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 Haixu Tang sits on this spectrum.
This scientist: 200 publications — 51st percentile
51% 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 Haixu Tang sits on this spectrum.
This scientist: 60 D-Index — 29th percentile
29% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 160 D-Index or more.
Haixu Tang is affiliated with Indiana University in the United States and engages in research that spans Biochemistry, Genetics and Molecular Biology as well as Computer Science. Their work includes a strong focus on Molecular Biology, Spectroscopy, Artificial Intelligence, Genetics, and Information Systems, reflecting an interdisciplinary approach to biological and computational sciences.
The scientist's research covers key topics such as:
Haixu Tang has a notable record of recent publications, including:
Their publication record also indicates frequent co-authorship with several researchers, including Yuzhen Ye, Sujun Li, Yuhui Hong, Kaiyuan Liu, and Xiaofeng Wang.
Haixu Tang has contributed to multiple publishing venues, with the highest number of publications appearing in arXiv (Cornell University) and bioRxiv (Cold Spring Harbor Laboratory), followed by Bioinformatics, Nature Communications, and Analytical Chemistry. This distribution highlights a presence in both preprint and peer-reviewed journals focused on computational biology and analytical methods.
In addition to articles, Tang has authored books published by respected scientific publishers. These include "Neural Networks for Chemists" released by the American Chemical Society in 2024 and "Research in Computational Molecular Biology" published by Springer Science+Business Media in 2023.
Pavel A. Pevzner;Haixu Tang;Michael S. Waterman
John K. Colbourne;Michael E. Pfrender;Michael E. Pfrender;Donald Gilbert;W. Kelley Thomas
Mina Rho;Haixu Tang;Yuzhen Ye
Heewook Lee;Ellen Popodi;Haixu Tang;Patricia L. Foster
Yongan Zhao;Haixu Tang;Yuzhen Ye
Wenhao Wang;Guoxing Chen;Xiaorui Pan;Yinqian Zhang
Pavel A Pevzner;Haixu Tang;Glenn Tesler
Rui Wang;Yong Fuga Li;XiaoFeng Wang;Haixu Tang
Mark Chaisson;Pavel Pevzner;Haixu Tang
Lucy Cherbas;Aarron Willingham;Aarron Willingham;Dayu Zhang;Li Yang
Steffen Heber;Max A. Alekseyev;Sing-Hoi Sze;Haixu Tang
Zhiqun Xie;Haixu Tang
Todd Blevins;Todd Blevins;Ram Podicheti;Vibhor Mishra;Michelle Marasco
Zhaoshi Jiang;Haixu Tang;Mario Ventura;Maria Francesca Cardone
Neethu Shah;Haixu Tang;Thomas G. Doak;Yuzhen Ye
Haixu Tang;Randy J. Arnold;Pedro Alves;Zhiyin Xun
Yunhui Long;Vincent Bindschaedler;Lei Wang;Diyue Bu
Andrzej T. Wierzbicki;Ross Cocklin;Anoop Mayampurath;Ryan Lister
Mina Rho;Yu Wei Wu;Haixu Tang;Thomas G. Doak
Benjamin Raphael;Degui Zhi;Haixu Tang;Pavel Pevzner
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