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 mechanism... 1995 2026 2005 2015 2011 2011 1995 2005 2019 500 1000 1.5k 2.0k

Author Peers

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

Author Last Decade Papers Cites
Ira Tabas 20.0k 15.8k 10.9k 10.7k 8.3k 278 46.3k
Alan R. Saltiel 25.3k 1.3× 6.4k 0.4× 5.8k 0.5× 9.4k 0.9× 6.4k 0.8× 280 45.5k
David A. Brenner 20.1k 1.0× 7.1k 0.4× 9.0k 0.8× 26.8k 2.5× 4.5k 0.5× 517 59.5k
Edward A. Fisher 11.6k 0.6× 9.3k 0.6× 9.8k 0.9× 6.3k 0.6× 2.8k 0.3× 433 35.2k
Joseph L. Witztum 18.4k 0.9× 26.5k 1.7× 21.8k 2.0× 10.1k 0.9× 2.4k 0.3× 460 72.1k
Scott L. Friedman 18.1k 0.9× 5.4k 0.3× 9.6k 0.9× 32.5k 3.0× 5.7k 0.7× 438 61.8k
Steven E. Shoelson 17.7k 0.9× 7.9k 0.5× 4.0k 0.4× 9.3k 0.9× 2.6k 0.3× 173 35.9k
Göran K. Hansson 14.0k 0.7× 28.1k 1.8× 9.5k 0.9× 11.5k 1.1× 1.3k 0.2× 455 53.2k
Peter Tontonoz 27.4k 1.4× 7.2k 0.5× 13.3k 1.2× 7.8k 0.7× 1.9k 0.2× 228 45.0k
Seppo Ylä‐Herttuala 21.8k 1.1× 8.3k 0.5× 9.0k 0.8× 3.4k 0.3× 2.0k 0.2× 748 44.5k
Morris F. White 32.8k 1.6× 4.3k 0.3× 12.4k 1.1× 6.5k 0.6× 4.8k 0.6× 346 51.4k

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
1.
Shi, Hongxue, Xiaobo Wang, Brennan D. Gerlach, et al.. (2025). Impaired TIM4-mediated efferocytosis by liver macrophages contributes to fibrosis in metabolic dysfunction–associated steatohepatitis. Science Translational Medicine. 17(815). eadv2106–eadv2106. 2 indexed citations
2.
Wu, Xun, Ziyi Wang, Katherine R. Croce, et al.. (2025). Macrophage WDFY3 mitigates autoimmunity by enhancing efferocytosis and suppressing T cell activation in mice. Nature Communications. 16(1). 8694–8694.
3.
Pauli, Jessica, Nadja Sachs, Katja Steiger, et al.. (2025). Single cell spatial transcriptomics integration deciphers the morphological heterogeneity of atherosclerotic carotid arteries. Nature Communications. 16(1). 11282–11282. 1 indexed citations
4.
Ampomah, Patrick B., Lancia Darville, Xiaobo Wang, et al.. (2024). Efferocytosis drives a tryptophan metabolism pathway in macrophages to promote tissue resolution. Nature Metabolism. 6(9). 1736–1755. 31 indexed citations
5.
Liu, Wenli, Mustafa Yalçınkaya, Malgorzata Olszewska, et al.. (2023). Blockade of IL-6 signaling alleviates atherosclerosis in Tet2-deficient clonal hematopoiesis. Nature Cardiovascular Research. 2(6). 572–586. 38 indexed citations
6.
Yalçınkaya, Mustafa, Wenli Liu, Malgorzata Olszewska, et al.. (2023). BRCC3-Mediated NLRP3 Deubiquitylation Promotes Inflammasome Activation and Atherosclerosis in Tet2 Clonal Hematopoiesis. Circulation. 148(22). 1764–1777. 42 indexed citations
7.
Shi, Hongxue, et al.. (2023). Efferocytosis in liver disease. JHEP Reports. 6(1). 100960–100960. 18 indexed citations
8.
Ampomah, Patrick B., Bishuang Cai, Brennan D. Gerlach, et al.. (2022). Macrophages use apoptotic cell-derived methionine and DNMT3A during efferocytosis to promote tissue resolution. Nature Metabolism. 4(4). 444–457. 98 indexed citations
9.
Shi, Hongxue, Xiaobo Wang, Fang Li, et al.. (2022). CD47-SIRPα axis blockade in NASH promotes necroptotic hepatocyte clearance by liver macrophages and decreases hepatic fibrosis. Science Translational Medicine. 14(672). eabp8309–eabp8309. 55 indexed citations
10.
Shi, Jianting, Xun Wu, Ziyi Wang, et al.. (2022). A genome-wide CRISPR screen identifies WDFY3 as a regulator of macrophage efferocytosis. Nature Communications. 13(1). 7929–7929. 26 indexed citations
11.
Yu, Junjie, Changyu Zhu, Xiaobo Wang, et al.. (2021). Hepatocyte TLR4 triggers inter-hepatocyte Jagged1/Notch signaling to determine NASH-induced fibrosis. Science Translational Medicine. 13(599). 94 indexed citations
12.
Kasikara, Canan, Maaike Schilperoort, Brennan D. Gerlach, et al.. (2021). Deficiency of macrophage PHACTR1 impairs efferocytosis and promotes atherosclerotic plaque necrosis. Journal of Clinical Investigation. 131(8). 36 indexed citations
13.
Wang, Xiaobo, Hongxue Shi, Changyu Zhu, et al.. (2021). TAZ-induced Cybb contributes to liver tumor formation in non-alcoholic steatohepatitis. Journal of Hepatology. 76(4). 910–920. 32 indexed citations
14.
Tao, Wei, Arif Yurdagul, Na Kong, et al.. (2020). siRNA nanoparticles targeting CaMKIIγ in lesional macrophages improve atherosclerotic plaque stability in mice. Science Translational Medicine. 12(553). 191 indexed citations
15.
Zheng, Ze, Keiko Nakamura, Xiaobo Wang, et al.. (2020). Interacting hepatic PAI-1/tPA gene regulatory pathways influence impaired fibrinolysis severity in obesity. Journal of Clinical Investigation. 130(8). 4348–4359. 28 indexed citations
16.
Zhu, Changyu, KyeongJin Kim, Xiaobo Wang, et al.. (2018). Hepatocyte Notch activation induces liver fibrosis in nonalcoholic steatohepatitis. Science Translational Medicine. 10(468). 194 indexed citations
17.
Zheng, Ze, Lalitha Nayak, Arif Yurdagul, et al.. (2018). An ATF6-tPA pathway in hepatocytes contributes to systemic fibrinolysis and is repressed by DACH1. Blood. 133(7). 743–753. 19 indexed citations
18.
Wang, Ying, et al.. (2013). Macrophage Mitochondrial Oxidative Stress Promotes Atherosclerosis and Nuclear Factor-κB–Mediated Inflammation in Macrophages. Circulation Research. 114(3). 421–433. 215 indexed citations
19.
Tabas, Ira. (2002). Cholesterol in health and disease. Journal of Clinical Investigation. 110(5). 583–590. 147 indexed citations
20.
Tabas, Ira. (2002). Cholesterol in health and disease. Journal of Clinical Investigation. 110(5). 583–590. 3 indexed citations

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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