Supriya Jain

52 total papers · 1.1k total citations
14 papers, 302 citations indexed

About

Supriya Jain is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Supriya Jain has authored 14 papers receiving a total of 302 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Surgery, 6 papers in Cardiology and Cardiovascular Medicine and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Supriya Jain's work include Kawasaki Disease and Coronary Complications (5 papers), Viral Infections and Immunology Research (4 papers) and Coronary Artery Anomalies (3 papers). Supriya Jain is often cited by papers focused on Kawasaki Disease and Coronary Complications (5 papers), Viral Infections and Immunology Research (4 papers) and Coronary Artery Anomalies (3 papers). Supriya Jain collaborates with scholars based in United States, Canada and India. Supriya Jain's co-authors include Shiraz A. Maskatia, Richa Jain, Anita J. Moon‐Grady, Lisa K. Hornberger, Nilanjana Misra, Lasya Gaur, Parham Eshtehardi, Brian Fonseca, Audrey Dionne and Cedric Manlhiot and has published in prestigious journals such as Circulation, PEDIATRICS and Journal of Cardiovascular Magnetic Resonance.

In The Last Decade

Supriya Jain

12 papers receiving 293 citations

Author Peers

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

Author						Papers	Cites
Supriya Jain	173	150	112	73	64	14	302
Pauline Parisot	214 1.2×	90 0.6×	92 0.8×	136 1.9×	77 1.2×	14	363
Matthew D. Elias	276 1.6×	123 0.8×	63 0.6×	161 2.2×	83 1.3×	23	363
Juliana Ferreira Ferranti	132 0.8×	71 0.5×	164 1.5×	66 0.9×	54 0.8×	12	345
Kae Watanabe	136 0.8×	65 0.4×	55 0.5×	56 0.8×	26 0.4×	19	224
Dongngan T. Truong	90 0.5×	119 0.8×	37 0.3×	93 1.3×	129 2.0×	19	244
Max Godfrey	105 0.6×	150 1.0×	31 0.3×	91 1.2×	200 3.1×	14	300
Giuseppe Mariani	145 0.8×	106 0.7×	129 1.2×	34 0.5×	47 0.7×	14	354
Ronald H. Miles	106 0.6×	110 0.7×	38 0.3×	71 1.0×	79 1.2×	13	321
Flavia Ballocca	85 0.5×	148 1.0×	60 0.5×	22 0.3×	86 1.3×	13	356
E. Kevin Hall	107 0.6×	214 1.4×	192 1.7×	15 0.2×	30 0.5×	12	356

Countries citing papers authored by Supriya Jain

Since Specialization

Citations

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

Fields of papers citing papers by Supriya Jain

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Supriya Jain

This figure shows the co-authorship network connecting the top 25 collaborators of Supriya Jain. A scholar is included among the top collaborators of Supriya Jain 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 Supriya Jain. Supriya Jain 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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