Kathryn M. Citrin

492 total citations
9 papers, 320 citations indexed

About

Kathryn M. Citrin is a scholar working on Cancer Research, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Kathryn M. Citrin has authored 9 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cancer Research, 4 papers in Molecular Biology and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Kathryn M. Citrin's work include Angiogenesis and VEGF in Cancer (4 papers), Lipid metabolism and disorders (3 papers) and Cancer-related molecular mechanisms research (3 papers). Kathryn M. Citrin is often cited by papers focused on Angiogenesis and VEGF in Cancer (4 papers), Lipid metabolism and disorders (3 papers) and Cancer-related molecular mechanisms research (3 papers). Kathryn M. Citrin collaborates with scholars based in United States, South Korea and Canada. Kathryn M. Citrin's co-authors include Yajaira Suárez, Carlos Fernández‐Hernando, Diana C. Chong, Victoria L. Bautch, Balkrishna Chaube, Joshua M. Boucher, Abhishek K. Singh, Suk-Won Jin, Andrew T. Barber and Kevin P. Mouillesseaux and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Kathryn M. Citrin

9 papers receiving 318 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Kathryn M. Citrin United States	7	165	77	75	47	37	9	320
Junlan Zhou China	13	234 1.4×	76 1.0×	80 1.1×	61 1.3×	28 0.8×	31	411
Kristy Ou United States	7	248 1.5×	55 0.7×	94 1.3×	91 1.9×	23 0.6×	10	424
Maki Uraoka Japan	6	168 1.0×	62 0.8×	44 0.6×	45 1.0×	37 1.0×	6	407
Matthew R. Richardson United States	11	223 1.4×	52 0.7×	61 0.8×	53 1.1×	17 0.5×	13	446
Fujun Shi China	9	239 1.4×	94 1.2×	145 1.9×	57 1.2×	44 1.2×	20	463
Chenfeng Mao China	9	161 1.0×	56 0.7×	78 1.0×	39 0.8×	13 0.4×	11	340
Binod Aryal United States	5	155 0.9×	84 1.1×	73 1.0×	38 0.8×	28 0.8×	9	341
Xiaodong Pan China	8	161 1.0×	70 0.9×	82 1.1×	69 1.5×	13 0.4×	14	298
Lalita Uttarwar Canada	7	211 1.3×	30 0.4×	134 1.8×	42 0.9×	26 0.7×	7	351
Jianglei Chen United States	10	157 1.0×	57 0.7×	45 0.6×	25 0.5×	13 0.4×	15	359

Countries citing papers authored by Kathryn M. Citrin

Since Specialization

Citations

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

Fields of papers citing papers by Kathryn M. Citrin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kathryn M. Citrin

This figure shows the co-authorship network connecting the top 25 collaborators of Kathryn M. Citrin. A scholar is included among the top collaborators of Kathryn M. Citrin 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 Kathryn M. Citrin. Kathryn M. Citrin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

Zhang, Hanming, Diego Sáenz de Urturi, Pablo Fernández‐Tussy, et al.. (2025). Hypercholesterolemia-induced LXR signaling in smooth muscle cells contributes to vascular lesion remodeling and visceral function. Proceedings of the National Academy of Sciences. 122(10). e2417512122–e2417512122. 2 indexed citations

Citrin, Kathryn M., Balkrishna Chaube, Carlos Fernández‐Hernando, & Yajaira Suárez. (2024). Intracellular endothelial cell metabolism in vascular function and dysfunction. Trends in Endocrinology and Metabolism. 36(8). 744–755. 18 indexed citations

Boutagy, Nabil E., Ana María Gámez-Méndez, Joseph W. Fowler, et al.. (2024). Dynamic metabolism of endothelial triglycerides protects against atherosclerosis in mice. Journal of Clinical Investigation. 134(4). 23 indexed citations

Lee, Heon‐Woo, Alexandre Dubrac, Woosoung Choi, et al.. (2024). ACVR1/ALK2-p21 signaling axis modulates proliferation of the venous endothelium in the retinal vasculature. Angiogenesis. 27(4). 765–777. 3 indexed citations

Chaube, Balkrishna, Kathryn M. Citrin, Mahnaz Sahraei, et al.. (2023). Suppression of angiopoietin-like 4 reprograms endothelial cell metabolism and inhibits angiogenesis. Nature Communications. 14(1). 8251–8251. 30 indexed citations

Singh, Abhishek K., Balkrishna Chaube, Xinbo Zhang, et al.. (2021). Hepatocyte-specific suppression of ANGPTL4 improves obesity-associated diabetes and mitigates atherosclerosis in mice. Journal of Clinical Investigation. 131(17). 75 indexed citations

Citrin, Kathryn M., Carlos Fernández‐Hernando, & Yajaira Suárez. (2021). MicroRNA regulation of cholesterol metabolism. Annals of the New York Academy of Sciences. 1495(1). 55–77. 27 indexed citations

Boucher, Joshua M., et al.. (2017). Dynamic alterations in decoy VEGF receptor-1 stability regulate angiogenesis. Nature Communications. 8(1). 15699–15699. 62 indexed citations

Mouillesseaux, Kevin P., Lauren M. Saunders, Erich J. Kushner, et al.. (2016). Notch regulates BMP responsiveness and lateral branching in vessel networks via SMAD6. Nature Communications. 7(1). 13247–13247. 80 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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