Jordan J Wright

10.1k citations
142 papers · 7.5k · 3 hit papers · h-index 42

Impact in

Papers in

Jordan J Wright

135 papers receiving 7.1k citations

Jordan J Wright's Hit Papers

T cells specific for α-myosin drive immunotherapy-related myocarditis 2022 · 257 citations
2570+6+12Years since publication100200300400500

Peers

Jordan J Wright
Comparison fields: 5 of 175
  • Health Informatics 168
  • Cognitive Neuroscience 2.2k
  • Biochemistry 626
  • Statistical and Nonlinear Physics 523
  • Cellular and Molecular Neuroscience 608
Replace Merit Cudkowicz with:
Merit Cudkowicz United States
Joanne S. Allard United States
Ravi Iyengar United States
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Kwangsik T. Nho United States
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Citations per field
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Citations per year

Countries citing papers authored by Jordan J Wright

Since Specialization
Citations

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

Fields of papers citing papers by Jordan J Wright

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jordan J Wright. 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 Jordan J Wright. The network helps show where Jordan J Wright may publish in the future.

Co-authors

The 25 scholars most cited alongside Jordan J Wright, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jordan J Wright Line = papers co-authored together Jordan J Wright links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 142 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Mitochondrial Energetics in the Heart in Obesity-Related Diabetes
Hit paper breakdown →
2007504
2 1997409
3 1993380
4 2023314
5
Endocrine toxicities of immune checkpoint inhibitors
Hit paper breakdown →
2021306
6 2001305
7 1991260
8
T cells specific for α-myosin drive immunotherapy-related myocarditis
Hit paper breakdown →
2022257
9 1992253
10 2009253
11 1970194
12 1995181
13 2010149
14 2009149
15 1995139
16 1969131
17 1973117
18 1994111
19 2015108
20 2010107

About Jordan J Wright

Jordan J Wright is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Statistical and Nonlinear Physics, Oncology and Cell Biology, having authored 142 papers that have together received 7.5k indexed citations. Recurring topics across this work include Neural dynamics and brain function (53 papers), EEG and Brain-Computer Interfaces (17 papers), Functional Brain Connectivity Studies (12 papers), stochastic dynamics and bifurcation (12 papers), Pancreatic function and diabetes (11 papers), Neural Networks and Applications (11 papers), Nonlinear Dynamics and Pattern Formation (10 papers) and Neuroscience and Neural Engineering (8 papers). The work is most often cited by research in Health Informatics (168 citations), Cognitive Neuroscience (2.2k citations), Biochemistry (626 citations), Statistical and Nonlinear Physics (523 citations) and Cellular and Molecular Neuroscience (608 citations). Jordan J Wright has collaborated with scholars based in United States, New Zealand and Australia. Frequent co-authors include Peter A. Robinson, CHRISTOPHER J. RENNIE, David T. J. Liley, Arthur John Birch, Bradley C. Pearce, Alvin C. Powers, Douglas Buckner Johnson, Robert R. Kydd, Evian Gordon and Asaf A. Qureshi. Their work appears in journals such as Biological Cybernetics, Diabetes, Electroencephalography and Clinical Neurophysiology, Network Computation in Neural Systems and Experimental Neurology.

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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