Satish Pasula

843 total citations
19 papers, 454 citations indexed

About

Satish Pasula is a scholar working on Molecular Biology, Immunology and Cell Biology. According to data from OpenAlex, Satish Pasula has authored 19 papers receiving a total of 454 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Immunology and 6 papers in Cell Biology. Recurrent topics in Satish Pasula's work include Cell Adhesion Molecules Research (5 papers), Cellular transport and secretion (3 papers) and Phagocytosis and Immune Regulation (3 papers). Satish Pasula is often cited by papers focused on Cell Adhesion Molecules Research (5 papers), Cellular transport and secretion (3 papers) and Phagocytosis and Immune Regulation (3 papers). Satish Pasula collaborates with scholars based in United States, Japan and Canada. Satish Pasula's co-authors include Jeong‐Ho Kim, Stephen J. Deminoff, Brenda Andrews, Balaraj B. Menon, Kandice L. Tessneer, Nayan J. Sarma, Kristine A. Willis, George M. Santangelo, Xiaofeng Cai and Baojun Chang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Circulation Research.

In The Last Decade

Satish Pasula

18 papers receiving 448 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Satish Pasula United States 11 334 82 66 64 48 19 454
Reniqua House United States 11 391 1.2× 78 1.0× 157 2.4× 50 0.8× 74 1.5× 11 520
Laiji Li Canada 13 332 1.0× 86 1.0× 128 1.9× 87 1.4× 27 0.6× 17 482
Kandice L. Tessneer United States 9 179 0.5× 51 0.6× 62 0.9× 58 0.9× 55 1.1× 16 292
Christine Bourcier France 9 381 1.1× 109 1.3× 115 1.7× 79 1.2× 42 0.9× 10 534
Beatriz del Valle‐Pérez Spain 13 426 1.3× 130 1.6× 46 0.7× 73 1.1× 41 0.9× 14 522
Luciana M. Laguinge United States 7 309 0.9× 40 0.5× 37 0.6× 122 1.9× 74 1.5× 9 471
Louise Mitchell United Kingdom 9 324 1.0× 99 1.2× 151 2.3× 62 1.0× 42 0.9× 15 439
Nan Sethakorn United States 14 303 0.9× 48 0.6× 63 1.0× 117 1.8× 48 1.0× 24 464
Kim Moran‐Jones Australia 13 465 1.4× 62 0.8× 92 1.4× 63 1.0× 36 0.8× 16 562
Cristina Pérez-Sánchez Spain 5 313 0.9× 123 1.5× 93 1.4× 88 1.4× 46 1.0× 7 433

