Devendra Kumar

1.9k citations
104 papers · 1.4k · h-index 21

Impact in

Papers in

Devendra Kumar

88 papers receiving 1.4k citations

Peers

Devendra Kumar
Comparison fields: 5 of 138
  • Pharmacology 283
  • Computational Theory and Mathematics 246
  • Bioengineering 80
  • Organic Chemistry 324
  • Electrochemistry 44
Replace Hani A. Alhadrami with:
Hani A. Alhadrami Saudi Arabia
Michel Nguyen France
Rong Zhang China
Patrick Gaillard Switzerland
Ranendra Narayan Saha India
Rajesh K. Singh India
Xiaolan Yang China
Adel M. Al Fatease Saudi Arabia
Fazlul Huq Australia
Devendra Kumar relative to Hani A. Alhadrami Saudi Arabia Hani A. Alhadrami's profile →
Citations per field
00.5×2×2.9×
Hani A. Alhadrami · 1×
Citations per year

Countries citing papers authored by Devendra Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Devendra Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 104 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020113
2 2007107
3 202067
4 201065
5 202158
6 202257
7 202249
8 201948
9 202140
10 201939
11 201939
12 201937
13 202335
14 202331
15 202431
16 202428
17 201928
18 201626
19 201026
20 201922

About Devendra Kumar

Devendra Kumar is a scholar working on Pharmacology, Computational Theory and Mathematics, Organic Chemistry, Infectious Diseases and Complementary and alternative medicine, having authored 104 papers that have together received 1.4k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (20 papers), Cholinesterase and Neurodegenerative Diseases (18 papers), Synthesis and biological activity (10 papers), Electrochemical sensors and biosensors (6 papers), Alzheimer's disease research and treatments (6 papers), Inflammatory mediators and NSAID effects (5 papers), Medicinal Plants and Neuroprotection (5 papers) and Conducting polymers and applications (5 papers). The work is most often cited by research in Pharmacology (283 citations), Computational Theory and Mathematics (246 citations), Bioengineering (80 citations), Organic Chemistry (324 citations) and Electrochemistry (44 citations). Devendra Kumar has collaborated with scholars based in India, Qatar and United States. Frequent co-authors include Sushil Kumar Singh, Ankit Ganeshpurkar, Bhupinder Kumar, Sahil Sharma, Vikramdeep Monga, Gurpreet Singh, Ashok Kumar, Ravi Singh, Gopichand Gutti and Anju Aggarwal. Their work appears in journals such as Journal of Biomolecular Structure and Dynamics, Abdominal Radiology, Bioorganic Chemistry, Emergency Radiology and International Journal of Biological Macromolecules.

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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