Ujendra Kumar

67 papers receiving 2.6k citations

Peers

Ujendra Kumar
Comparison fields: 5 of 115
  • Aging 97
  • Endocrine and Autonomic Systems 209
  • Physiology 754
  • Endocrinology, Diabetes and Metabolism 472
  • Cellular and Molecular Neuroscience 434
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Weikang Cai United States
Johannes Backs Germany
Pasi Tavi Finland
Christopher W. Ward United States
Olivier Schakman Belgium
Elin Lehrmann United States
Masafumi Ito Japan
Marco Mongillo Italy
Hiroyuki Higashiyama Japan
Flávia Carvalho Alcântara Gomes Brazil
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Citations per field
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Citations per year

Countries citing papers authored by Ujendra Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Ujendra Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999253
2 2004186
3 2001149
4 1999144
5 1997111
6 2017102
7 2006100
8 200796
9 200195
10 201291
11 201074
12 199465
13 200159
14 201353
15 200849
16 200946
17 201845
18 201142
19 199240
20 201638

About Ujendra Kumar

Ujendra Kumar is a scholar working on Molecular Biology, Physiology, Cellular and Molecular Neuroscience, Epidemiology and Endocrinology, Diabetes and Metabolism, having authored 68 papers that have together received 2.7k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (10 papers), Neuroscience and Neuropharmacology Research (9 papers), Neuroendocrine Tumor Research Advances (9 papers), Pain Mechanisms and Treatments (8 papers), Pituitary Gland Disorders and Treatments (6 papers), Pancreatic function and diabetes (6 papers), Cellular transport and secretion (5 papers) and Alzheimer's disease research and treatments (5 papers). The work is most often cited by research in Aging (97 citations), Endocrine and Autonomic Systems (209 citations), Physiology (754 citations), Endocrinology, Diabetes and Metabolism (472 citations) and Cellular and Molecular Neuroscience (434 citations). Ujendra Kumar has collaborated with scholars based in Canada, United States and Denmark. Frequent co-authors include R.K. Somvanshi, Yogesh Patel, Shutish C. Patel, Brian E. Cairns, S. C. Patel, Ramakrishnan Sasi, Xudong Dong, Lars Arendt‐Nielsen, Muthusamy Thangaraju and Akash R. Patel. Their work appears in journals such as Neuroscience, Biochimica et Biophysica Acta (BBA) - Molecular Cell Research, Endocrinology, Pain and Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease.

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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