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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
9.005
John Zhang
8.962
Jorge Miranda
Yes
3.952
Xuebiao Yao
3.397
Zhigang Xiong
3.272
Khosrow Kashfi, PhD
3.152
George Perry
3.108
John (Jack) Martin, PhD
2.678
Themis Lazaridis, PhD
2.589
Karam F. Soliman
2.365
Robert Kirken
2.337
Gianluca Tosini
2.13
Kim Kline
2.108
Mitchell B Schaffler, PhD
2.010
Xiaodu Wang
2.005
Héctor Maldonado
Yes
1.798
Karunya Kandimalla
1.765
Kathleen Sullivan, APRN, PMHCNS-BC
1.717
Maria Figueiredo-Pereira
1.708
Serguei Skatchkov
1.665
Michael J. Zvolensky, PhD
1.636
Xiaohe Yang
1.629
David A. Foster
1.621
Bindong Liu
1.603
Michelle Tallquist, PHD
1.531
Robert A. Nichols, Ph.D.
1.455
Zhongmao Guo
1.447
Sabzali Javadov
1.436
Subhash C Chauhan
1.425
Indrajit Chowdhury, PhD, MS., BS.
1.412
Hong Yang
1.376
Minu Chaudhuri
1.365
Roger simon
1.351
Rajesh Jha, PhD
1.338
Renato J. Aguilera
1.329
Gregory J. Quirk
1.318
Ralph V. Shohet, MD
1.316
Yohannes Tesfaigzi
1.305
Madhuri Wadehra, PhD
1.296
Momoh Yakubu
1.295
Jaydutt V Vadgama, PhD
1.291
Andrew Tsin
1.262
Josiah Ochieng
1.242
Ming Liu
1.229
Richard J. Pietras, MD, PhD
1.222
Omid A. Khorram, MD, PhD
1.219
Charles J. Wilson
1.210
Lishomwa Ndhlovu, MD PhD
1.201
William A. Boisvert, PhD
1.172
Ranajeet Ghose, PhD
1.147
Barry Rosen
1.147
Jonathan K. Stiles
1.127
Olorunseun Ogunwobi
1.124
Woo-Kuen K. Lo
1.124
Elizabeth Mazzio, Ph.D.
1.106
Paul B. Bernard Tchounwou
1.077
Peter R. Hoffmann, PhD
1.067
Thomas Heinbockel
1.065
Pandu Gangula
1.064
Qing Li, PhD
1.031
Silva- Ortiz's Networks
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Concepts (77)
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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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