Ravi A. Shah

921 citations
9 papers · 698 indexed · h-index 7
Topics
Neuroscience and Neuropharmacology Research (4 papers)Estrogen and related hormone effects (3 papers)Menopause: Health Impacts and Treatments (3 papers)

In The Last Decade

Ravi A. Shah

9 papers receiving 687 citations

Peers

Ravi A. Shah
Comparison fields: 5 of 70
  • Genetics 337
  • Endocrinology, Diabetes and Metabolism 296
  • Cellular and Molecular Neuroscience 242
  • Behavioral Neuroscience 174
  • Molecular Biology 111
Replace Tatiana Ivanova with:
Tatiana Ivanova Germany
Brigitte Delespierre France
Luciana Pietranera Argentina
Badia Ferzaz France
Myreille D’Astous Canada
Guy Valiquette United States
Vladimir Znamensky United States
Linda A. Bean United States
Hanako Shikimi Japan
Lara Ianov United States
Ravi A. Shah relative to Tatiana Ivanova Germany Tatiana Ivanova's profile →
Citations per field
00.5×5.1×
Tatiana Ivanova · 1×
Citations per year

Countries citing papers authored by Ravi A. Shah

Since Specialization
Citations

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

Fields of papers citing papers by Ravi A. Shah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ravi A. Shah. 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 Ravi A. Shah. The network helps show where Ravi A. Shah may publish in the future.

Co-authorship network of co-authors of Ravi A. Shah

This figure shows the co-authorship network connecting the top 25 collaborators of Ravi A. Shah. A scholar is included among the top collaborators of Ravi A. Shah based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ravi A. Shah. Ravi A. Shah is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
#WorkIndexed citations
1 11
2 4
3 8
4 45
5 1
6 115
7 231
8 182
9 101

About Ravi A. Shah

Ravi A. Shah is a scholar working on Endocrinology, Diabetes and Metabolism, Cellular and Molecular Neuroscience and Genetics, having authored 9 papers that have together received 698 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (4 papers), Estrogen and related hormone effects (3 papers) and Menopause: Health Impacts and Treatments (3 papers). The work is most often cited by research in Behavioral Neuroscience (174 citations), Endocrinology, Diabetes and Metabolism (296 citations) and Developmental Neuroscience (73 citations). Ravi A. Shah has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include John H. Morrison, William G.M. Janssen, Michelle M. Adams, Shinji Hayashi, Bruce S. McEwen, Teresa A. Milner, Warren G. Young, Jon W. Gordon, Patrick R. Hof and Esther A. Nimchinsky. Their work appears in journals such as Proceedings of the National Academy of Sciences, Circulation and Journal of Neuroscience.

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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