Countries citing papers authored by Satish Pasula

Since Specialization
Citations

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

Fields of papers citing papers by Satish Pasula

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Satish Pasula

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

All Works

19 of 19 papers shown
1.
Fu, Yao, Jennifer A. Kelly, Richard Pelikan, et al.. (2024). Massively parallel reporter assay confirms regulatory potential of hQTLs and reveals important variants in lupus and other autoimmune diseases. Human Genetics and Genomics Advances. 5(2). 100279–100279. 3 indexed citations
2.
Pasula, Satish, Yao Fu, Kandice L. Tessneer, et al.. (2022). Systemic lupus erythematosus variants modulate the function of an enhancer upstream of TNFAIP3. Frontiers in Genetics. 13. 1011965–1011965. 7 indexed citations
3.
Tessneer, Kandice L., Yao Fu, Satish Pasula, et al.. (2021). Variants on the UBE2L3/YDJC Autoimmune Disease Risk Haplotype Increase UBE2L3 Expression by Modulating CCCTC‐Binding Factor and YY1 Binding. Arthritis & Rheumatology. 74(1). 163–173. 4 indexed citations
4.
5.
Wu, Hao, Yunzhou Dong, Satish Pasula, et al.. (2016). Selective Targeting of a Novel Epsin–VEGFR2 Interaction Promotes VEGF-Mediated Angiogenesis. Circulation Research. 118(6). 957–969. 35 indexed citations
6.
Chang, Baojun, Kandice L. Tessneer, Xiaolei Liu, et al.. (2015). Epsin is required for Dishevelled stability and Wnt signalling activation in colon cancer development. Nature Communications. 6(1). 6380–6380. 28 indexed citations
7.
Song, Hoogeun, Satish Pasula, Megan L. Brophy, et al.. (2014). Abstract 15705: Novel Epsin-VEGFR2 Interactions Facilitated by c-Cbl Ubiquitination of Epsin and VEGFR2 Regulate VEGFR2 Signaling and Physiological and Pathological Angiogenesis. 130. 1 indexed citations
8.
Liu, Xiaolei, Satish Pasula, Hoogeun Song, et al.. (2014). Temporal and spatial regulation of epsin abundance and VEGFR3 signaling are required for lymphatic valve formation and function. Science Signaling. 7(347). ra97–ra97. 51 indexed citations
9.
Lee, Monica Y., Athanasia Skoura, Eon Joo Park, et al.. (2014). Dynamin 2 regulation of integrin endocytosis, but not VEGF signaling, is crucial for developmental angiogenesis. Development. 141(7). 1465–1472. 35 indexed citations
10.
Lee, Monica Y., Athanasia Skoura, Shira Landskroner-Eiger, et al.. (2014). Dynamin 2 regulation of integrin endocytosis, but not VEGF signaling, is crucial for developmental angiogenesis. Journal of Cell Science. 127(7). e1–e1. 8 indexed citations
11.
Tessneer, Kandice L., Xiaofeng Cai, Satish Pasula, et al.. (2013). Epsin Family of Endocytic Adaptor Proteins as Oncogenic Regulators of Cancer Progression. PubMed. 2(3). 144–150. 17 indexed citations
12.
Huang, Qunhua, Lingfeng Qin, Shengchuan Dai, et al.. (2013). AIP1 Suppresses Atherosclerosis by Limiting Hyperlipidemia-Induced Inflammation and Vascular Endothelial Dysfunction. Arteriosclerosis Thrombosis and Vascular Biology. 33(4). 795–804. 40 indexed citations
13.
Tessneer, Kandice L., Satish Pasula, Xiaofeng Cai, et al.. (2013). Endocytic Adaptor Protein Epsin Is Elevated in Prostate Cancer and Required for Cancer Progression. ISRN Oncology. 2013. 1–8. 15 indexed citations
14.
Tessneer, Kandice L., Satish Pasula, Xiaofeng Cai, et al.. (2013). Genetic Reduction of Vascular Endothelial Growth Factor Receptor 2 Rescues Aberrant Angiogenesis Caused by Epsin Deficiency. Arteriosclerosis Thrombosis and Vascular Biology. 34(2). 331–337. 35 indexed citations
15.
16.
Pasula, Satish, et al.. (2010). Role of casein kinase 1 in the glucose sensor-mediated signaling pathway in yeast. BMC Cell Biology. 11(1). 17–17. 22 indexed citations
17.
Pasula, Satish. (2008). Biochemical characterization of two yeast paralogous proteins Mth1 and Std1. Aquila Digital Community (University of Southern Mississippi). 1 indexed citations
18.
Pasula, Satish, David J. Jouandot, & Jeong‐Ho Kim. (2007). Biochemical evidence for glucose‐independent induction of HXT expression in Saccharomyces cerevisiae. FEBS Letters. 581(17). 3230–3234. 31 indexed citations
19.
Menon, Balaraj B., Nayan J. Sarma, Satish Pasula, et al.. (2005). Reverse recruitment: The Nup84 nuclear pore subcomplex mediates Rap1/Gcr1/Gcr2 transcriptional activation. Proceedings of the National Academy of Sciences. 102(16). 5749–5754. 113 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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