Tal Geva

74 total papers · 1.4k total citations
35 papers, 798 citations indexed

About

Tal Geva is a scholar working on Epidemiology, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Tal Geva has authored 35 papers receiving a total of 798 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Epidemiology, 20 papers in Cardiology and Cardiovascular Medicine and 15 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Tal Geva's work include Congenital Heart Disease Studies (20 papers), Cardiac Valve Diseases and Treatments (8 papers) and Coronary Artery Anomalies (8 papers). Tal Geva is often cited by papers focused on Congenital Heart Disease Studies (20 papers), Cardiac Valve Diseases and Treatments (8 papers) and Coronary Artery Anomalies (8 papers). Tal Geva collaborates with scholars based in United States, Israel and China. Tal Geva's co-authors include M Frand, Andrew J. Powell, Julius Hegesh, Richard Van Praagh, Peter C. Laussen, Kirsten C. Odegard, Roxann Rokey, G. Wesley Vick, Richard E. Wendt and Ruth Nass and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Tal Geva

33 papers receiving 767 citations

Author Peers

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

Author						Papers	Cites
Tal Geva	405	365	326	195	120	35	798
Lynne E. Nield	371 0.9×	390 1.1×	213 0.7×	305 1.6×	137 1.1×	49	839
Jarupim Soongswang	380 0.9×	292 0.8×	447 1.4×	329 1.7×	73 0.6×	54	816
Jeffrey Smallhorn	523 1.3×	502 1.4×	314 1.0×	282 1.4×	97 0.8×	28	874
Todd Bull	131 0.3×	354 1.0×	532 1.6×	142 0.7×	76 0.6×	37	976
Lílian Maria Lopes	520 1.3×	370 1.0×	240 0.7×	334 1.7×	60 0.5×	40	877
Renato Fusman	273 0.7×	225 0.6×	355 1.1×	84 0.4×	116 1.0×	31	711
Maarten K. Ninaber	187 0.5×	148 0.4×	428 1.3×	129 0.7×	74 0.6×	57	811
Federico Gutiérrez‐Larraya	432 1.1×	231 0.6×	359 1.1×	376 1.9×	58 0.5×	56	759
Henry B. Wiles	319 0.8×	648 1.8×	237 0.7×	241 1.2×	115 1.0×	41	1.0k
Ann Kavanaugh‐McHugh	452 1.1×	303 0.8×	231 0.7×	189 1.0×	43 0.4×	39	1.0k

Countries citing papers authored by Tal Geva

Since Specialization

Citations

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

Fields of papers citing papers by Tal Geva

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tal Geva

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