Gajanan Nilaver

5.0k citations
81 papers · 4.2k indexed · h-index 31

Impact in

Papers in

Gajanan Nilaver

80 papers receiving 4.0k citations

Peers

Gajanan Nilaver
Comparison fields: 5 of 114
  • Behavioral Neuroscience 409
  • Endocrine and Autonomic Systems 768
  • Cellular and Molecular Neuroscience 2.0k
  • Developmental Neuroscience 402
  • Neurology 445
Replace D.T. Theodosis with:
D.T. Theodosis France
Hitoshi Kawano Japan
Y. Sano Japan
Donna M. Simmons United States
Bertrand Bloch France
John F. Morris United Kingdom
Å. Ljungdahl Sweden
Catherine Verney France
Michael G. Kaplitt United States
Jozsef Z. Kiss Switzerland
Gajanan Nilaver relative to D.T. Theodosis France D.T. Theodosis's profile →
Citations per field
00.5×1.7×
D.T. Theodosis · 1×
Citations per year

Countries citing papers authored by Gajanan Nilaver

Since Specialization
Citations

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

Fields of papers citing papers by Gajanan Nilaver

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 199925
2 199925
3 19964
4 1994319
5 199496
6 199415
7 199326
8 199220
9 199214
10 19901
11 199013
12 198921
13 19893
14 198813
15 198845
16 198823
17 198518
18 198424
19 198226
20 1982146

About Gajanan Nilaver

Gajanan Nilaver is a scholar working on Behavioral Neuroscience, Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems, Neurology and Developmental Neuroscience, having authored 81 papers that have together received 4.2k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (26 papers), Neuroendocrine regulation and behavior (22 papers), Stress Responses and Cortisol (10 papers), Receptor Mechanisms and Signaling (9 papers), Neuroinflammation and Neurodegeneration Mechanisms (8 papers), Neuroscience of respiration and sleep (7 papers), Pain Mechanisms and Treatments (6 papers) and Neurogenesis and neuroplasticity mechanisms (6 papers). The work is most often cited by research in Behavioral Neuroscience (409 citations), Endocrine and Autonomic Systems (768 citations), Cellular and Molecular Neuroscience (2.0k citations), Developmental Neuroscience (402 citations) and Neurology (445 citations). Gajanan Nilaver has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Earl A. Zimmerman, Robert S. Sloviter, Ann‐Judith Silverman, John D. Scott, Susan E. Bergeson, R Defendini, Norman Latov, Daniel W. Carr, Gary L. Westbrook and Christian Rosenmund. Their work appears in journals such as Brain Research, Peptides, Neurosurgery, Annals of the New York Academy of Sciences and The Journal of Comparative Neurology.

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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