Aparna Shah

741 total citations
26 papers, 530 citations indexed

About

Aparna Shah is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Physiology. According to data from OpenAlex, Aparna Shah has authored 26 papers receiving a total of 530 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Cardiology and Cardiovascular Medicine and 5 papers in Physiology. Recurrent topics in Aparna Shah's work include Adipose Tissue and Metabolism (4 papers), RNA Research and Splicing (4 papers) and Cardiovascular Disease and Adiposity (3 papers). Aparna Shah is often cited by papers focused on Adipose Tissue and Metabolism (4 papers), RNA Research and Splicing (4 papers) and Cardiovascular Disease and Adiposity (3 papers). Aparna Shah collaborates with scholars based in United States, Nepal and Japan. Aparna Shah's co-authors include Alan Frazer, Flavia Carreño, Jennifer J. Donegan, Daniel J. Lodge, Angela M. Boley, Jay M. Baraban, Xiuping Fu, David A. Morilak, Randy Strong and Jun‐Xu Li and has published in prestigious journals such as Biological Psychiatry, Neuroscience and Hypertension.

In The Last Decade

Aparna Shah

22 papers receiving 515 citations

Peers

Aparna Shah
Comparison fields: 5 of 85
  • Cellular and Molecular Neuroscience 169
  • Cognitive Neuroscience 121
  • Biological Psychiatry 114
  • Pharmacology 112
  • Neurology 110
Replace Tomoyuki Saijo with:
Tomoyuki Saijo Japan
Giuseppe Di Iorio Italy
Michelle M. Sidor United States
Carl Sikkema United States
Chin-Chuen Lin Taiwan
Carol Tamminga United States
Joanna Szczepanik United States
Martti Huuhka Finland
Daniela Ferreira Portugal
Jessica Deslauriers Canada
Tomoyuki Saijo Japan View profile →
Citations per field, relative to Aparna Shah
Aparna Shah · 1×
Citations per year, relative to Aparna Shah
Aparna Shah · 1×

Countries citing papers authored by Aparna Shah

Since Specialization
Citations

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

Fields of papers citing papers by Aparna Shah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aparna Shah

This figure shows the co-authorship network connecting the top 25 collaborators of Aparna Shah. A scholar is included among the top collaborators of Aparna 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 Aparna Shah. Aparna Shah is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 0
4 1
5 2
6 5
7 26
8 7
9 2
10 7
11 7
12 14
13 28
14 12
15 158
16 8
17 26
18 68
19 28
20 95

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026