Deepak Kumar

838 total citations
56 papers, 509 citations indexed

About

Deepak Kumar is a scholar working on Epidemiology, Endocrinology, Diabetes and Metabolism and Surgery. According to data from OpenAlex, Deepak Kumar has authored 56 papers receiving a total of 509 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Epidemiology, 14 papers in Endocrinology, Diabetes and Metabolism and 9 papers in Surgery. Recurrent topics in Deepak Kumar's work include Diabetes Management and Research (9 papers), SARS-CoV-2 and COVID-19 Research (4 papers) and Virology and Viral Diseases (4 papers). Deepak Kumar is often cited by papers focused on Diabetes Management and Research (9 papers), SARS-CoV-2 and COVID-19 Research (4 papers) and Virology and Viral Diseases (4 papers). Deepak Kumar collaborates with scholars based in India, United States and Pakistan. Deepak Kumar's co-authors include C. Tosh, Diwakar D. Kulkarni, Govindarajulu Venkatesh, Kuldeep Dhama, John J. Moore, Jennifer M. Fox, Brian M. Mercer, Joseph M. Mansour, Ruchi Tiwari and Shambhu Dayal Singh and has published in prestigious journals such as SHILAP Revista de lepidopterología, American Journal of Obstetrics and Gynecology and Frontiers in Immunology.

In The Last Decade

Deepak Kumar

44 papers receiving 489 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 India 9 323 140 116 67 55 56 509
Silvia Bianchi Italy 17 418 1.3× 260 1.9× 63 0.5× 68 1.0× 61 1.1× 91 910
Cydney N. Johnson United States 10 133 0.4× 343 2.5× 74 0.6× 28 0.4× 185 3.4× 16 745
Joon‐Yong Bae South Korea 18 291 0.9× 395 2.8× 57 0.5× 135 2.0× 209 3.8× 61 907
Véronique Nussenblatt United States 16 303 0.9× 272 1.9× 151 1.3× 41 0.6× 64 1.2× 29 719
A. Turner United Kingdom 13 161 0.5× 170 1.2× 86 0.7× 43 0.6× 65 1.2× 23 577
Sehee Park South Korea 15 297 0.9× 349 2.5× 33 0.3× 132 2.0× 201 3.7× 39 897
N. Regina Rabinovich United States 12 166 0.5× 215 1.5× 235 2.0× 61 0.9× 69 1.3× 24 656
Bi-Hung Peng United States 15 207 0.6× 743 5.3× 63 0.5× 164 2.4× 171 3.1× 20 1.1k
Agostina Pietrantoni Italy 16 204 0.6× 302 2.2× 39 0.3× 72 1.1× 210 3.8× 26 774

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.
Kumar, Deepak, et al.. (2025). Post Covid rhino - Orbital cerebral mucormycosis among Indian patients. Bioinformation. 21(5). 1290–1294.
2.
Panwar, Vivek, Saroj Kumar, Praveen P. Singh, et al.. (2024). Discovery, lead identification and exploration of potential oxadiazole derivatives in targeting STAT3 as anti-cancer agents. In Silico Pharmacology. 12(2). 83–83. 4 indexed citations
3.
Kumar, Deepak, et al.. (2023). SLAM (CD150) receptor homologous peptides block the peste des petits ruminants virus entry into B95a cells. Proteins Structure Function and Bioinformatics. 92(3). 356–369. 2 indexed citations
4.
Kumar, Deepak, et al.. (2023). Infarction of Spleen as a Rare Complication of Drug-resistant Enteric Fever in a Child: A Case Report. SHILAP Revista de lepidopterología. 5(1). 30–32.
5.
Kumar, Deepak, et al.. (2023). Deep Learning Framework for Analysis of Health Factors in Internet-of-Medical Things. Radioelectronics and Communications Systems. 66(3). 146–154. 1 indexed citations
6.
Kumar, Deepak, et al.. (2023). A Comprehensive Review on Analytical Method Development using RP-HPLC and Recent Advances in Pharmaceutical Applications. Journal for Research in Applied Sciences and Biotechnology. 2(2). 53–60. 9 indexed citations
7.
8.
9.
Prakash, Satya, et al.. (2023). Genetic Variability, Heritability and Genetic Advance for Yield and Yield Contributing Characters in Bitter Gourd (Momordica charantia L.) Genotypes. International Journal of Environment and Climate Change. 13(9). 1867–1875. 1 indexed citations
10.
Kumar, Deepak, et al.. (2021). Comparison of Testosterone Levels in Patients With and Without Type 2 Diabetes. Cureus. 13(7). e16288–e16288. 5 indexed citations
11.
Kumar, Deepak, et al.. (2019). Research of Fake News Spreading Through Whatsapp. International Journal of Innovative Technology and Exploring Engineering. 8(6S4). 948–951. 4 indexed citations
12.
Kumar, Deepak, et al.. (2018). Mild Cognitive Impairment in Young Type 1 Diabetes Mellitus Patients and Correlation with Diabetes Control, Lipid Profile, and High-sensitivity C-reactive Protein. Indian Journal of Endocrinology and Metabolism. 22(6). 780–784. 6 indexed citations
13.
Mariappan, Asok Kumar, M. Palanivelu, R. Barathidasan, et al.. (2018). Cytological and immunocytological detection and differentiation of Marek’s disease and lymphoid leucosis in poultry. VirusDisease. 29(3). 349–354. 2 indexed citations
14.
Gupta, Richa & Deepak Kumar. (2017). Numerical Model for Glucose Metabolism for Various Types of Food and Effect of Physical Activities on Type 1 Diabetic Patient. Applied mathematics/Applied Mathematics. A Journal of Chinese Universities/Gao-xiao yingyong shuxue xuebao. 7(2). 19–22. 2 indexed citations
15.
Kumar, Deepak, et al.. (2016). Model of gestational diabetes — Impact on placental volume and fetus weight. International Conference on Computing for Sustainable Global Development. 1815–1819. 1 indexed citations
16.
Sandhya, Sandhya & Deepak Kumar. (2016). Modeling for diabetes detection with the help of epinephrine behavior. International Conference on Computing for Sustainable Global Development. 1842–1845. 2 indexed citations
17.
Kumar, Deepak, et al.. (2016). Mathematical analysis on bronchitis infection. International Conference on Computing for Sustainable Global Development. 1861–1864.
18.
Kumar, Deepak, et al.. (2012). Role of Indian government to protect the environment sustainability - An overview. International Conference on Bioinformatics. 2(8). 125–137. 1 indexed citations
19.
Kumar, Deepak, et al.. (2011). Infectious bursal disease virus mobilizes the apoptotic machinery to invade chicken embryo fibroblasts. Indian Journal of Veterinary Pathology. 35(1). 91–94. 1 indexed citations
20.
Kumar, Deepak, et al.. (2011). Mathematical model of homogenious tumour growth with delay in time. 4(5). 201–207.

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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