Sunil Kumar

4.1k citations
101 papers · 1.8k · h-index 22

Impact in

    • Diabetes Management and Research
    • Diabetes Treatment and Management
  • Surgery top 5%
    • Infectious Diseases and Tuberculosis
    • Pancreatic function and diabetes
    • Orthopedic Infections and Treatments

Papers in

Sunil Kumar

94 papers receiving 1.7k citations

Peers

Sunil Kumar
Comparison fields: 5 of 102
  • Endocrinology, Diabetes and Metabolism 379
  • Surgery 629
  • Infectious Diseases 237
  • Microbiology 75
  • Genetics 312
Replace Thomas J. Van Winkle with:
Thomas J. Van Winkle United States
J. Catharine Scott‐Moncrieff United States
P J Kelly Australia
Jean‐Jacques Dubost France
Nasser Kamalian Iran
Juan José Vázquez Spain
Edwin G. Fischer United States
Peter Soothill United Kingdom
David Bernstein United States
M. E. Herrtage United Kingdom
Sunil Kumar relative to Thomas J. Van Winkle United States Thomas J. Van Winkle's profile →
Citations per field
00.5×4.5×
Thomas J. Van Winkle · 1×
Citations per year

Countries citing papers authored by Sunil Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Sunil Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 101 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011369
2 199789
3 199486
4 201174
5 200772
6 201557
7 199645
8 202041
9 201639
10 202137
11 201237
12 201035
13 200931
14 200427
15 201527
16 199626
17 201926
18 201224
19 201124
20 201823

About Sunil Kumar

Sunil Kumar is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Pulmonary and Respiratory Medicine, Epidemiology and Radiology, Nuclear Medicine and Imaging, having authored 101 papers that have together received 1.8k indexed citations. Recurring topics across this work include Infectious Diseases and Tuberculosis (10 papers), Advanced MRI Techniques and Applications (9 papers), Diabetes Treatment and Management (8 papers), Congenital Heart Disease Studies (7 papers), Vasculitis and related conditions (7 papers), Diabetes Management and Research (7 papers), Cerebral Venous Sinus Thrombosis (5 papers) and Diabetes and associated disorders (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (379 citations), Surgery (629 citations), Infectious Diseases (237 citations), Microbiology (75 citations) and Genetics (312 citations). Sunil Kumar has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Rakesh K. Gupta, U. K. Misra, Jayantee Kalita, R. B. Gujral, Neetu Soni, Sanjay Gupta, Kevan C. Herold, Scott Koenig, Ezio Bonvini and William Hagopian. Their work appears in journals such as Neuroradiology, Clinical Radiology, Diabetes Therapy, European Radiology and Journal of Magnetic Resonance Imaging.

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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