Devvret Verma

67 papers receiving 984 citations

Devvret Verma's Hit Papers

Anticancer Drug Discovery Based on Natural Products: From Computational Approaches to Clinical Studies 2024 · 174 citations
1740+1Years since publication50100150

Peers

Devvret Verma
Comparison fields: 5 of 151
  • Health Informatics 13
  • Health Information Management 24
  • Complementary and alternative medicine 39
  • Molecular Medicine 23
  • Computational Theory and Mathematics 67
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Kumud Pant India
Khalid Raza India
Ke Yu United States
Jun Liao China
Leihong Wu United States
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Countries citing papers authored by Devvret Verma

Since Specialization
Citations

This map shows the geographic impact of Devvret Verma'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 Devvret Verma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Devvret Verma more than expected).

Fields of papers citing papers by Devvret Verma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Devvret Verma. 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 Devvret Verma. The network helps show where Devvret Verma may publish in the future.

Co-authors

The 25 scholars most cited alongside Devvret Verma, 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 Devvret Verma Line = papers co-authored together Devvret Verma links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Anticancer Drug Discovery Based on Natural Products: From Computational Approaches to Clinical Studies
Hit paper breakdown →
2024174
2 2021130
3 2022108
4 202176
5 202045
6 202137
7 202234
8 202133
9 202132
10 202230
11 202328
12 202220
13 202317
14 202515
15 202315
16 202215
17 202413
18 202213
19 202213
20 202213

About Devvret Verma

Devvret Verma is a scholar working on Information Systems, Computer Networks and Communications, Plant Science, Molecular Biology and Computer Vision and Pattern Recognition, having authored 76 papers that have together received 1.0k indexed citations. Recurring topics across this work include Internet of Things and AI (11 papers), Blockchain Technology Applications and Security (9 papers), IoT and Edge/Fog Computing (7 papers), Computational Drug Discovery Methods (7 papers), Smart Systems and Machine Learning (7 papers), Smart Agriculture and AI (5 papers), COVID-19 diagnosis using AI (5 papers) and Artificial Intelligence in Healthcare (4 papers). The work is most often cited by research in Health Informatics (13 citations), Health Information Management (24 citations), Complementary and alternative medicine (39 citations), Molecular Medicine (23 citations) and Computational Theory and Mathematics (67 citations). Devvret Verma has collaborated with scholars based in India, Saudi Arabia and United States. Frequent co-authors include Debasis Mitra, Divya Jain, Rittick Mondal, Sudip Some, Sanjay Kumar, Richa Mishra, Rajni Dubey, Himanshu Narayan Singh, Aftab Ahmad and Mohammed Kaleem. Their work appears in journals such as Computational Intelligence and Neuroscience, Journal of Biomolecular Structure and Dynamics, Environmental and Experimental Botany, Frontiers in Pharmacology and Catalysts.

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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