Deepak Kumar

849 citations
56 papers · 514 · h-index 9

Impact in

  • Epidemiology top 10%
    • Virology and Viral Diseases
    • Preterm Birth and Chorioamnionitis
    • Mycobacterium research and diagnosis
    • Viral Infections and Vectors
    • Tuberculosis Research and Epidemiology
    • SARS-CoV-2 and COVID-19 Research

Papers in

Deepak Kumar

44 papers receiving 494 citations

Peers

Deepak Kumar
Comparison fields: 5 of 102
  • Epidemiology 313
  • Infectious Diseases 128
  • Modeling and Simulation 20
  • Microbiology 22
  • Virology 16
Replace Joon‐Yong Bae with:
Joon‐Yong Bae South Korea
Sehee Park South Korea
Cíntia Bittar Brazil
Yoshitaka Shimotai Japan
Weiqi Pan China
Xiaodan Li China
Harendra Singh Chahar United States
Natalie M. Kirk United States
Thomas Julien France
Sébastien Hantz France
Deepak Kumar relative to Joon‐Yong Bae South Korea Joon‐Yong Bae's profile →
Citations per field
00.5×1.5×2.3×
Joon‐Yong Bae · 1×
Citations per year

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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013109
2 200672
3 201171
4 200667
5 201849
6 201827
7 201718
8 201812
9 20239
10 20187
11 20217
12 20217
13 20246
14 20236
15 20245
16 20193
17 20213
18
Numerical Model for Glucose Metabolism for Various Types of Food and Effect of Physical Activities on Type 1 Diabetic Patient
20172
19 20232
20 20232

About Deepak Kumar

Deepak Kumar is a scholar working on Epidemiology, Endocrinology, Diabetes and Metabolism, Infectious Diseases, Surgery and Genetics, having authored 56 papers that have together received 514 indexed citations. Recurring topics across this work include Diabetes Management and Research (7 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Artificial Intelligence in Healthcare (4 papers), Virology and Viral Diseases (4 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Herpesvirus Infections and Treatments (2 papers), Mycobacterium research and diagnosis (2 papers) and Advances in Cucurbitaceae Research (2 papers). The work is most often cited by research in Epidemiology (313 citations), Infectious Diseases (128 citations), Modeling and Simulation (20 citations), Microbiology (22 citations) and Virology (16 citations). Deepak Kumar has collaborated with scholars based in India, United States and Pakistan. Frequent co-authors include Govindarajulu Venkatesh, C. Tosh, Diwakar D. Kulkarni, Kuldeep Dhama, Jennifer M. Fox, Joseph M. Mansour, John J. Moore, Brian M. Mercer, Ruchi Tiwari and Mahesh Mahendran. Their work appears in journals such as Frontiers in Immunology, Current Problems in Cardiology, American Journal of Obstetrics and Gynecology, Proteins Structure Function and Bioinformatics and Veterinary Medicine International.

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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