Sanjeev Kumar Mathur

1.0k citations
19 papers · 850 · h-index 11

Impact in

Papers in

    • Tuberculosis Research and Epidemiology 4
    • Mycobacterium research and diagnosis 2
    • Pneumocystis jirovecii pneumonia detection and treatment 2

Sanjeev Kumar Mathur

17 papers receiving 829 citations

Peers

Sanjeev Kumar Mathur
Comparison fields: 5 of 104
  • Infectious Diseases 413
  • Molecular Medicine 87
  • Epidemiology 374
  • Immunology 137
  • Endocrinology 26
Replace Masaki Yamamoto with:
Masaki Yamamoto Japan
Jochen Decker Germany
Gregory S. Retzinger United States
Rodney Alexander Rosalia Netherlands
Simon J. P. Warren United States
Bhavna V. Chawla India
Mary E. Neville United States
Yuhao Deng China
Federica Marincola Cattaneo Italy
Ryo Kobayashi Japan
Sanjeev Kumar Mathur relative to Masaki Yamamoto Japan Masaki Yamamoto's profile →
Citations per field
00.5×2×2.6×
Masaki Yamamoto · 1×
Citations per year

Countries citing papers authored by Sanjeev Kumar Mathur

Since Specialization
Citations

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

Fields of papers citing papers by Sanjeev Kumar Mathur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2004420
2 2008114
3 201365
4 200446
5 200342
6 200137
7 200925
8 201624
9 200221
10 198821
11 201313
12 201310
13 20126
14 20122
15 20182
16 20231
17 20121
18 20230
19 20250

About Sanjeev Kumar Mathur

Sanjeev Kumar Mathur is a scholar working on Infectious Diseases, Epidemiology, Immunology, Radiology, Nuclear Medicine and Imaging and Organizational Behavior and Human Resource Management, having authored 19 papers that have together received 850 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (4 papers), Immunodeficiency and Autoimmune Disorders (2 papers), Mycobacterium research and diagnosis (2 papers), Pneumocystis jirovecii pneumonia detection and treatment (2 papers), Medical Imaging Techniques and Applications (2 papers), Traumatic Brain Injury and Neurovascular Disturbances (2 papers), Nanoplatforms for cancer theranostics (1 paper) and COVID-19 and Mental Health (1 paper). The work is most often cited by research in Infectious Diseases (413 citations), Molecular Medicine (87 citations), Epidemiology (374 citations), Immunology (137 citations) and Endocrinology (26 citations). Sanjeev Kumar Mathur has collaborated with scholars based in United States, India and Australia. Frequent co-authors include David R. Sherman, Mark J. Hickey, Sherilyn Smith, David M. Lewinsohn, Jeff E. Grotzke, John V. Frangioni, Fangbing Liu, Robert E. Lenkinski, Preeti G. Misra and Kumar R. Bhushan. Their work appears in journals such as Journal of Neurotrauma, The Journal of Immunology, Cellular Immunology, The Journal of Infectious Diseases and Journal of Thoracic and Cardiovascular Surgery.

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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