Ami P. Raval

4.2k citations
84 papers · 3.4k indexed · h-index 34

Impact in

Papers in

Ami P. Raval

82 papers receiving 3.3k citations

Peers

Ami P. Raval
Comparison fields: 5 of 123
  • Geriatrics and Gerontology 435
  • Developmental Neuroscience 420
  • Neurology 645
  • Cellular and Molecular Neuroscience 635
  • Pathology and Forensic Medicine 540
Replace Philippe Garnier with:
Philippe Garnier France
Shang‐Der Chen Taiwan
Yan Leng China
Ana M. Fernández Spain
Christiane D. Wrann United States
Giuseppe Faraco United States
Ting‐Ting Huang United States
Tamás Kiss Hungary
Ami P. Raval relative to Philippe Garnier France Philippe Garnier's profile →
Citations per field
00.5×2.8×
Philippe Garnier · 1×
Citations per year

Countries citing papers authored by Ami P. Raval

Since Specialization
Citations

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

Fields of papers citing papers by Ami P. Raval

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ami P. Raval. 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 Ami P. Raval. The network helps show where Ami P. Raval may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20234
3 202236
4 20224
5 20226
6 202110
7 2020133
8 202023
9 201548
10 201334
11 201311
12 201231
13 20111
14 201111
15 201145
16 200947
17 2009320
18 2008101
19 200586
20 2004164

About Ami P. Raval

Ami P. Raval is a scholar working on Developmental Neuroscience, Behavioral Neuroscience, Neurology, Geriatrics and Gerontology and Biological Psychiatry, having authored 84 papers that have together received 3.4k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (21 papers), Cardiac Ischemia and Reperfusion (16 papers), Estrogen and related hormone effects (15 papers), Anesthesia and Neurotoxicity Research (14 papers), Menopause: Health Impacts and Treatments (13 papers), Neuroinflammation and Neurodegeneration Mechanisms (10 papers), Stress Responses and Cortisol (6 papers) and Biochemical effects in animals (5 papers). The work is most often cited by research in Geriatrics and Gerontology (435 citations), Developmental Neuroscience (420 citations), Neurology (645 citations), Cellular and Molecular Neuroscience (635 citations) and Pathology and Forensic Medicine (540 citations). Ami P. Raval has collaborated with scholars based in United States, India and Germany. Frequent co-authors include Miguel A. Pérez‐Pinzón, Kunjan R. Dave, R. Anthony DeFazio, Helen M. Bramlett, David Della‐Morte, Daria Mochly‐Rosen, Micheline McCarthy, Isabel Saul, Thomas J. Sick and Yimin Bao. Their work appears in journals such as Journal of Cerebral Blood Flow & Metabolism, Neuroscience, Stroke, Journal of Neurochemistry and Translational Stroke 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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