Sanjeev Kumar Mathur

14 papers receiving 799 citations

Peers

Sanjeev Kumar Mathur
Comparison fields: 5 of 104
  • Infectious Diseases 413
  • Molecular Medicine 85
  • Epidemiology 398
  • Immunology 147
  • Endocrinology 25
Replace Federica Cattaneo with:
Federica Cattaneo Italy
Matthew Parker United States
Alan Bénard Germany
Monica L. Zepeda United States
Russell B. Wilson United States
Raja Narayanan India
Jochen Decker Germany
Bhavna Chawla India
Sang-Jin Lee South Korea
Sean Burke United States
Sanjeev Kumar Mathur relative to Federica Cattaneo Italy Federica Cattaneo's profile →
Citations per field
00.5×3.8×
Federica Cattaneo · 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

14 of 14 papers shown
#Work
1 2004409
2 2008112
3 201362
4 200446
5 200342
6 200134
7 200923
8 201622
9 200219
10 198817
11 201313
12 201310
13 20125
14 20121

About Sanjeev Kumar Mathur

Sanjeev Kumar Mathur is a scholar working on Infectious Diseases, Applied Psychology, Genetics, Urban Studies and Information Systems and Management, having authored 14 papers that have together received 815 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (4 papers), Medical Imaging Techniques and Applications (2 papers), Pneumocystis jirovecii pneumonia detection and treatment (2 papers), Immunodeficiency and Autoimmune Disorders (2 papers), Mycobacterium research and diagnosis (2 papers), Vascular Anomalies and Treatments (2 papers), Traumatic Brain Injury and Neurovascular Disturbances (2 papers) and Social Sciences and Governance (1 paper). The work is most often cited by research in Infectious Diseases (413 citations), Molecular Medicine (85 citations), Epidemiology (398 citations), Immunology (147 citations) and Endocrinology (25 citations). Sanjeev Kumar Mathur has collaborated with scholars based in United States. Frequent co-authors include David R. Sherman, Mark J. Hickey, Sherilyn Smith, David Lewinsohn, Jeff E. Grotzke, Kumar R. Bhushan, John V. Frangioni, Robert E. Lenkinski, Fangbing Liu and Preeti Misra. Their work appears in journals such as Journal of Neurotrauma, Molecular Microbiology, The Journal of Immunology, Journal of Thoracic and Cardiovascular Surgery and Journal of the Academy of Marketing Science.

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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