Abhimanyu Kumar Jha

120 total papers · 710 total citations
39 papers, 456 citations indexed

About

Abhimanyu Kumar Jha is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Oncology. According to data from OpenAlex, Abhimanyu Kumar Jha has authored 39 papers receiving a total of 456 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 6 papers in Public Health, Environmental and Occupational Health and 5 papers in Oncology. Recurrent topics in Abhimanyu Kumar Jha's work include Epigenetics and DNA Methylation (12 papers), Cancer-related gene regulation (9 papers) and Cancer-related molecular mechanisms research (3 papers). Abhimanyu Kumar Jha is often cited by papers focused on Epigenetics and DNA Methylation (12 papers), Cancer-related gene regulation (9 papers) and Cancer-related molecular mechanisms research (3 papers). Abhimanyu Kumar Jha collaborates with scholars based in India, Nepal and Saudi Arabia. Abhimanyu Kumar Jha's co-authors include Jagdeep Kaur, Niraj Kumar Jha, Saurabh Kumar Jha, Mohsen Nikbakht, Anju Shrivastava, Neena Capalash, Dhruv Kumar, Anuradha Bhardwaj, Chiara Villa and Rahul Deka and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Frontiers in Immunology.

In The Last Decade

Abhimanyu Kumar Jha

33 papers receiving 442 citations

Hit Papers

Antioxidants in Alzheimer... 2022 2026 2023 2024 2022 25 50 75 100

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Abhimanyu Kumar Jha 221 82 59 52 46 39 456
Tong Lin 156 0.7× 63 0.8× 32 0.5× 32 0.6× 59 1.3× 45 453
Lan Yao 207 0.9× 42 0.5× 41 0.7× 19 0.4× 35 0.8× 37 511
Xi Xiong 134 0.6× 55 0.7× 41 0.7× 41 0.8× 41 0.9× 44 434
Md Sayeed Akhtar 154 0.7× 23 0.3× 53 0.9× 33 0.6× 20 0.4× 39 515
Na Xing 192 0.9× 58 0.7× 39 0.7× 30 0.6× 31 0.7× 27 531
Nayelli Nájera 166 0.8× 89 1.1× 25 0.4× 30 0.6× 12 0.3× 52 473
Xiao Chen 76 0.3× 106 1.3× 37 0.6× 27 0.5× 20 0.4× 33 431
Sílvia Bona 119 0.5× 53 0.6× 35 0.6× 13 0.3× 58 1.3× 27 471
Shan Li 124 0.6× 46 0.6× 43 0.7× 38 0.7× 25 0.5× 57 477
Xiuzhen Wang 247 1.1× 45 0.5× 36 0.6× 55 1.1× 139 3.0× 39 551

Countries citing papers authored by Abhimanyu Kumar Jha

Since Specialization
Citations

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

Fields of papers citing papers by Abhimanyu Kumar Jha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abhimanyu Kumar Jha

This figure shows the co-authorship network connecting the top 25 collaborators of Abhimanyu Kumar Jha. A scholar is included among the top collaborators of Abhimanyu Kumar Jha 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 Abhimanyu Kumar Jha. Abhimanyu Kumar Jha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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