Deepak Kumar

849 citations
60 papers · 557 · h-index 9

Impact in

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

Papers in

Deepak Kumar

46 papers receiving 534 citations

Peers

Deepak Kumar
Comparison fields: 5 of 103
  • Epidemiology 335
  • Infectious Diseases 136
  • Modeling and Simulation 24
  • Obstetrics and Gynecology 29
  • Microbiology 25
Replace Sehee Park with:
Sehee Park South Korea
Joon‐Yong Bae South Korea
Harendra Singh Chahar United States
Weiqi Pan China
Md. Golzar Hossain Bangladesh
Xiaodan Li China
Cíntia Bittar Brazil
Sébastien Hantz France
Tiffany G. Sheu United States
Parakriti Gupta India
Deepak Kumar relative to Sehee Park South Korea Sehee Park's profile →
Citations per field
00.5×1.5×2.4×
Sehee Park · 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 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013115
2 201176
3 200676
4 200674
5 201853
6 201827
7 201721
8 201816
9 20239
10 20187
11 20217
12 20217
13 20246
14 20236
15 20245
16 20125
17 20163
18 20193
19 20213
20
Numerical Model for Glucose Metabolism for Various Types of Food and Effect of Physical Activities on Type 1 Diabetic Patient
20172

About Deepak Kumar

Deepak Kumar is a scholar working on Epidemiology, Endocrinology, Diabetes and Metabolism, Infectious Diseases, Surgery and Genetics, having authored 60 papers that have together received 557 indexed citations. Recurring topics across this work include Diabetes Management and Research (7 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Artificial Intelligence in Healthcare (4 papers), Virology and Viral Diseases (4 papers), COVID-19 epidemiological studies (3 papers), Natural Antidiabetic Agents Studies (3 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (2 papers). The work is most often cited by research in Epidemiology (335 citations), Infectious Diseases (136 citations), Modeling and Simulation (24 citations), Obstetrics and Gynecology (29 citations) and Microbiology (25 citations). Deepak Kumar has collaborated with scholars based in India, United States and Pakistan. Frequent co-authors include Diwakar D. Kulkarni, Govindarajulu Venkatesh, C. Tosh, Kuldeep Dhama, Joseph M. Mansour, John J. Moore, Jennifer M. Fox, Brian M. Mercer, Ruchi Tiwari and Shambhu Dayal Singh. Their work appears in journals such as American Journal of Obstetrics and Gynecology, Proteins Structure Function and Bioinformatics, Veterinary Medicine International, Frontiers in Immunology and Current Problems in Cardiology.

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.

Explore authors with similar magnitude of impact