The chart shows the distribution of publications by all Research.com ranked scientists in the field of Genetics in 2026. The highlighted bar marks where Inanc Birol sits on this spectrum.
This scientist: 216 publications — 56th percentile
56% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 703 publications or more.
The chart shows the D-index (discipline H-index) distribution of Genetics scientists ranked by Research.com in 2026. The highlighted bar marks where Inanc Birol sits on this spectrum.
This scientist: 73 D-Index — 54th percentile
54% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 160 D-Index or more.
Inanc Birol is affiliated with the University of British Columbia in Canada and has contributed extensively to the field of biochemistry, genetics, and molecular biology. Their research portfolio spans 172 publications, with a particular focus on molecular biology, plant science, infectious diseases, and genetics as key subfields.
Their studies cover a diverse range of topics, prominently including genomics and phylogenetic studies, RNA and protein synthesis mechanisms, and antimicrobial peptides and activities. Additional areas of focus comprise chromosomal and genetic variations, biochemical and structural characterization, machine learning applications in bioinformatics, and molecular biology techniques and applications.
Recent papers authored or co-authored by Inanc Birol highlight several subjects and publication outlets:
Frequent co-authors collaborating with Birol include René L. Warren, Lauren Coombe, Johnathan Wong, Ka Ming Nip, and Caren C. Helbing. These collaborations reflect sustained research partnerships resulting in numerous joint publications.
Birol's work has been published in several prominent scientific venues. The most frequent publication venues include:
The scientist's contributions to molecular biology and related fields reflect a broad interdisciplinary integration of experimental work and computational methods, including machine learning techniques aimed at solving biological questions.
Daniel C. Koboldt;Robert S. Fulton;Michael D. McLellan;Heather Schmidt
Martin I Krzywinski;Jacqueline E Schein;Inanc Birol;Joseph Connors
John N Weinstein;John N Weinstein;Eric A. Collisson;Gordon B Mills;Kenna R Mills Shaw;Kenna R Mills Shaw
Donna M. Muzny;Matthew N. Bainbridge;Kyle Chang;Huyen H. Dinh
Timothy J. Ley;Christopher Miller;Li Ding;Benjamin J. Raphael
Adam J. Bass;Vesteinn Thorsson;Ilya Shmulevich;Sheila M. Reynolds
Gad Getz;Stacey B. Gabriel;Kristian Cibulskis;Eric Lander
Michael S. Lawrence;Carrie Sougnez;Lee Lichtenstein;Kristian Cibulskis
Chad J. Creighton;Margaret Morgan;Preethi H. Gunaratne;Preethi H. Gunaratne;David A. Wheeler
Jared T. Simpson;Kim Wong;Shaun D. Jackman;Jacqueline E. Schein
Peter S. Hammerman;Doug Voet;Michael S. Lawrence;Douglas Voet
A. Gordon Robertson;Jaegil Kim;Hikmat Al-Ahmadie;Joaquim Bellmunt
Sohrab P. Shah;Andrew Roth;Rodrigo Goya;Arusha Oloumi
Benjamin J. Raphael;Ralph H. Hruban;Andrew J. Aguirre;Richard A. Moffitt
Morin Rd;Johnson Na;Severson Tm;Mungall Aj
Ryan D Morin;María Méndez-Lago;Andrew J Mungall;Rodrigo Goya
Trevor J Pugh;Olena Morozova;Edward F Attiyeh;Edward F Attiyeh;Shahab Asgharzadeh;Shahab Asgharzadeh
Gordon Robertson;Jacqueline Schein;Readman Chiu;Richard Corbett
Paul A. Northcott;Paul A. Northcott;David J.H. Shih;John Peacock;Livia Garzia
Kyle Chang;Chad J Creighton;Caleb Davis;Lawrence Donehower
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