Tamas S. Gal

46 total papers · 866 total citations
23 papers, 534 citations indexed

About

Tamas S. Gal is a scholar working on Cardiology and Cardiovascular Medicine, Oncology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Tamas S. Gal has authored 23 papers receiving a total of 534 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cardiology and Cardiovascular Medicine, 5 papers in Oncology and 5 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Tamas S. Gal's work include Takotsubo Cardiomyopathy and Associated Phenomena (4 papers), Pericarditis and Cardiac Tamponade (3 papers) and Opioid Use Disorder Treatment (3 papers). Tamas S. Gal is often cited by papers focused on Takotsubo Cardiomyopathy and Associated Phenomena (4 papers), Pericarditis and Cardiac Tamponade (3 papers) and Opioid Use Disorder Treatment (3 papers). Tamas S. Gal collaborates with scholars based in United States, Argentina and Italy. Tamas S. Gal's co-authors include F. Gerard Moeller, Taylor A. Ochalek, Kirk L. Cumpston, Brandon K. Wills, Eric B. Durbin, Aryya Gangopadhyay, Zhiyuan Chen, Chi Wang, Rachel L. Stewart and Kathleen L. O’Connor and has published in prestigious journals such as JAMA, SHILAP Revista de lepidopterología and CHEST Journal.

In The Last Decade

Tamas S. Gal

23 papers receiving 518 citations

Author Peers

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

Author						Papers	Cites
Tamas S. Gal	140	91	83	76	66	23	534
Hannah M. Hollandsworth	141 1.0×	62 0.7×	42 0.5×	164 2.2×	69 1.0×	31	601
Hannah Harrison	79 0.6×	40 0.4×	51 0.6×	96 1.3×	80 1.2×	35	549
Tom Belnap	69 0.5×	63 0.7×	52 0.6×	86 1.1×	51 0.8×	20	491
Timothy J. Judson	126 0.9×	57 0.6×	38 0.5×	135 1.8×	35 0.5×	29	599
David Martin	49 0.3×	84 0.9×	128 1.5×	122 1.6×	128 1.9×	31	616
Chi‐Wen Chang	73 0.5×	49 0.5×	136 1.6×	58 0.8×	53 0.8×	36	615
Kezia Gaitskell	78 0.6×	54 0.6×	90 1.1×	147 1.9×	34 0.5×	30	610
Glenn K. Wakam	183 1.3×	41 0.5×	78 0.9×	63 0.8×	24 0.4×	37	584
Soudabeh Fazeli Dehkordy	44 0.3×	223 2.5×	42 0.5×	113 1.5×	92 1.4×	35	596
Tony Fitzgerald	65 0.5×	42 0.5×	35 0.4×	57 0.8×	79 1.2×	24	492

Countries citing papers authored by Tamas S. Gal

Since Specialization

Citations

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

Fields of papers citing papers by Tamas S. Gal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tamas S. Gal. 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 Tamas S. Gal. The network helps show where Tamas S. Gal may publish in the future.

Co-authorship network of co-authors of Tamas S. Gal

This figure shows the co-authorship network connecting the top 25 collaborators of Tamas S. Gal. A scholar is included among the top collaborators of Tamas S. Gal 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 Tamas S. Gal. Tamas S. Gal 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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