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Guillermo Armaiz Pena

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?
Michael J. Zvolensky, PhD
38.24
Melissa Merritt, PhD
33.86
Anna Schwartz
22.31
Subhash C Chauhan
20.83
Pablo Vivas
Yes
15.29
Barry Rosen
15.01
Rajesh Singh
14.04
John Zhang
12.55
Carrie House
12.33
Brenda Y. Hernandez,PhD
12.29
Roberto B Vargas, MD
12.27
Amr Soliman, MD/PhD
11.65
J Shawn Goodwin
11.52
Glorisa Canino
11.39
Hassan Ashktorab
11.30
Khosrow Kashfi, PhD
11.21
Karam F. Soliman
11.01
Gertraud Maskarinec, MD PhD
10.64
Murali Yallapu
10.40
Madhuri Wadehra, PhD
10.31
Keith Norris
10.11
Paul B. Bernard Tchounwou
9.199
Jaydutt V Vadgama, PhD
8.989
Xuebiao Yao
8.914
Kristen Wells
8.584
Keith Terada, MD
8.468
Kathleen Sullivan, APRN, PMHCNS-BC
8.354
James Lillard
8.056
Michele Carbone, MD, PhD.
7.846
Omid A. Khorram, MD, PhD
7.665
George Perry
7.654
Peter R. Hoffmann, PhD
7.372
Guadalupe Ayala
7.351
Lorraine R. Reitzel, PhD, FAAHB, FSRNT
7.314
Jeffrey T. Parsons
7.213
Anka A. Vujanovic, PhD
7.140
Akshay Sood
7.136
Shailesh Singh
7.109
Anne L. Coleman, MD, PhD
7.045
Deok-Soo Son
7.020
Shervin Assari, MD
6.985
Kim Kline
6.979
Qing Li, PhD
6.809
Mary Jo Trepka
6.723
Marcia Cruz-Correa
6.561
Marlene Camacho-Rivera
6.515
Dong Liang
6.455
Muller Fabbri, MD, PhD
6.452
Andrew Taylor, Ph.D.
6.201
Valerie Odero-Marah
6.143
Jianying Zhang
6.114
Guangdi Wang
5.945
Kun Zhang
5.884
Victoria N. Luine
5.849
Xiaohe Yang
5.831
Youping Deng, PhD
5.787
Suranganie Dharmawardhane
5.684
Mandip S. Sachdeva
5.684
Richard J. Pietras, MD, PhD
5.627
David A. Foster
5.611
Armaiz Pena's Networks
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Concepts (243)
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Co-Authors (5)
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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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