Jason M. Tanner

1.3k total citations
11 papers, 451 citations indexed

About

Jason M. Tanner is a scholar working on Physiology, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Jason M. Tanner has authored 11 papers receiving a total of 451 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Physiology, 3 papers in Molecular Biology and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Jason M. Tanner's work include Nitric Oxide and Endothelin Effects (3 papers), Sarcoma Diagnosis and Treatment (2 papers) and T-cell and B-cell Immunology (2 papers). Jason M. Tanner is often cited by papers focused on Nitric Oxide and Endothelin Effects (3 papers), Sarcoma Diagnosis and Treatment (2 papers) and T-cell and B-cell Immunology (2 papers). Jason M. Tanner collaborates with scholars based in United States, Australia and Germany. Jason M. Tanner's co-authors include J. David Symons, E. Dale Abel, Shawna L. McMillin, Quan‐Jiang Zhang, Derrick C. Gale, Elaine Hillas, Morris J. Birnbaum, Donald A. McClain, Robert C. Cooksey and Deborah L. Jones and has published in prestigious journals such as The Journal of Immunology, Circulation Research and Molecular and Cellular Biology.

In The Last Decade

Jason M. Tanner

11 papers receiving 445 citations

Peers

Jason M. Tanner
Jeffery D. Hasday United States
Dmitri Belov United States
Waled Shihata Australia
Liang Xie United States
Kimberly Hewitt Australia
Stacey Galloway United Kingdom
Huili Lin China
Jeffery D. Hasday United States
Jason M. Tanner
Citations per year, relative to Jason M. Tanner Jason M. Tanner (= 1×) peers Jeffery D. Hasday

Countries citing papers authored by Jason M. Tanner

Since Specialization
Citations

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

Fields of papers citing papers by Jason M. Tanner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jason M. Tanner

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

All Works

11 of 11 papers shown
1.
Theisen, Emily R., Jason M. Tanner, Cenny Taslim, et al.. (2020). Chromatin profiling reveals relocalization of lysine-specific demethylase 1 by an oncogenic fusion protein. Epigenetics. 16(4). 405–424. 21 indexed citations
2.
Tanner, Jason M., Claire Bensard, Wei Peng, et al.. (2017). EWS/FLI is a Master Regulator of Metabolic Reprogramming in Ewing Sarcoma. Molecular Cancer Research. 15(11). 1517–1530. 38 indexed citations
3.
Sankar, Savita, Jason M. Tanner, Russell Bell, et al.. (2013). A Novel Role for Keratin 17 in Coordinating Oncogenic Transformation and Cellular Adhesion in Ewing Sarcoma. Molecular and Cellular Biology. 33(22). 4448–4460. 44 indexed citations
4.
Tanner, Jason M., Bum‐Joon Kim, Crystal Sloan, et al.. (2010). Fasting-induced reductions in cardiovascular and metabolic variables occur sooner in obese versus lean mice. Experimental Biology and Medicine. 235(12). 1489–1497. 11 indexed citations
5.
Vale, André M., Jason M. Tanner, Robert L. Schelonka, et al.. (2010). The Peritoneal Cavity B-2 Antibody Repertoire Appears To Reflect Many of the Same Selective Pressures That Shape the B-1a and B-1b Repertoires. The Journal of Immunology. 185(10). 6085–6095. 17 indexed citations
6.
Zhang, Quan‐Jiang, et al.. (2009). Endothelial nitric oxide synthase phosphorylation in treadmill‐running mice: role of vascular signalling kinases. The Journal of Physiology. 587(15). 3911–3920. 93 indexed citations
7.
Symons, J. David, Shawna L. McMillin, Christian Riehle, et al.. (2009). Contribution of Insulin and Akt1 Signaling to Endothelial Nitric Oxide Synthase in the Regulation of Endothelial Function and Blood Pressure. Circulation Research. 104(9). 1085–1094. 158 indexed citations
8.
Larson, Abigail, Richard S. Bruno, Yi Guo, et al.. (2009). Acute Quercetin Supplementation Does Not Lower Blood Pressure or Ace Activity in Normotensive Males. Journal of the American Dietetic Association. 109(9). A16–A16. 5 indexed citations
9.
Symons, J. David, William L. Holland, Jason M. Tanner, et al.. (2008). Inhibiting vascular ceramide synthesis prevents arterial dysfunction and hypertension in mice with diet‐induced obesity. The FASEB Journal. 22(S1). 1 indexed citations
10.
Schelonka, Robert L., Jason M. Tanner, Yingxin Zhuang, et al.. (2007). Categorical selection of the antibody repertoire in splenic B cells. European Journal of Immunology. 37(4). 1010–1021. 40 indexed citations
11.
Barcroft, H., et al.. (1952). On the blood flow through rhythmically contracting muscle before and during release of sympathetic vasoconstrictor tone. The Journal of Physiology. 117(3). 391–400. 23 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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