Abhinav Goyal

1.8k citations
30 papers · 1.0k indexed · h-index 15
Topics
Cardiac Imaging and Diagnostics (5 papers)Diabetes Management and Research (4 papers)Diet, Metabolism, and Disease (3 papers)
Partner nations
United StatesIndiaFrance

In The Last Decade

Abhinav Goyal

29 papers receiving 990 citations

Peers

Abhinav Goyal
Comparison fields: 5 of 105
  • Cardiology and Cardiovascular Medicine 509
  • Public Health, Environmental and Occupational Health 176
  • Health 150
  • Endocrinology, Diabetes and Metabolism 126
  • Epidemiology 119
Replace Aurelian Bidulescu with:
Aurelian Bidulescu United States
Michele Chiappa United States
Maysa Seabra Cendoroglo Brazil
Theodore Feldman United States
Nilay S. Shah United States
Odd Nilssen Norway
Rikki M. Tanner United States
Morgana Mongraw‐Chaffin United States
Carlene M. Grim United States
Abhinav Goyal relative to Aurelian Bidulescu United States Aurelian Bidulescu's profile →
Citations per field
00.5×1.5×2.3×
Aurelian Bidulescu · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 2
2 23
3 13
4 0
5 17
6 42
7 16
8 10
9 3
10 8
11 5
12 1
13 48
14 94
15 61
16 53
17 4
18 74
19 1
20 60

About Abhinav Goyal

Abhinav Goyal is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Family Practice, having authored 30 papers that have together received 1.0k indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (5 papers), Diabetes Management and Research (4 papers) and Diet, Metabolism, and Disease (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (509 citations), Health (150 citations) and Endocrine and Autonomic Systems (76 citations). Abhinav Goyal has collaborated with scholars based in United States, India and France. Frequent co-authors include Viola Vaccarino, Ambar Kulshreshtha, Emir Veledar, Kaustubh Dabhadkar, Joel Zonszein, Suzanne E. Judd, Laurence Sperling, Jia Shen, Yuling Hong and William M. McClellan. Their work appears in journals such as Circulation, Blood and Journal of the American College of Cardiology.

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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