175 publications in total across all disciplines
The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2027. The highlighted bar marks where Hao Zhu sits on this spectrum.
This scientist: 72 publications — 2nd percentile
2% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 991 publications or more.
The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2027. The highlighted bar marks where Hao Zhu sits on this spectrum.
This scientist: 43 D-Index — 46th percentile
46% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Hao Zhu is affiliated with Rutgers, The State University of New Jersey in the United States. Their research activities primarily focus on the field of Medicine, with specific contributions extending into several subfields including Computational Theory and Mathematics, Materials Chemistry, Cognitive Neuroscience, Molecular Biology, and Pharmacology.
The scientist's main topics of work encompass Computational Drug Discovery Methods, Maternal and Fetal Healthcare, Machine Learning in Materials Science, Metabolomics and Mass Spectrometry Studies, Pregnancy and Preeclampsia Studies, Pharmacogenetics and Drug Metabolism, and Animal Testing and Alternatives.
Hao Zhu has published multiple research papers in various scientific venues. Notable recent papers include:
Frequent publication venues where Hao Zhu's work appears include Environmental Science & Technology, SSRN Electronic Journal, UNC Libraries, Environmental Health Perspectives, and ACS Sustainable Chemistry & Engineering.
Among coauthors who have collaborated with Hao Zhu frequently are Daniel P. Russo, Lauren M. Aleksunes, Heather L. Ciallella, Xuelian Jia, and Xiliang Yan.
Hao Zhu has contributed to book literature as well, with a publication titled High-Throughput Screening Assays in Toxicology, released in 2022 by Springer Science+Business Media.
Lu Zhang;Jianjun Tan;Dan Han;Hao Zhu;Hao Zhu
Igor V. Tetko;Iurii Sushko;Anil Kumar Pandey;Hao Zhu
Hao Zhu
Todd M. Martin;Paul Harten;Douglas M. Young;Eugene N. Muratov;Eugene N. Muratov
Hao Zhu;Alexander Tropsha;Denis Fourches;Alexandre Varnek
Hao Zhu;Todd M. Martin;Lin Ye;Alexander Sedykh
Yen Low;Takeki Uehara;Yohsuke Minowa;Hiroshi Yamada
Liying Zhang;Hao Zhu;Tudor I. Oprea;Alexander Golbraikh
Heather L. Ciallella;Hao Zhu
Linlin Zhao;Heather L. Ciallella;Lauren M. Aleksunes;Hao Zhu
Nicholas Ball;Mark T.D. Cronin;Jie Shen;Karen Blackburn
Gilles Klopman;Hao Zhu
Hao Zhu;Jun Zhang;Marlene T. Kim;Abena Boison
Daniel P. Russo;Kimberley M. Zorn;Alex Michael Clark;Hao Zhu
Amie D. Rodgers;Hao Zhu;Dennis Fourches;Ivan Rusyn
Kamel Mansouri;Agnes L. Karmaus;Jeremy Fitzpatrick;Grace Patlewicz
Alexander Sedykh;Hao Zhu;Hao Tang;Liying Zhang
Xiliang Yan;Xiliang Yan;Alexander Sedykh;Alexander Sedykh;Wenyi Wang;Bing Yan;Bing Yan
Liying Zhang;Denis Fourches;Alexander Sedykh;Hao Zhu
Thomas Luechtefeld;Alexandra Maertens;Daniel P. Russo;Costanza Rovida
Liying Zhang;Alexander Sedykh;Ashutosh Tripathi;Hao Zhu
Hao Zhu;Mounir Bouhifd;Elizabeth Donley;Laura Egnash
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