Aaron Kithcart

834 total citations
20 papers, 531 citations indexed

About

Aaron Kithcart is a scholar working on Immunology, Cardiology and Cardiovascular Medicine and Molecular Biology. According to data from OpenAlex, Aaron Kithcart has authored 20 papers receiving a total of 531 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 5 papers in Cardiology and Cardiovascular Medicine and 3 papers in Molecular Biology. Recurrent topics in Aaron Kithcart's work include Nuclear Receptors and Signaling (3 papers), Cardiomyopathy and Myosin Studies (3 papers) and Venous Thromboembolism Diagnosis and Management (3 papers). Aaron Kithcart is often cited by papers focused on Nuclear Receptors and Signaling (3 papers), Cardiomyopathy and Myosin Studies (3 papers) and Venous Thromboembolism Diagnosis and Management (3 papers). Aaron Kithcart collaborates with scholars based in United States, Poland and India. Aaron Kithcart's co-authors include Calum A. MacRae, Caroline C. Whitacre, Joshua A. Beckman, Todd Shawler, Abhay R. Satoskar, Gina Mavrikis Cox, Jessica Williams, Ingrid E. Gienapp, Tracey L. Papenfuss and Akhil Narang and has published in prestigious journals such as The Lancet, Circulation and The Journal of Immunology.

In The Last Decade

Aaron Kithcart

17 papers receiving 515 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aaron Kithcart United States 10 221 141 96 75 72 20 531
Adrienne H. Williams United States 18 228 1.0× 105 0.7× 130 1.4× 14 0.2× 277 3.8× 27 1.1k
Saori Goto Japan 13 66 0.3× 266 1.9× 211 2.2× 26 0.3× 36 0.5× 39 845
Ting Xie China 12 99 0.4× 31 0.2× 48 0.5× 15 0.2× 41 0.6× 47 412
Denise Lowe United States 14 62 0.3× 34 0.2× 59 0.6× 25 0.3× 54 0.8× 26 485
Hiroki Tabata Japan 13 269 1.2× 51 0.4× 64 0.7× 10 0.1× 34 0.5× 52 664
Roberta Noseda Switzerland 12 103 0.5× 29 0.2× 29 0.3× 85 1.1× 31 0.4× 26 516
Weijie Cao China 16 156 0.7× 54 0.4× 37 0.4× 21 0.3× 113 1.6× 40 615
Lin Lü China 14 120 0.5× 24 0.2× 104 1.1× 36 0.5× 71 1.0× 35 494
Deepali Sundrani India 20 190 0.9× 35 0.2× 45 0.5× 17 0.2× 89 1.2× 43 870

