Dhruv Kumar

208 papers receiving 4.8k citations

Dhruv Kumar's Hit Papers

Antioxidants in Alzheimer’s Disease: Current Therapeutic Significance and Future Prospects 2022 · 130 citations
1300+2+4Years since publication100200300400

Peers

Dhruv Kumar
Comparison fields: 5 of 167
  • Cancer Research 541
  • Molecular Biology 1.7k
  • Oncology 607
  • Biomaterials 315
  • Pathology and Forensic Medicine 358
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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 227 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Oxidative Stress in Cancer Cell Metabolism
Hit paper breakdown →
2021482
2
Specific targeting cancer cells with nanoparticles and drug delivery in cancer therapy
Hit paper breakdown →
2019351
3 2013190
4 2012189
5
Liposomes complexed to plasmids encoding angiostatin and endostatin inhibit breast cancer in nude mice.
1999162
6 2014143
7
Antioxidants in Alzheimer’s Disease: Current Therapeutic Significance and Future Prospects
Hit paper breakdown →
2022130
8 2021126
9 2012123
10 2013122
11 2022117
12 2020115
13 1997110
14 201393
15 202189
16 199384
17 199962
18 200660
19 201459
20
In silico identification of potent FDA approved drugs against Coronavirus COVID-19 main protease: A drug repurposing approach
202058

About Dhruv Kumar

Dhruv Kumar is a scholar working on Molecular Biology, Cancer Research, Oncology, Plant Science and Pathology and Forensic Medicine, having authored 227 papers that have together received 4.9k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (21 papers), Computational Drug Discovery Methods (16 papers), Heavy Metal Exposure and Toxicity (13 papers), Arsenic contamination and mitigation (10 papers), Potato Plant Research (9 papers), SARS-CoV-2 and COVID-19 Research (9 papers), Metabolism, Diabetes, and Cancer (8 papers) and Epigenetics and DNA Methylation (8 papers). The work is most often cited by research in Cancer Research (541 citations), Molecular Biology (1.7k citations), Oncology (607 citations), Biomaterials (315 citations) and Pathology and Forensic Medicine (358 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, Sibi Raj, Shubhadeep Roychoudhury and Saniya Arfin. Their work appears in journals such as Journal of Biomolecular Structure and Dynamics, Advances in experimental medicine and biology, Life Sciences, 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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