Yehuda M. Traub

34 total papers · 466 total citations
22 papers, 311 citations indexed

About

Yehuda M. Traub is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Surgery. According to data from OpenAlex, Yehuda M. Traub has authored 22 papers receiving a total of 311 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cardiology and Cardiovascular Medicine, 4 papers in Endocrinology, Diabetes and Metabolism and 3 papers in Surgery. Recurrent topics in Yehuda M. Traub's work include Blood Pressure and Hypertension Studies (9 papers), Hormonal Regulation and Hypertension (4 papers) and Systemic Sclerosis and Related Diseases (3 papers). Yehuda M. Traub is often cited by papers focused on Blood Pressure and Hypertension Studies (9 papers), Hormonal Regulation and Hypertension (4 papers) and Systemic Sclerosis and Related Diseases (3 papers). Yehuda M. Traub collaborates with scholars based in Israel and United States. Yehuda M. Traub's co-authors include Alvin P. Shapiro, Joseph B. Rosenfeld, Robert H. McDonald, Thomas A. Medsger, Gerald P. Rodnan, Thaddeus A. Osial, Manuel Dujovny, M Aygen, Daniel P. Redmond and James A. Shaver and has published in prestigious journals such as CHEST Journal, The Journal of Urology and American Heart Journal.

In The Last Decade

Yehuda M. Traub

19 papers receiving 282 citations

Author Peers

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

Author						Papers	Cites
Yehuda M. Traub	141	73	71	71	59	22	311
C. Rossi	222 1.6×	63 0.9×	106 1.5×	25 0.4×	48 0.8×	19	343
Mustafa Demirtürk	49 0.3×	37 0.5×	53 0.7×	44 0.6×	24 0.4×	20	324
Wenhan Huang	36 0.3×	48 0.7×	17 0.2×	52 0.7×	70 1.2×	29	311
Balazs Odler	121 0.9×	32 0.4×	14 0.2×	14 0.2×	102 1.7×	31	290
Ioanna Minopoulou	42 0.3×	38 0.5×	24 0.3×	32 0.5×	24 0.4×	27	217
Shoshi Takamoto	100 0.7×	29 0.4×	9 0.1×	25 0.4×	30 0.5×	26	328
İbrahim Halil Türkbeyler	63 0.4×	27 0.4×	13 0.2×	31 0.4×	36 0.6×	34	310
Hisaki Shimada	21 0.1×	32 0.4×	32 0.5×	48 0.7×	19 0.3×	20	257
Mahmut Özdemir	23 0.2×	81 1.1×	25 0.4×	132 1.9×	20 0.3×	27	306
Malvika Solanki	99 0.7×	25 0.3×	22 0.3×	11 0.2×	47 0.8×	28	329

Countries citing papers authored by Yehuda M. Traub

Since Specialization

Citations

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

Fields of papers citing papers by Yehuda M. Traub

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yehuda M. Traub. 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 Yehuda M. Traub. The network helps show where Yehuda M. Traub may publish in the future.

Co-authorship network of co-authors of Yehuda M. Traub

This figure shows the co-authorship network connecting the top 25 collaborators of Yehuda M. Traub. A scholar is included among the top collaborators of Yehuda M. Traub 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 Yehuda M. Traub. Yehuda M. Traub 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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