Anjali Kumar

2.0k citations
31 papers · 1.6k · h-index 19

Impact in

Papers in

Anjali Kumar

29 papers receiving 1.6k citations

Peers

Anjali Kumar
Comparison fields: 5 of 90
  • Immunology and Allergy 206
  • Internal Medicine 114
  • Hematology 187
  • Endocrinology, Diabetes and Metabolism 214
  • Cancer Research 133
Replace Mauro Torti with:
Mauro Torti Italy
Takeo Abumiya Japan
Margitta Elvers Germany
Barbara L. Storer United States
Christopher F. Toombs United States
Hagen Thieme Germany
Enming J. Su United States
Israel Fernández‐Cadenas Spain
Risa Korenaga Japan
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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 1997443
2 2003190
3 1997146
4 2006115
5 1999105
6 200994
7 200172
8 201150
9 200847
10 201540
11 201334
12 200533
13 201232
14 200231
15 201430
16 201629
17 201729
18 201322
19 202019
20 201318

About Anjali Kumar

Anjali Kumar is a scholar working on Endocrinology, Diabetes and Metabolism, Radiology, Nuclear Medicine and Imaging, Neurology, Surgery and Cellular and Molecular Neuroscience, having authored 31 papers that have together received 1.6k indexed citations. Recurring topics across this work include Diabetes Management and Research (12 papers), Advanced MRI Techniques and Applications (5 papers), Neurological disorders and treatments (4 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (2 papers), Diabetes and associated disorders (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Epilepsy research and treatment (2 papers) and Heart Rate Variability and Autonomic Control (2 papers). The work is most often cited by research in Immunology and Allergy (206 citations), Internal Medicine (114 citations), Hematology (187 citations), Endocrinology, Diabetes and Metabolism (214 citations) and Cancer Research (133 citations). Anjali Kumar has collaborated with scholars based in United States, Italy and India. Frequent co-authors include Volkhard Lindner, Elizabeth R. Seaquist, Robert G. Schaub, Gülin Öz, Lynn E. Eberly, Amir Moheet, Ronald J. Shebuski, Carol A. Simmons, Jennifer L. Hoover 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 Thrombosis and Haemostasis.

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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