Pradeep G. Bhide

6.1k citations
115 papers · 4.8k · h-index 40

Impact in

Papers in

Pradeep G. Bhide

109 papers receiving 4.8k citations

Peers

Pradeep G. Bhide
Comparison fields: 5 of 131
  • Developmental Neuroscience 1.0k
  • Cellular and Molecular Neuroscience 2.1k
  • Neurology 440
  • Biological Psychiatry 115
  • Neurology 535
Replace Michael Dragunow with:
Michael Dragunow New Zealand
Mary E. Blue United States
Carola A. Haas Germany
Atsuo Fukuda Japan
Mercedes F. Paredes United States
Flora M. Vaccarino United States
P. Lawlor New Zealand
Catherine Verney France
Matti S. Airaksinen Finland
Benjamin D. Philpot United States
Pradeep G. Bhide relative to Michael Dragunow New Zealand Michael Dragunow's profile →
Citations per field
00.5×2.7×
Michael Dragunow · 1×
Citations per year

Countries citing papers authored by Pradeep G. Bhide

Since Specialization
Citations

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

Fields of papers citing papers by Pradeep G. Bhide

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pradeep G. Bhide. 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 Pradeep G. Bhide. The network helps show where Pradeep G. Bhide may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 115 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001412
2 1997278
3 2006231
4 2001191
5 2008170
6 2003156
7 1996151
8 2007103
9 2018102
10 2012101
11 2008100
12 200799
13 199592
14 200490
15 200789
16 199186
17 200083
18 200182
19 200582
20 201471

About Pradeep G. Bhide

Pradeep G. Bhide is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Developmental Neuroscience, Psychiatry and Mental health and Pediatrics, Perinatology and Child Health, having authored 115 papers that have together received 4.8k indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (31 papers), Neuroscience and Neuropharmacology Research (23 papers), Attention Deficit Hyperactivity Disorder (17 papers), Axon Guidance and Neuronal Signaling (14 papers), Neurotransmitter Receptor Influence on Behavior (11 papers), Nerve injury and regeneration (8 papers), Prenatal Substance Exposure Effects (8 papers) and Microtubule and mitosis dynamics (7 papers). The work is most often cited by research in Developmental Neuroscience (1.0k citations), Cellular and Molecular Neuroscience (2.1k citations), Neurology (440 citations), Biological Psychiatry (115 citations) and Neurology (535 citations). Pradeep G. Bhide has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Deirdre M. McCarthy, Joseph Biederman, Thomas Spencer, Marian DiFiglia, Ellen Sapp, Neil Aronin, K. S. Bedi, Richard S. Nowakowski, Anju Vasudevan and Tomohide Goto. Their work appears in journals such as Journal of Neuroscience, The Journal of Comparative Neurology, Developmental Neuroscience, PLoS ONE and Proceedings of the National Academy of Sciences.

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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