Vikash Sinha

18 papers receiving 344 citations

Peers

Vikash Sinha
Comparison fields: 5 of 78
  • Biological Psychiatry 10
  • Cellular and Molecular Neuroscience 77
  • Nephrology 25
  • Computational Theory and Mathematics 61
  • Psychiatry and Mental health 46
Replace Yosuke Nakatani with:
Yosuke Nakatani Japan
Karen Sooy United Kingdom
Holger Fuchs Germany
Nasir Mirza United Kingdom
Stefania Mariani Italy
Izuru Miyoshi Japan
Marie‐Odile Guimond Canada
Yuhua Yang China
Antonio Páez Spain
Jagadeesh Aluri United States
Vikash Sinha relative to Yosuke Nakatani Japan Yosuke Nakatani's profile →
Citations per field
00.5×2×4×5.1×
Yosuke Nakatani · 1×
Citations per year

Countries citing papers authored by Vikash Sinha

Since Specialization
Citations

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

Fields of papers citing papers by Vikash Sinha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201459
2 201456
3 201352
4 201649
5 201543
6 201125
7 201815
8 201512
9 201511
10 20188
11 20205
12 19984
13 20164
14 20192
15 20192
16 20242
17 20101
18 20121
19 20230
20 20250

About Vikash Sinha

Vikash Sinha is a scholar working on Surgery, Cellular and Molecular Neuroscience, Molecular Biology, Pharmacology and Pathology and Forensic Medicine, having authored 20 papers that have together received 351 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (3 papers), Drug Transport and Resistance Mechanisms (2 papers), Computational Drug Discovery Methods (2 papers), Psoriasis: Treatment and Pathogenesis (2 papers), Alzheimer's disease research and treatments (1 paper), Cardiac electrophysiology and arrhythmias (1 paper), Endometriosis Research and Treatment (1 paper) and Sinusitis and nasal conditions (1 paper). The work is most often cited by research in Biological Psychiatry (10 citations), Cellular and Molecular Neuroscience (77 citations), Nephrology (25 citations), Computational Theory and Mathematics (61 citations) and Psychiatry and Mental health (46 citations). Vikash Sinha has collaborated with scholars based in United States, Belgium and Sweden. Frequent co-authors include Luis M. Vence, Abdulla K. Salahudeen, Claire Mackie, Wilhelmus Drinkenburg, Irena Loryan, Donald Heald, Margareta Hammarlund‐Udenaes, An Vermeulen, Achiel Van Peer and Luc Van Nueten. Their work appears in journals such as Journal of Investigative Medicine, Journal of Investigative Dermatology, Statistics in Biopharmaceutical Research, BMJ Paediatrics Open and Journal of Psychopharmacology.

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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