Abhinav Goyal

53 total papers · 1.8k total citations
30 papers, 1.0k citations indexed

About

Abhinav Goyal is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Epidemiology. According to data from OpenAlex, Abhinav Goyal has authored 30 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cardiology and Cardiovascular Medicine, 8 papers in Endocrinology, Diabetes and Metabolism and 5 papers in Epidemiology. Recurrent topics in Abhinav Goyal's work include Cardiac Imaging and Diagnostics (5 papers), Diabetes Management and Research (4 papers) and Cardiovascular Health and Risk Factors (3 papers). Abhinav Goyal is often cited by papers focused on Cardiac Imaging and Diagnostics (5 papers), Diabetes Management and Research (4 papers) and Cardiovascular Health and Risk Factors (3 papers). Abhinav Goyal collaborates with scholars based in United States, India and France. Abhinav Goyal's co-authors include Viola Vaccarino, Ambar Kulshreshtha, Emir Veledar, Kaustubh Dabhadkar, Joel Zonszein, Laurence Sperling, Suzanne E. Judd, Jia Shen, Mary Cushman and Yuling Hong and has published in prestigious journals such as Circulation, Blood and Journal of the American College of Cardiology.

In The Last Decade

Abhinav Goyal

29 papers receiving 987 citations

Author Peers

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

Author Last Decade Papers Cites
Abhinav Goyal 508 176 150 127 119 30 1.0k
Ambar Kulshreshtha 454 0.9× 182 1.0× 159 1.1× 72 0.6× 136 1.1× 51 1.1k
Ayman Samman Tahhan 601 1.2× 207 1.2× 82 0.5× 84 0.7× 88 0.7× 40 1.2k
Afzalhussein Yusufali 578 1.1× 227 1.3× 40 0.3× 161 1.3× 91 0.8× 26 1.1k
Ehimen Aneni 343 0.7× 137 0.8× 97 0.6× 154 1.2× 226 1.9× 48 820
Amber E. Johnson 417 0.8× 212 1.2× 64 0.4× 269 2.1× 86 0.7× 55 1.1k
Catherine Paton 301 0.6× 123 0.7× 202 1.3× 148 1.2× 162 1.4× 21 1.0k
Abdonas Tamošiūnas 226 0.4× 173 1.0× 227 1.5× 84 0.7× 175 1.5× 32 952
Meng Su 434 0.9× 178 1.0× 53 0.4× 99 0.8× 106 0.9× 22 1.2k
Mervi Oikonen 435 0.9× 286 1.6× 58 0.4× 130 1.0× 184 1.5× 29 1.0k
K. Liu 468 0.9× 363 2.1× 50 0.3× 217 1.7× 109 0.9× 20 1.2k

Countries citing papers authored by Abhinav Goyal

Since Specialization
Citations

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

Fields of papers citing papers by Abhinav Goyal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abhinav Goyal

This figure shows the co-authorship network connecting the top 25 collaborators of Abhinav Goyal. A scholar is included among the top collaborators of Abhinav Goyal 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 Abhinav Goyal. Abhinav Goyal 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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2026