Manish Tripathi

83 papers receiving 1.4k citations

Peers

Manish Tripathi
Comparison fields: 5 of 128
  • Pharmacology 359
  • Computational Theory and Mathematics 356
  • Complementary and alternative medicine 143
  • Biological Psychiatry 20
  • Organic Chemistry 207
Replace Antonio Carrieri with:
Antonio Carrieri Italy
Rajnish Kumar India
Chengyuan Liang China
Cleydson B. R. Santos Brazil
Khaled M. Elokely United States
Jayme L. Dahlin United States
Sarah Naomi Bolz Germany
Ean‐Jeong Seo Germany
Samir Yahiaoui France
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Citations per field
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Citations per year

Countries citing papers authored by Manish Tripathi

Since Specialization
Citations

This map shows the geographic impact of Manish Tripathi's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Manish Tripathi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manish Tripathi more than expected).

Fields of papers citing papers by Manish Tripathi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Manish Tripathi. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Manish Tripathi. The network helps show where Manish Tripathi may publish in the future.

Co-authors

The 25 scholars most cited alongside Manish Tripathi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Manish Tripathi Line = papers co-authored together Manish Tripathi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 93 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018176
2 2018133
3 2020101
4 201987
5 202171
6 201958
7 201852
8 201744
9 202040
10 202139
11 201835
12 201429
13 201525
14 201224
15 201724
16 202222
17 201621
18 201920
19 202218
20 202118

About Manish Tripathi

Manish Tripathi is a scholar working on Computational Theory and Mathematics, Molecular Biology, Plant Science, Ecology, Evolution, Behavior and Systematics and Pharmacology, having authored 93 papers that have together received 1.4k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (21 papers), Lichen and fungal ecology (15 papers), Mycorrhizal Fungi and Plant Interactions (12 papers), Cholinesterase and Neurodegenerative Diseases (10 papers), SARS-CoV-2 and COVID-19 Research (8 papers), Plant Pathogens and Fungal Diseases (6 papers), Malaria Research and Control (5 papers) and Synthesis and biological activity (4 papers). The work is most often cited by research in Pharmacology (359 citations), Computational Theory and Mathematics (356 citations), Complementary and alternative medicine (143 citations), Biological Psychiatry (20 citations) and Organic Chemistry (207 citations). Manish Tripathi has collaborated with scholars based in India, United States and Saudi Arabia. Frequent co-authors include Sushant K. Shrivastava, Avanish Tripathi, Piyoosh Sharma, Ankit Seth, Prabhash Nath Tripathi, Pushpendra Singh, Punit Kaur, Pavan Srivastava, A.S. Ethayathulla and T.P. Singh. Their work appears in journals such as Journal of Biomolecular Structure and Dynamics, Bioorganic Chemistry, Microbial Pathogenesis, European Journal of Medicinal Chemistry and Annals of Surgical Oncology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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