Rajesh Kumar Pathak

1.9k total citations · 1 hit paper
63 papers, 895 citations indexed

About

Rajesh Kumar Pathak is a scholar working on Plant Science, Molecular Biology and Materials Chemistry. According to data from OpenAlex, Rajesh Kumar Pathak has authored 63 papers receiving a total of 895 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Plant Science, 18 papers in Molecular Biology and 8 papers in Materials Chemistry. Recurrent topics in Rajesh Kumar Pathak's work include Plant-Microbe Interactions and Immunity (8 papers), Computational Drug Discovery Methods (7 papers) and Effects and risks of endocrine disrupting chemicals (7 papers). Rajesh Kumar Pathak is often cited by papers focused on Plant-Microbe Interactions and Immunity (8 papers), Computational Drug Discovery Methods (7 papers) and Effects and risks of endocrine disrupting chemicals (7 papers). Rajesh Kumar Pathak collaborates with scholars based in India, South Korea and Spain. Rajesh Kumar Pathak's co-authors include Mamta Baunthiyal, Jun‐Mo Kim, Anil Kumar, Dinesh Pandey, Vanita Jain, Suneet Gupta, Parisa Rashidi, Neha Gupta, Jasjit S. Suri and Rohit Shukla and has published in prestigious journals such as PLoS ONE, Journal of Hazardous Materials and Scientific Reports.

In The Last Decade

Rajesh Kumar Pathak

56 papers receiving 870 citations

Hit Papers

Human activity recognition in artificial intelligence fra... 2022 2026 2023 2024 2022 50 100 150
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. Human activity recognition in artificial intelligence framework: a narrative review
    2022 176 citations Neha Gupta, Suneet Gupta et al. Artificial Intelligence Review profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rajesh Kumar Pathak India 18 265 236 110 68 61 63 895
Hyun‐Jeong Kim South Korea 28 341 1.3× 705 3.0× 34 0.3× 51 0.8× 25 0.4× 124 2.2k
Yanxin Huang China 24 162 0.6× 882 3.7× 30 0.3× 42 0.6× 52 0.9× 108 1.8k
Kumar Saurav India 22 124 0.5× 398 1.7× 44 0.4× 26 0.4× 76 1.2× 71 1.3k
Payel Ghosh India 17 157 0.6× 95 0.4× 72 0.7× 55 0.8× 9 0.1× 53 836
Jameel R. Al‐Obaidi Malaysia 21 230 0.9× 282 1.2× 27 0.2× 24 0.4× 30 0.5× 62 1.2k
Satarupa Banerjee India 17 91 0.3× 260 1.1× 54 0.5× 15 0.2× 105 1.7× 60 943
Hongge Chen China 21 160 0.6× 524 2.2× 71 0.6× 46 0.7× 86 1.4× 93 1.5k
Shaojun Zhang China 19 364 1.4× 491 2.1× 23 0.2× 26 0.4× 34 0.6× 45 1.2k
Shaoyong Zhang China 19 416 1.6× 331 1.4× 184 1.7× 15 0.2× 43 0.7× 113 1.3k
Xiaohua Shi China 14 232 0.9× 215 0.9× 29 0.3× 14 0.2× 93 1.5× 70 757

Countries citing papers authored by Rajesh Kumar Pathak

Since Specialization
Citations

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

Fields of papers citing papers by Rajesh Kumar Pathak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rajesh Kumar Pathak

This figure shows the co-authorship network connecting the top 25 collaborators of Rajesh Kumar Pathak. A scholar is included among the top collaborators of Rajesh Kumar Pathak 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 Rajesh Kumar Pathak. Rajesh Kumar Pathak 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.
Pathak, Rajesh Kumar, et al.. (2025). Probing vertical magnetic fields with negative capacitance GAA-FinFET: sensitivity and performance analysis. Physica Scripta. 100(6). 65007–65007.
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Ryu, Do‐Yeal, et al.. (2024). Integrative transcriptomic profiling uncovers immune and functional responses to bisphenol a across multiple tissues in male mice. Animal Cells and Systems. 28(1). 519–535. 1 indexed citations
5.
Pathak, Rajesh Kumar & Jun‐Mo Kim. (2024). Structural insight into the mechanisms and interacting features of endocrine disruptor Bisphenol A and its analogs with human estrogen-related receptor gamma. Environmental Pollution. 345. 123549–123549. 19 indexed citations
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Pathak, Rajesh Kumar & Jun‐Mo Kim. (2023). Identification of histidine kinase inhibitors through screening of natural compounds to combat mastitis caused by Streptococcus agalactiae in dairy cattle. Journal of Biological Engineering. 17(1). 59–59. 4 indexed citations
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Pathak, Rajesh Kumar, et al.. (2022). Unraveling structural and conformational dynamics of DGAT1 missense nsSNPs in dairy cattle. Scientific Reports. 12(1). 4873–4873. 12 indexed citations
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Pathak, Rajesh Kumar, Young-Jun Seo, & Jun‐Mo Kim. (2022). Structural insights into inhibition of PRRSV Nsp4 revealed by structure-based virtual screening, molecular dynamics, and MM-PBSA studies. Journal of Biological Engineering. 16(1). 4–4. 18 indexed citations
11.
Gupta, Neha, Suneet Gupta, Rajesh Kumar Pathak, et al.. (2022). Human activity recognition in artificial intelligence framework: a narrative review. Artificial Intelligence Review. 55(6). 4755–4808. 176 indexed citations breakdown →
12.
Pathak, Rajesh Kumar & Jun‐Mo Kim. (2022). Vetinformatics from functional genomics to drug discovery: Insights into decoding complex molecular mechanisms of livestock systems in veterinary science. Frontiers in Veterinary Science. 9. 1008728–1008728. 3 indexed citations
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Pathak, Rajesh Kumar, et al.. (2022). Investigating Multi-Target Antiviral Compounds by Screening of Phytochemicals From Neem (Azadirachta indica) Against PRRSV: A Vetinformatics Approach. Frontiers in Veterinary Science. 9. 854528–854528. 12 indexed citations
14.
Pathak, Rajesh Kumar, et al.. (2021). Molecular Docking and Antibacterial Studies of Pyranopyrazole Derivatives Synthesized Using [Pap-Glu@Chi] Biocatalyst Through a Greener Approach. Arabian Journal for Science and Engineering. 47(1). 347–363. 18 indexed citations
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Kumar, Sumit, Rajesh Kumar Pathak, Dev Bukhsh Singh, Arun Bhatt, & Mamta Baunthiyal. (2021). Chemo-informatics guided study of natural inhibitors targeting rho GTPase: a lead for treatment of glaucoma. In Silico Pharmacology. 9(1). 4–4. 3 indexed citations
16.
Kaur, Komalpreet, et al.. (2020). N-alkyl isatin derivatives: Synthesis, nematicidal evaluation and protein target identifications for their mode of action. Pesticide Biochemistry and Physiology. 171. 104736–104736. 12 indexed citations
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Pathak, Rajesh Kumar, et al.. (2018). Identification of new drug-like compounds from millets as Xanthine oxidoreductase inhibitors for treatment of Hyperuricemia: A molecular docking and simulation study. Computational Biology and Chemistry. 76. 32–41. 48 indexed citations
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Sharma, Pushpendra, et al.. (2015). Computer aided screening of natural compounds targeting the E6 protein of HPV using molecular docking. Bioinformation. 11(5). 236–242. 27 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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