Kalidas Nandy

546 citations
20 papers · 506 · h-index 11

Impact in

Papers in

Kalidas Nandy

20 papers receiving 451 citations

Peers

Kalidas Nandy
Comparison fields: 5 of 89
  • Biological Psychiatry 35
  • Neurology 120
  • Aging 26
  • Behavioral Neuroscience 37
  • Cellular and Molecular Neuroscience 144
Replace Jeanine I.H. Keuker with:
Jeanine I.H. Keuker Germany
Shuichi Yanai Japan
Yan Ren China
Mohammed Al‐Onaizi Canada
Berta Sunyer Austria
Kiyoharu Ukai Japan
Maria M. Winnicka Poland
Deyin Lu United States
Paolo Garofalo Italy
Kalidas Nandy relative to Jeanine I.H. Keuker Germany Jeanine I.H. Keuker's profile →
Citations per field
00.5×4.3×
Jeanine I.H. Keuker · 1×
Citations per year

Countries citing papers authored by Kalidas Nandy

Since Specialization
Citations

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

Fields of papers citing papers by Kalidas Nandy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Kalidas Nandy, 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 Kalidas Nandy Line = papers co-authored together Kalidas Nandy links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 1977127
2 198374
3 197164
4 198141
5 198634
6 196526
7 198123
8 196518
9 197718
10 198214
11 198311
12 19739
13 19839
14
Geriatric dentistry : clinical application of selected biomedical and psychosocial topics
19797
15 19627
16 19817
17 19737
18 19706
19 19882
20 19732

About Kalidas Nandy

Kalidas Nandy is a scholar working on Neurology, Molecular Biology, Cellular and Molecular Neuroscience, Surgery and Endocrine and Autonomic Systems, having authored 20 papers that have together received 506 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Neuroscience and Neuropharmacology Research (4 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers), Circadian rhythm and melatonin (3 papers), Mitochondrial Function and Pathology (3 papers), Neonatal and fetal brain pathology (2 papers), Biochemical effects in animals (2 papers) and Vascular anomalies and interventions (2 papers). The work is most often cited by research in Biological Psychiatry (35 citations), Neurology (120 citations), Aging (26 citations), Behavioral Neuroscience (37 citations) and Cellular and Molecular Neuroscience (144 citations). Kalidas Nandy has collaborated with scholars based in United States and India. Frequent co-authors include Ira Sherwin, Harbans Lal, Debra A. Bennett, M. Catherine Bennett, Michael V. L. Bennett, Michael J. Forster, Daniel P. Dylewski, W. Keith O’Steen, Howard H. Chauncey and G.H. Bourne. Their work appears in journals such as Mechanisms of Ageing and Development, The Anatomical Record, Neurobiology of Aging, Life Sciences and Progress in brain research.

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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