Anjali Kumar

1.9k citations
31 papers · 1.5k · h-index 19

Impact in

Papers in

Anjali Kumar

29 papers receiving 1.5k citations

Peers

Anjali Kumar
Comparison fields: 5 of 93
  • Immunology and Allergy 257
  • Internal Medicine 136
  • Hematology 228
  • Endocrinology, Diabetes and Metabolism 224
  • Cardiology and Cardiovascular Medicine 286
Replace Margitta Elvers with:
Margitta Elvers Germany
Takeo Abumiya Japan
Israel Fernández‐Cadenas Spain
Barbara L. Storer United States
Christopher F. Toombs United States
Joanne Bruno United States
Enming J. Su United States
Risa Korenaga Japan
Hagen Thieme Germany
Anjali Kumar relative to Margitta Elvers Germany Margitta Elvers's profile →
Citations per field
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Citations per year

Countries citing papers authored by Anjali Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Anjali Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997432
2 2003180
3 1997143
4 2006105
5 199998
6 200985
7 200172
8 201147
9 200839
10 201534
11 201333
12 200532
13 200231
14 201231
15 201728
16 201427
17 201624
18 201321
19 202019
20 201317

About Anjali Kumar

Anjali Kumar is a scholar working on Endocrinology, Diabetes and Metabolism, Radiology, Nuclear Medicine and Imaging, Surgery, Neurology and Immunology and Allergy, having authored 31 papers that have together received 1.5k indexed citations. Recurring topics across this work include Diabetes Management and Research (14 papers), Advanced MRI Techniques and Applications (7 papers), Cell Adhesion Molecules Research (6 papers), Neurological disorders and treatments (6 papers), Heart Rate Variability and Autonomic Control (4 papers), Neuroscience and Neuropharmacology Research (4 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (3 papers) and Diabetes Treatment and Management (3 papers). The work is most often cited by research in Immunology and Allergy (257 citations), Internal Medicine (136 citations), Hematology (228 citations), Endocrinology, Diabetes and Metabolism (224 citations) and Cardiology and Cardiovascular Medicine (286 citations). Anjali Kumar has collaborated with scholars based in United States, Italy and Finland. Frequent co-authors include Volkhard Lindner, Elizabeth R. Seaquist, Robert G. Schaub, Gülin Öz, Lynn E. Eberly, Amir Moheet, Ronald J. Shebuski, Jennifer L. Hoover, Carol A. Simmons and J. Rao. Their work appears in journals such as Diabetes, Journal of Cerebral Blood Flow & Metabolism, Circulation, American Journal of Physiology-Endocrinology and Metabolism and Neuroradiology.

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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