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Walter I. Silva- Ortiz

Similar People (60)

Similar people share similar sets of concepts, but are not necessarily co-authors.
Similar people share similar sets of concepts, but are not necessarily co-authors.
Name Also Co-Authors Similarity Score Why?
John M. Tarbell, PhD
9.458
John Zhang
9.417
Jorge Miranda
Yes
4.140
Xuebiao Yao
3.556
Khosrow Kashfi, PhD
3.332
George Perry
3.251
John (Jack) Martin, PhD
2.813
Themis Lazaridis, PhD
2.711
Zhigang Xiong
2.706
Karam F. Soliman
2.487
Robert Kirken
2.460
Gianluca Tosini
2.253
Mitchell B Schaffler, PhD
2.110
Xiaodu Wang
2.097
Héctor Maldonado
Yes
1.862
Kathleen Sullivan, APRN, PMHCNS-BC
1.785
Michelle Tallquist, PHD
1.716
David A. Foster
1.708
Bindong Liu
1.692
Xiaohe Yang
1.675
Michael J. Zvolensky, PhD
1.672
Serguei Skatchkov
1.614
Zhongmao Guo
1.524
Robert A. Nichols, Ph.D.
1.523
Subhash C Chauhan
1.505
Indrajit Chowdhury, PhD, MS., BS.
1.493
Kim Kline
1.489
Sabzali Javadov
1.488
Maria Figueiredo-Pereira
1.475
Karunya Kandimalla
1.464
Hong Yang
1.449
Minu Chaudhuri
1.427
Roger simon
1.421
Gregory J. Quirk
1.386
Rajesh Jha, PhD
1.377
Ralph V. Shohet, MD
1.373
Yohannes Tesfaigzi
1.367
Madhuri Wadehra, PhD
1.367
Jaydutt V Vadgama, PhD
1.350
Momoh Yakubu
1.333
Andrew Tsin
1.329
Josiah Ochieng
1.309
Richard J. Pietras, MD, PhD
1.265
Charles J. Wilson
1.264
Lishomwa Ndhlovu, MD PhD
1.253
Renato J. Aguilera
1.208
Barry Rosen
1.203
Omid A. Khorram, MD, PhD
1.186
Jonathan K. Stiles
1.176
Woo-Kuen K. Lo
1.174
Olorunseun Ogunwobi
1.171
Peter R. Hoffmann, PhD
1.163
Elizabeth Mazzio, Ph.D.
1.159
Ranajeet Ghose, PhD
1.157
Paul B. Bernard Tchounwou
1.124
Thomas Heinbockel
1.119
Qing Li, PhD
1.085
Guillermo Yudowski
1.062
Misty Eaton
1.060
Michael G Ross, MD
1.059
Silva- Ortiz's Networks
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Concepts (75)
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Co-Authors (4)
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Similar People (60)
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RCMI CC is supported by the National Institute on Minority Health and Health Disparities, National Institutes of Health (NIH), through Grant Number U24MD015970. The contents of this site are solely the responsibility of the authors and do not necessarily represent the official views of the NIH

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