Dhruv Kumar

174 papers receiving 4.5k citations

Dhruv Kumar's Hit Papers

Antioxidants in Alzheimer’s Disease: Current Therapeutic Significance and Future Prospects 2022 · 122 citations
1220+2+4Years since publication100200300400

Peers

Dhruv Kumar
Comparison fields: 5 of 166
  • Cancer Research 512
  • Molecular Biology 1.6k
  • Oncology 561
  • Biomaterials 291
  • Pathology and Forensic Medicine 336
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Citations per year

Countries citing papers authored by Dhruv Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Dhruv Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 192 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Oxidative Stress in Cancer Cell Metabolism
Hit paper breakdown →
2021470
2
Specific targeting cancer cells with nanoparticles and drug delivery in cancer therapy
Hit paper breakdown →
2019340
3 2013187
4 2012181
5
Liposomes complexed to plasmids encoding angiostatin and endostatin inhibit breast cancer in nude mice.
1999152
6 2014138
7
Antioxidants in Alzheimer’s Disease: Current Therapeutic Significance and Future Prospects
Hit paper breakdown →
2022122
8 2013119
9 2022117
10 2021113
11 2020113
12 2012108
13 1997106
14 201391
15 202186
16 199377
17 201458
18 202155
19 199955
20
In silico identification of potent FDA approved drugs against Coronavirus COVID-19 main protease: A drug repurposing approach
202055

About Dhruv Kumar

Dhruv Kumar is a scholar working on Molecular Biology, Oncology, Pathology and Forensic Medicine, Plant Science and Cancer Research, having authored 192 papers that have together received 4.6k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (15 papers), Cancer, Hypoxia, and Metabolism (11 papers), Potato Plant Research (9 papers), Heavy Metal Exposure and Toxicity (9 papers), SARS-CoV-2 and COVID-19 Research (9 papers), Arsenic contamination and mitigation (8 papers), RNA modifications and cancer (7 papers) and Sarcoma Diagnosis and Treatment (6 papers). The work is most often cited by research in Cancer Research (512 citations), Molecular Biology (1.6k citations), Oncology (561 citations), Biomaterials (291 citations) and Pathology and Forensic Medicine (336 citations). Dhruv Kumar has collaborated with scholars based in India, United States and Finland. Frequent co-authors include Sharmila Shankar, Rakesh K. Srivastava, Kavindra Kumar Kesari, Janne Ruokolainen, Niraj Kumar Jha, Brijesh Rathi, Saurabh Kumar Jha, Shubhadeep Roychoudhury, Sibi Raj and Saniya Arfin. Their work appears in journals such as Journal of Biomolecular Structure and Dynamics, Life Sciences, Advances in experimental medicine and biology, The American Journal of Surgical Pathology and Biological Trace Element Research.

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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