Alexander Tenenbaum

4.8k citations
111 papers · 3.3k indexed · h-index 33
Topics
Diabetes Treatment and Management (17 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (16 papers)Cardiovascular Function and Risk Factors (15 papers)
Partner nations
IsraelItalyUnited States

In The Last Decade

Alexander Tenenbaum

110 papers receiving 3.2k citations

Peers

Alexander Tenenbaum
Comparison fields: 5 of 151
  • Endocrinology, Diabetes and Metabolism 1.1k
  • Cardiology and Cardiovascular Medicine 851
  • Molecular Biology 839
  • Surgery 670
  • Epidemiology 450
Replace J. P. Burke with:
J. P. Burke United States
Takao Ohta Japan
Hideki Ozawa Japan
Peter Würtz Finland
David G. Levitt United States
Věra Lánská Czechia
Makoto Katori Japan
Riccardo Ricci Italy
Mones Berman United States
L. E. B. Johansson Sweden
Alexander Tenenbaum relative to J. P. Burke United States J. P. Burke's profile →
Citations per field
00.5×3.3×
J. P. Burke · 1×
Citations per year

Countries citing papers authored by Alexander Tenenbaum

Since Specialization
Citations

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

Fields of papers citing papers by Alexander Tenenbaum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexander Tenenbaum

This figure shows the co-authorship network connecting the top 25 collaborators of Alexander Tenenbaum. A scholar is included among the top collaborators of Alexander Tenenbaum 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 Alexander Tenenbaum. Alexander Tenenbaum 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 1
2 19
3 17
4 37
5 75
6 191
7 85
8 19
9 69
10 29
11 93
12 7
13 3
14 82
15 3
16 1
17 18
18 9
19 54
20 42

About Alexander Tenenbaum

Alexander Tenenbaum is a scholar working on Endocrinology, Diabetes and Metabolism, Statistical and Nonlinear Physics and Cardiology and Cardiovascular Medicine, having authored 111 papers that have together received 3.3k indexed citations. Recurring topics across this work include Diabetes Treatment and Management (17 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (16 papers) and Cardiovascular Function and Risk Factors (15 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.1k citations), Cardiology and Cardiovascular Medicine (851 citations) and Statistical and Nonlinear Physics (233 citations). Alexander Tenenbaum has collaborated with scholars based in Israel, Italy and United States. Frequent co-authors include Enrique Z. Fisman, Michael Motro, Yehuda Adler, Giovanni Ciccotti, Valentina Boyko, Solomon Behar, David Tanné, Joseph Shemesh, Michal Benderly and Ehud Schwammenthal. Their work appears in journals such as Circulation, Physical review. B, Condensed matter 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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