Satish Kumar

545 citations
36 papers · 393 · h-index 14

Impact in

Papers in

    • Tuberculosis Research and Epidemiology 12
    • Mycobacterium research and diagnosis 6
    • Cervical Cancer and HPV Research 4
    • Hepatitis B Virus Studies 3

Satish Kumar

32 papers receiving 368 citations

Peers

Satish Kumar
Comparison fields: 5 of 76
  • Infectious Diseases 180
  • Epidemiology 131
  • Virology 11
  • Computational Theory and Mathematics 39
  • Molecular Medicine 9
Replace Sang-Nae Cho with:
Sang-Nae Cho South Korea
Vijay Nema India
Temi Lampejo United Kingdom
P Olliaro Italy
Anna Maria Perna Italy
Dongxing Guo China
Mumin Ozturk South Africa
Isabelle Borghini-Fuhrer Switzerland
Chivonne Moodley United States
Satish Kumar relative to Sang-Nae Cho South Korea Sang-Nae Cho's profile →
Citations per field
00.5×3.7×
Sang-Nae Cho · 1×
Citations per year

Countries citing papers authored by Satish Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Satish Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201654
2 201447
3 201424
4 201520
5 200319
6 201418
7 200618
8 201517
9
IgG subclass antibody response to mycobacterial serine protease at different stages of pulmonary tuberculosis.
200517
10 200316
11 201314
12 200114
13 201513
14 201113
15 200312
16 201910
17 20059
18 20199
19 20067
20 20137

About Satish Kumar

Satish Kumar is a scholar working on Infectious Diseases, Epidemiology, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Computational Theory and Mathematics, having authored 36 papers that have together received 393 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (12 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Mycobacterium research and diagnosis (6 papers), vaccines and immunoinformatics approaches (5 papers), Cervical Cancer and HPV Research (4 papers), Computational Drug Discovery Methods (4 papers), Hepatitis B Virus Studies (3 papers) and Infectious Diseases and Tuberculosis (3 papers). The work is most often cited by research in Infectious Diseases (180 citations), Epidemiology (131 citations), Virology (11 citations), Computational Theory and Mathematics (39 citations) and Molecular Medicine (9 citations). Satish Kumar has collaborated with scholars based in India, United States and New Zealand. Frequent co-authors include Lingaraja Jena, B. C. Harinath, Maheswata Sahoo, Ashok K. Varma, Sonika Gupta, Swati Banerjee, Ashok Kumar Sharma, M. V. R. Reddy, Vijay Jagdish Upadhye and R. Gupta. Their work appears in journals such as Diagnostic Microbiology and Infectious Disease, Journal of Biomolecular Structure and Dynamics, Cell Biochemistry and Biophysics, American Journal of Hematology and Scientific Data.

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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