Deepak Kumar

3.7k total citations
109 papers, 2.6k citations indexed

About

Deepak Kumar is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Deepak Kumar has authored 109 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Molecular Biology, 38 papers in Cancer Research and 14 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Deepak Kumar's work include MicroRNA in disease regulation (20 papers), Cancer-related molecular mechanisms research (19 papers) and Circular RNAs in diseases (19 papers). Deepak Kumar is often cited by papers focused on MicroRNA in disease regulation (20 papers), Cancer-related molecular mechanisms research (19 papers) and Circular RNAs in diseases (19 papers). Deepak Kumar collaborates with scholars based in United States, India and China. Deepak Kumar's co-authors include Usha N. Kasid, Suryakant Niture, Mukesh Verma, Subhash C. Chauhan, John T. Moore, Malathi Ramalinga, Theresa L. Whiteside, Meena Jaggi, Simeng Suy and Sean P. Collins and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and PLoS ONE.

In The Last Decade

Deepak Kumar

102 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Deepak Kumar United States 31 1.6k 1.0k 342 327 314 109 2.6k
Dan Cao China 29 1.9k 1.2× 1.2k 1.2× 880 2.6× 327 1.0× 385 1.2× 165 3.5k
Dandan Yu China 32 1.8k 1.1× 1.2k 1.2× 780 2.3× 393 1.2× 403 1.3× 169 3.2k
Yunfeng Fu China 27 1.2k 0.7× 774 0.8× 281 0.8× 264 0.8× 318 1.0× 102 2.2k
Denise Scholtens United States 35 1.2k 0.7× 598 0.6× 510 1.5× 171 0.5× 178 0.6× 137 3.2k
Xiaofeng Xu China 29 1.3k 0.8× 754 0.7× 331 1.0× 380 1.2× 166 0.5× 153 2.6k
Paraskevi A. Farazi United States 15 1.3k 0.8× 589 0.6× 720 2.1× 175 0.5× 587 1.9× 47 2.6k
Guoying Zhang China 25 910 0.6× 517 0.5× 259 0.8× 273 0.8× 186 0.6× 87 2.2k
Dov Shiffman United States 33 996 0.6× 452 0.4× 335 1.0× 333 1.0× 353 1.1× 70 3.1k
Soodabeh Shahidsales Iran 28 1.5k 0.9× 949 0.9× 677 2.0× 195 0.6× 192 0.6× 91 2.5k
Fengju Song China 30 1.4k 0.8× 902 0.9× 778 2.3× 151 0.5× 243 0.8× 100 2.9k

Countries citing papers authored by Deepak Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Deepak Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deepak Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Deepak Kumar. A scholar is included among the top collaborators of Deepak 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 Deepak Kumar. Deepak 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.
2.
Kumar, Deepak, et al.. (2024). Drug response-based precision therapeutic selection for tamoxifen-resistant triple-positive breast cancer. Journal of Proteomics. 310. 105319–105319. 2 indexed citations
3.
Zwart, Alan, Deepak Kumar, Paul Leger, et al.. (2024). The impact of neoadjuvant relugolix on multi-dimensional patient-reported fatigue. Frontiers in Oncology. 14. 1412786–1412786.
4.
Xiao, Jerry, Alan Zwart, Thomas Yung, et al.. (2023). Early biochemical outcomes following neoadjuvant/adjuvant relugolix with stereotactic body radiation therapy for intermediate to high risk prostate cancer. Frontiers in Oncology. 13. 1289249–1289249. 1 indexed citations
5.
Niture, Suryakant, Qi Qi, Leslimar Ríos-Colón, et al.. (2023). Cyanotoxins Increase Cytotoxicity and Promote Nonalcoholic Fatty Liver Disease Progression by Enhancing Cell Steatosis. Toxins. 15(7). 411–411. 10 indexed citations
6.
Strekalova, Yulia A., et al.. (2023). Strategic Team Science Promotes Collaboration and Practice-Based Research at the Research Centers in Minority Institutions. International Journal of Environmental Research and Public Health. 20(6). 4800–4800. 1 indexed citations
7.
Sholklapper, Tamir, Siyuan Lei, Abdul Rashid, et al.. (2023). Intensity modulated radiation therapy with stereotactic body radiation therapy boost for unfavorable prostate cancer: five-year outcomes. Frontiers in Oncology. 13. 1240939–1240939. 1 indexed citations
8.
Souza, Marilesia Ferreira de, et al.. (2022). MiR-182-5p Modulates Prostate Cancer Aggressive Phenotypes by Targeting EMT Associated Pathways. Biomolecules. 12(2). 187–187. 16 indexed citations
9.
Jhala, Arnav, Yang Cheng, Jean Goodwin, et al.. (2022). A Digital Communication Twin for Addressing Misinformation: Vision, Challenges, Opportunities. IEEE Internet Computing. 26(2). 36–41. 1 indexed citations
10.
Niture, Suryakant, Minghui Lin, John T. Moore, et al.. (2021). Role of Autophagy in Cadmium-Induced Hepatotoxicity and Liver Diseases. Journal of Toxicology. 2021. 1–14. 49 indexed citations
11.
Hedges, Jerris R., Karam F. A. Soliman, William M. Southerland, et al.. (2021). Strengthening and Sustaining Inter-Institutional Research Collaborations and Partnerships. International Journal of Environmental Research and Public Health. 18(5). 2727–2727. 12 indexed citations
12.
Doherty, Irene A., et al.. (2021). COVID-19 vaccine hesitancy in underserved communities of North Carolina. PLoS ONE. 16(11). e0248542–e0248542. 73 indexed citations
13.
Varghese, Rency S., Sidharth Jain, Yi‐Fan Chen, et al.. (2021). Integrative Analysis of DNA Methylation and microRNA Expression Reveals Mechanisms of Racial Heterogeneity in Hepatocellular Carcinoma. Frontiers in Genetics. 12. 708326–708326. 14 indexed citations
14.
Kumar, Deepak, et al.. (2020). Public Health Departments Face Formidable Issues During COVID-19 Pandemic. Calhoun: The Naval Postgraduate School Institutional Archive (Naval Postgraduate School). 1 indexed citations
15.
Aghdam, Nima, Siyuan Lei, Thomas Yung, et al.. (2020). Stereotactic Body Radiation Therapy (SBRT) for Prostate Cancer in Men With a High Baseline International Prostate Symptom Score (IPSS ≥ 15). Frontiers in Oncology. 10. 1060–1060. 9 indexed citations
16.
Niture, Suryakant, Minghui Lin, John T. Moore, et al.. (2020). TNFAIP8 drives metabolic reprogramming to promote prostate cancer cell proliferation. The International Journal of Biochemistry & Cell Biology. 130. 105885–105885. 9 indexed citations
17.
Aghdam, Nima, Colin Johnson, Thomas Yung, et al.. (2020). Self-Reported Burden in Elderly Patients With Localized Prostate Cancer Treated With Stereotactic Body Radiation Therapy (SBRT). Frontiers in Oncology. 9. 1528–1528. 4 indexed citations
18.
Maimouni, Sara, et al.. (2018). Tumor suppressor RARRES1- A novel regulator of fatty acid metabolism in epithelial cells. PLoS ONE. 13(12). e0208756–e0208756. 24 indexed citations
19.
Liang, Lily, et al.. (2009). Identifying significant genes with FM/CM-GA. 236–240.
20.
Patacsil, Dorrelyn, et al.. (2007). Vitamin E succinate induces apoptosis in pancreatic cancer cells. Cancer Research. 67. 19–19. 3 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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