Countries citing papers authored by Aaron Kithcart

Since Specialization
Citations

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

Fields of papers citing papers by Aaron Kithcart

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aaron Kithcart

This figure shows the co-authorship network connecting the top 25 collaborators of Aaron Kithcart. A scholar is included among the top collaborators of Aaron Kithcart 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 Aaron Kithcart. Aaron Kithcart 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
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Kithcart, Aaron, Kishor Devalaraja‐Narashimha, Laura Liu, et al.. (2024). EFFECTS OF REGN5381, A NATRIURETIC PEPTIDE RECEPTOR 1 AGONIST ANTIBODY, IN HYPERTENSIVE MOUSE MODELS AND MILDLY HYPERTENSIVE BUT OTHERWISE HEALTHY ADULTS IN A PHASE 1 FIRST-IN-HUMAN STUDY. Journal of the American College of Cardiology. 83(13). 1706–1706. 1 indexed citations
4.
Teramoto, Ryota, Kenshi Hayashi, Manu Beerens, et al.. (2020). DISRUPTION OF LAMIN A LEADS TO EARLY-ONSET CARDIAC CONDUCTION DYSFUNCTION IN ZEBRAFISH MODELS OF LAMINOPATHY. Journal of the American College of Cardiology. 75(11). 703–703. 1 indexed citations
5.
Mahé, Guillaume, et al.. (2019). Vascular medicine and social media, highlights from the practice and compensation survey, and the future of vascular medicine training. Vascular Medicine. 24(4). 375–379. 3 indexed citations
6.
Narang, Akhil, Poonam Velagapudi, Bharath Rajagopalan, et al.. (2018). A New Educational Framework to Improve Lifelong Learning for Cardiologists. Journal of the American College of Cardiology. 71(4). 454–462. 29 indexed citations
7.
Kithcart, Aaron & Joshua A. Beckman. (2018). ACC/AHA Versus ESC Guidelines for Diagnosis and Management of Peripheral Artery Disease. Journal of the American College of Cardiology. 72(22). 2789–2801. 50 indexed citations
8.
Kithcart, Aaron & Calum A. MacRae. (2018). Zebrafish assay development for cardiovascular disease mechanism and drug discovery. Progress in Biophysics and Molecular Biology. 138. 126–131. 9 indexed citations
9.
Kithcart, Aaron & Calum A. MacRae. (2017). Using Zebrafish for High-Throughput Screening of Novel Cardiovascular Drugs. JACC Basic to Translational Science. 2(1). 1–12. 47 indexed citations
10.
O’Gara, Patrick T., Paul Grayburn, Vinay Badhwar, et al.. (2017). 2017 ACC Expert Consensus Decision Pathway on the Management of Mitral Regurgitation. Journal of the American College of Cardiology. 70(19). 2421–2449. 75 indexed citations
11.
Eisman, Aaron S., Rory B. Weiner, Elizabeth Chen, et al.. (2017). An Automated System for Categorizing Transthoracic Echocardiography Indications According to the Echocardiography Appropriate Use Criteria.. PubMed. 2017. 670–678. 3 indexed citations
12.
Narang, Akhil, Shashank S. Sinha, Bharath Rajagopalan, et al.. (2016). The Supply and Demand of the Cardiovascular Workforce. Journal of the American College of Cardiology. 68(15). 1680–1689. 48 indexed citations
13.
Kithcart, Aaron & Joshua A. Beckman. (2016). Larger Than Life. Circulation. 134(9). 689–693.
14.
Cox, Gina Mavrikis, Aaron Kithcart, David Pitt, et al.. (2013). Macrophage Migration Inhibitory Factor Potentiates Autoimmune-Mediated Neuroinflammation. The Journal of Immunology. 191(3). 1043–1054. 85 indexed citations
15.
Williams, Jessica, Aaron Kithcart, Kristen M. Smith, et al.. (2011). Memory cells specific for myelin oligodendrocyte glycoprotein (MOG) govern the transfer of experimental autoimmune encephalomyelitis. Journal of Neuroimmunology. 234(1-2). 84–92. 23 indexed citations
16.
Kithcart, Aaron, Gina Mavrikis Cox, Thais M. Sielecki, et al.. (2010). A small‐molecule inhibitor of macrophage migration inhibitory factor for the treatment of inflammatory disease. The FASEB Journal. 24(11). 4459–4466. 38 indexed citations
17.
Terrazas, Luis I., Caroline C. Whitacre, Aaron Kithcart, et al.. (2010). Macrophage migration inhibitory factor is a therapeutic target in treatment of non‐insulin‐dependent diabetes mellitus. The FASEB Journal. 24(7). 2583–2590. 51 indexed citations
18.
Song, Fei, Ingrid E. Gienapp, Todd Shawler, et al.. (2008). Pregnancy Modulates Adoptively Transferred Experimental Autoimmune Encephalomyelitis (EAE). The FASEB Journal. 22(S1). 1 indexed citations
19.
McClain, Melanie A., Na Tosha Gatson, Nicole Powell, et al.. (2007). Pregnancy Suppresses Experimental Autoimmune Encephalomyelitis through Immunoregulatory Cytokine Production. The Journal of Immunology. 179(12). 8146–8152. 59 indexed citations
20.
Papenfuss, Tracey L., Aaron Kithcart, Nicole Powell, et al.. (2007). Disease-modifying capability of murine Flt3-ligand DCs in experimental autoimmune encephalomyelitis. Journal of Leukocyte Biology. 82(6). 1510–1518. 8 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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