Aparna Shah

41 total papers · 736 total citations
26 papers, 527 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 527 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, Netherlands and Japan. Aparna Shah's co-authors include Alan Frazer, Flavia Carreño, Jennifer J. Donegan, Angela M. Boley, Daniel J. Lodge, Xiuping Fu, Jay M. Baraban, David A. Morilak, Randy Strong and Kenner C. Rice and has published in prestigious journals such as Biological Psychiatry, Neuroscience and Hypertension.

In The Last Decade

Aparna Shah

22 papers receiving 512 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Aparna Shah 169 120 113 111 110 26 527
Tomoyuki Saijo 222 1.3× 189 1.6× 64 0.6× 132 1.2× 43 0.4× 19 610
Sawsan Aboul‐Fotouh 107 0.6× 76 0.6× 226 2.0× 53 0.5× 94 0.9× 28 600
Ru Ma 129 0.8× 172 1.4× 127 1.1× 32 0.3× 105 1.0× 22 570
Carl Sikkema 163 1.0× 92 0.8× 53 0.5× 52 0.5× 69 0.6× 18 493
Hiroki Yoshino 267 1.6× 269 2.2× 65 0.6× 88 0.8× 41 0.4× 22 526
Ayşe Karson 157 0.9× 70 0.6× 208 1.8× 29 0.3× 128 1.2× 26 549
Koji Shinkai 159 0.9× 102 0.8× 102 0.9× 106 1.0× 101 0.9× 20 545
Chin-Chuen Lin 81 0.5× 69 0.6× 174 1.5× 99 0.9× 51 0.5× 26 486
Cüneyt Demiralay 72 0.4× 60 0.5× 80 0.7× 45 0.4× 86 0.8× 33 513
Pei‐Shen Ho 144 0.9× 68 0.6× 162 1.4× 120 1.1× 66 0.6× 38 579

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

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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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