Ira Tabas

65.2k total citations · 25 hit papers
278 papers, 46.3k citations indexed

About

Ira Tabas is a scholar working on Immunology, Molecular Biology and Surgery. According to data from OpenAlex, Ira Tabas has authored 278 papers receiving a total of 46.3k indexed citations (citations by other indexed papers that have themselves been cited), including 131 papers in Immunology, 109 papers in Molecular Biology and 96 papers in Surgery. Recurrent topics in Ira Tabas's work include Phagocytosis and Immune Regulation (72 papers), Cholesterol and Lipid Metabolism (64 papers) and Atherosclerosis and Cardiovascular Diseases (53 papers). Ira Tabas is often cited by papers focused on Phagocytosis and Immune Regulation (72 papers), Cholesterol and Lipid Metabolism (64 papers) and Atherosclerosis and Cardiovascular Diseases (53 papers). Ira Tabas collaborates with scholars based in United States, Germany and Canada. Ira Tabas's co-authors include Kevin Jon Williams, David Ron, Kathryn J. Moore, Frederick R. Maxfield, Karin Bornfeldt, Stuart Kornfeld, Alan R. Tall, Arif Yurdagul, Tracie A. Seimon and George Kuriakose and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Ira Tabas

273 papers receiving 45.5k citations

Hit Papers

Integrating the mechanisms of apoptosis i... 1995 2026 2005 2015 2011 2011 1995 2005 2019 500 1000 1.5k 2.0k

Peers

Ira Tabas
Comparison fields: 5 of 170
  • Molecular Biology 20.0k
  • Immunology 15.8k
  • Surgery 10.9k
  • Epidemiology 10.7k
  • Cell Biology 8.3k
Replace Alan R. Saltiel with:
Alan R. Saltiel United States
David A. Brenner United States
Edward A. Fisher United States
Joseph L. Witztum United States
Scott L. Friedman United States
Steven E. Shoelson United States
Göran K. Hansson Sweden
Peter Tontonoz United States
Seppo Ylä‐Herttuala Finland
Morris F. White United States
Alan R. Saltiel United States View profile →
Citations per field, relative to Ira Tabas
Ira Tabas · 1×
Citations per year, relative to Ira Tabas
Ira Tabas · 1×

Countries citing papers authored by Ira Tabas

Since Specialization
Citations

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

Fields of papers citing papers by Ira Tabas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ira Tabas

This figure shows the co-authorship network connecting the top 25 collaborators of Ira Tabas. A scholar is included among the top collaborators of Ira Tabas 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 Ira Tabas. Ira Tabas 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
# Work Indexed citations
1 0
2 0
3 2
4 31
5 18
6 38
7 42
8 98
9 26
10 55
11 94
12 28
13 191
14 222
15 19
16 194
17 215
18 52
19 147
20 3

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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