Pawan Kumar

974 total citations · 1 hit paper
57 papers, 647 citations indexed

About

Pawan Kumar is a scholar working on Plant Science, Infectious Diseases and Artificial Intelligence. According to data from OpenAlex, Pawan Kumar has authored 57 papers receiving a total of 647 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Plant Science, 9 papers in Infectious Diseases and 9 papers in Artificial Intelligence. Recurrent topics in Pawan Kumar's work include SARS-CoV-2 and COVID-19 Research (6 papers), Computational Drug Discovery Methods (6 papers) and Smart Agriculture and AI (5 papers). Pawan Kumar is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (6 papers), Computational Drug Discovery Methods (6 papers) and Smart Agriculture and AI (5 papers). Pawan Kumar collaborates with scholars based in India, Saudi Arabia and United States. Pawan Kumar's co-authors include Jesse S. Samuel, Ankur Gautam, Sourav Kalra, Sandeep Singh, Gajendra P. S. Raghava, Meenu Sharma, Salman Sadullah Usmani, Amresh Prakash, Senthil Pandi S and Gautam Das and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Pawan Kumar

43 papers receiving 635 citations

Hit Papers

THPdb: Database of FDA-approved peptide and protein thera... 2017 2026 2020 2023 2017 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. THPdb: Database of FDA-approved peptide and protein therapeutics
    2017 365 citations Pawan Kumar et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Pawan Kumar India 9 339 108 105 92 41 57 647
Deepak Singla India 17 366 1.1× 183 1.7× 50 0.5× 56 0.6× 64 1.6× 42 675
Usman Sumo Friend Tambunan Indonesia 17 450 1.3× 155 1.4× 131 1.2× 43 0.5× 101 2.5× 92 942
Md. Arif Khan Bangladesh 21 468 1.4× 145 1.3× 181 1.7× 29 0.3× 82 2.0× 45 897
Subhomoi Borkotoky India 15 381 1.1× 102 0.9× 139 1.3× 33 0.4× 64 1.6× 28 681
David Shiuan Taiwan 19 527 1.6× 61 0.6× 41 0.4× 118 1.3× 70 1.7× 55 921
Meenu Sharma India 7 607 1.8× 70 0.6× 71 0.7× 185 2.0× 29 0.7× 20 800
Xingzhen Lao China 15 592 1.7× 42 0.4× 105 1.0× 128 1.4× 22 0.5× 32 957
Vladimir Perović Serbia 15 294 0.9× 115 1.1× 127 1.2× 8 0.1× 51 1.2× 46 627
Kuan Y. Chang Taiwan 13 516 1.5× 44 0.4× 44 0.4× 283 3.1× 13 0.3× 24 791
Jennifer Geddes‐McAlister Canada 18 481 1.4× 38 0.4× 336 3.2× 60 0.7× 67 1.6× 76 1.2k

Countries citing papers authored by Pawan Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Pawan Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pawan Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Pawan Kumar. A scholar is included among the top collaborators of Pawan Kumar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Pawan Kumar. Pawan Kumar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kumar, Pawan, Indu Kumari, Rajendra Prasad, et al.. (2025). Elucidating the binding specificity of interactive compounds targeting ATP-binding cassette subfamily G member 2 (ABCG2). Molecular Diversity. 29(6). 5635–5648. 1 indexed citations
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Kumar, Pawan, et al.. (2024). Studies on the Effect of Chemical Weed Management on Growth Indices, Yield and Quality of Irrigated Chickpea (Cicer arietinum L.). International Journal of Plant & Soil Science. 36(2). 248–257. 1 indexed citations
5.
Kumar, Pawan & Vipin Saxena. (2024). Nested Levels of Hybrid Cryptographical Technique for Secure Information Exchange. Journal of Computer and Communications. 12(2). 201–210. 2 indexed citations
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Kaushik, Nagendra Kumar, T. S. Rathore, & Pawan Kumar. (2024). Email Traceback: Securing Systems from Phishing and Malicious Link Prevention. 647–652.
8.
Abdel‐Naim, Ashraf B., Pawan Kumar, Waleed Y. Rizg, et al.. (2024). Computational insights into dynamics and conformational stability of N-acetylmannosamine kinase mutations. Journal of Biomolecular Structure and Dynamics. 43(16). 8973–8983. 1 indexed citations
9.
Kumar, Pawan, Rajni Khan, Anisha Kumari, et al.. (2024). Hydroxyethylamine based analog targets microtubule assembly: an in silico study for anti-cancerous drug development. Scientific Reports. 14(1). 31381–31381. 1 indexed citations
10.
S, Senthil Pandi, et al.. (2024). Effective Deep Learning Framework for Crop Pest Classification. 1–6. 9 indexed citations
11.
Mishra, Bamdev, et al.. (2023). Riemannian Hamiltonian Methods for Min-Max Optimization on Manifolds. SIAM Journal on Optimization. 33(3). 1797–1827. 3 indexed citations
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Mishra, Bamdev, et al.. (2023). Light-weight Deep Extreme Multilabel Classification. 42. 1–8. 1 indexed citations
14.
Kumar, Pawan, et al.. (2022). Computing the Sum of k Largest Laplacian Eigenvalues of Tricyclic Graphs. SHILAP Revista de lepidopterología. 11. 14–18. 2 indexed citations
15.
Bhardwaj, Vijay Kumar, Vinod Kumar, Pawan Kumar, et al.. (2022). Theaflavin 3-gallate inhibits the main protease (Mpro) of SARS-CoV-2 and reduces its count in vitro. Scientific Reports. 12(1). 13146–13146. 29 indexed citations
16.
Rabaan, Ali A., Shamsah H. Al-Ahmed, Ranjit Sah, et al.. (2020). Genomic Epidemiology and Recent Update on Nucleic Acid–Based Diagnostics for COVID-19. Publisher. 1 indexed citations
17.
Kumar, Pawan, et al.. (2017). CRITICAL ASSESSMENT OF CONTRIBUTION FROM INDIAN PUBLICATIONS: THE ROLE OF IN SILICO DESIGNING METHODS LEADING TO DRUGS OR DRUG-LIKE COMPOUNDS USING TEXT BASED MINING AND ASSOCIATION. Journal of Proteins and Proteomics. 8(3). 1 indexed citations
18.
Kaur, Gurpreet, et al.. (2016). Isolation and Characterization of OMPs and OMVs of Brucella abortus S19 and Brucella abortus S19Δper. Journal of Pure and Applied Microbiology. 10(3). 2121–2126. 1 indexed citations
19.
Srinivas, T. N. R., et al.. (2013). Lunatimonas lonarensis gen. nov., sp. nov., a haloalkaline bacterium of the family Cyclobacteriaceae with nitrate reducing activity. Systematic and Applied Microbiology. 37(1). 10–16. 19 indexed citations
20.
Kumar, Pawan, et al.. (2007). Breaking yield barriers in pearlmillet (Pennisetum glaucum)-wheat (Triticum aestivum) cropping system through agronomic operations in semi-arid Haryana. The Indian Journal of Agricultural Sciences. 77(8). 479–482. 1 indexed citations

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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