Devvret Verma

75 papers receiving 1.1k citations

Devvret Verma's Hit Papers

Anticancer Drug Discovery Based on Natural Products: From Computational Approaches to Clinical Studies 2024 · 176 citations
1760+1Years since publication50100150

Peers

Devvret Verma
Comparison fields: 5 of 154
  • Health Informatics 13
  • Health Information Management 27
  • Complementary and alternative medicine 40
  • Neurology 38
  • Molecular Medicine 23
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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 84 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 →
2024176
2 2021136
3 2022121
4 202177
5 202051
6 202244
7 202142
8 202139
9 202133
10 202230
11 202328
12 202221
13 202317
14 202217
15 202216
16 202316
17 202216
18 202316
19 202515
20 202215

About Devvret Verma

Devvret Verma is a scholar working on Information Systems, Plant Science, Computer Networks and Communications, Molecular Biology and Computer Vision and Pattern Recognition, having authored 84 papers that have together received 1.2k indexed citations. Recurring topics across this work include Internet of Things and AI (12 papers), Blockchain Technology Applications and Security (9 papers), Smart Systems and Machine Learning (8 papers), IoT and Edge/Fog Computing (7 papers), Computational Drug Discovery Methods (7 papers), Smart Agriculture and AI (5 papers), Brain Tumor Detection and Classification (5 papers) and COVID-19 diagnosis using AI (5 papers). The work is most often cited by research in Health Informatics (13 citations), Health Information Management (27 citations), Complementary and alternative medicine (40 citations), Neurology (38 citations) and Molecular Medicine (23 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, Richa Mishra, Sanjay Kumar, Rajni Dubey, Sagar S. Bhayye, Himanshu Narayan Singh and Pritee Chunarkar Patil. Their work appears in journals such as Computational Intelligence and Neuroscience, Environmental and Experimental Botany, Frontiers in Pharmacology, Journal of Biomolecular Structure and Dynamics and Contrast Media & Molecular Imaging.

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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