Prem K.G. Chandran

1.0k citations
29 papers · 785 indexed · h-index 12
Topics
Pain Mechanisms and Treatments (4 papers)Dialysis and Renal Disease Management (3 papers)Cannabis and Cannabinoid Research (3 papers)

In The Last Decade

Prem K.G. Chandran

29 papers receiving 761 citations

Peers

Prem K.G. Chandran
Comparison fields: 5 of 86
  • Physiology 318
  • Pharmacology 235
  • Cellular and Molecular Neuroscience 220
  • Sensory Systems 183
  • Molecular Biology 171
Replace William R. Ford with:
William R. Ford United Kingdom
Ciaran Brady United Kingdom
Erzsébet Lizanecz Hungary
Rita Benkő Hungary
Krisztina Pohóczky Hungary
Krisztián Elekes Hungary
Maryam Zahmatkesh Iran
Nathalie Niederhoffer France
Noboru Hatakeyama Japan
Isabella Bettoni Italy
Prem K.G. Chandran relative to William R. Ford United Kingdom William R. Ford's profile →
Citations per field
00.5×4.9×
William R. Ford · 1×
Citations per year

Countries citing papers authored by Prem K.G. Chandran

Since Specialization
Citations

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

Fields of papers citing papers by Prem K.G. Chandran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Prem K.G. Chandran. 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 Prem K.G. Chandran. The network helps show where Prem K.G. Chandran may publish in the future.

Co-authorship network of co-authors of Prem K.G. Chandran

This figure shows the co-authorship network connecting the top 25 collaborators of Prem K.G. Chandran. A scholar is included among the top collaborators of Prem K.G. Chandran based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Prem K.G. Chandran. Prem K.G. Chandran is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 11
3 52
4 11
5 19
6 10
7 124
8 77
9 82
10 252
11 4
12 6
13 8
14
Coexistent anti-neutrophil cytoplasmic antibody and antiglomerular basement membrane antibody associated disease = report of six cases.
26
15
Residual peritoneal volumes by CT scanning in CAPD patients.
1
16 1
17 14
18 11
19 5
20 2

About Prem K.G. Chandran

Prem K.G. Chandran is a scholar working on Nephrology, Sensory Systems and Biological Psychiatry, having authored 29 papers that have together received 785 indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (4 papers), Dialysis and Renal Disease Management (3 papers) and Cannabis and Cannabinoid Research (3 papers). The work is most often cited by research in Sensory Systems (183 citations), Toxicology (54 citations) and Pharmacology (235 citations). Prem K.G. Chandran has collaborated with scholars based in United States, United Kingdom and United Arab Emirates. Frequent co-authors include Prisca Honoré, Chengmin Zhong, Gricelda Hernandez, Donna M. Gauvin, Anita K. Salyers, Arthur Gomtsyan, Joseph P. Mikusa, C.Z. Zhu, Kennan C. Marsh and Madhavi Pai. Their work appears in journals such as Journal of Neuroscience, Neurology and Kidney International.

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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