Sanjeev Kumar Mathur

1.0k citations
14 papers · 825 · h-index 11

Impact in

Papers in

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

Sanjeev Kumar Mathur

14 papers receiving 809 citations

Peers

Sanjeev Kumar Mathur
Comparison fields: 5 of 101
  • Infectious Diseases 407
  • Molecular Medicine 86
  • Epidemiology 364
  • Immunology 137
  • Endocrinology 25
Replace Masaki Yamamoto with:
Masaki Yamamoto Japan
Demin Yu China
Arvind Konkimalla United States
Federica Cattaneo Italy
Alan Bénard Germany
Matthew Parker United States
Gregory S. Retzinger United States
Mary E. Neville United States
Jochen Decker Germany
Rodney Alexander Rosalia Netherlands
Sanjeev Kumar Mathur relative to Masaki Yamamoto Japan Masaki Yamamoto's profile →
Citations per field
00.5×2.9×
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

14 of 14 papers shown
#Work
1 2004415
2 2008112
3 201363
4 200446
5 200342
6 200135
7 200923
8 201622
9 200220
10 198818
11 201313
12 201310
13 20125
14 20121

About Sanjeev Kumar Mathur

Sanjeev Kumar Mathur is a scholar working on Epidemiology, Infectious Diseases, Pulmonary and Respiratory Medicine, Immunology and Strategy and Management, having authored 14 papers that have together received 825 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (4 papers), Traumatic Brain Injury and Neurovascular Disturbances (2 papers), Medical Imaging Techniques and Applications (2 papers), Pneumocystis jirovecii pneumonia detection and treatment (2 papers), Mycobacterium research and diagnosis (2 papers), Immunodeficiency and Autoimmune Disorders (2 papers), Cerebrospinal fluid and hydrocephalus (1 paper) and Radiation Therapy and Dosimetry (1 paper). The work is most often cited by research in Infectious Diseases (407 citations), Molecular Medicine (86 citations), Epidemiology (364 citations), Immunology (137 citations) and Endocrinology (25 citations). Sanjeev Kumar Mathur has collaborated with scholars based in United States. Frequent co-authors include Sherilyn Smith, David R. Sherman, Mark J. Hickey, David Lewinsohn, Jeff E. Grotzke, Kumar R. Bhushan, Fangbing Liu, Robert E. Lenkinski, Preeti Misra and John V. Frangioni. Their work appears in journals such as Journal of Neurotrauma, American Journal of Physiology-Heart and Circulatory Physiology, Journal of Thoracic and Cardiovascular Surgery, International Journal of Oncology and Molecular Microbiology.

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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