Eric J. Oh
Impact in
- Infectious Diseases top 10%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Neurology top 10%
- Long-Term Effects of COVID-19
Papers in
-
- Neurotransmitter Receptor Influence on Behavior 3
- Neuroscience and Neuropharmacology Research 3
-
- Statistical Methods and Bayesian Inference 2
- Statistical Methods and Inference 2
- Advanced Causal Inference Techniques 2
- Co-authors
- Toni Shaun Shippenberg (4 shared papers)Pamela A. Shaw (4 shared papers)Cristina M. Bäckman (2 shared papers)Sammanda Ramamoorthy (1 shared paper)Patricio O’Donnell (1 shared paper)Danielle S. Counotte (1 shared paper)Hugo A. Tejeda (1 shared paper)Agustin Zapata (2 shared papers)
- Journals
- American Journal of Clinical Nutrition (2 papers)Neuropsychopharmacology (2 papers)Statistics in Medicine (2 papers)Journal of Neurochemistry (1 paper)Public Understanding of Science (1 paper)
- Partner nations
- United StatesNew ZealandGermany
In The Last Decade
Eric J. Oh
9 papers receiving 570 citations
Eric J. Oh's Hit Papers
Peers
Comparison fields: 5 of 82
- Infectious Diseases 186
- Neurology 119
- Cellular and Molecular Neuroscience 125
- Biological Psychiatry 15
- Behavioral Neuroscience 20
Countries citing papers authored by Eric J. Oh
This map shows the geographic impact of Eric J. Oh'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 Eric J. Oh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric J. Oh more than expected).
Fields of papers citing papers by Eric J. Oh
This network shows the impact of papers produced by Eric J. Oh. 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 Eric J. Oh. The network helps show where Eric J. Oh may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric J. Oh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | COVID-19 and cardiac arrhythmias Hit paper breakdown → | 2020 | 313 |
| 2 | 2013 | 105 | |
| 3 | 2007 | 51 | |
| 4 | 2019 | 32 | |
| 5 | 2006 | 29 | |
| 6 | 2017 | 25 | |
| 7 | 2020 | 18 | |
| 8 | 2012 | 7 | |
| 9 | 2014 | 4 | |
| 10 | 2020 | 0 |
About Eric J. Oh
Eric J. Oh is a scholar working on Cellular and Molecular Neuroscience, Statistics and Probability, Statistics, Probability and Uncertainty, Molecular Biology and Cognitive Neuroscience, having authored 10 papers that have together received 584 indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Statistical Methods and Bayesian Inference (2 papers), Statistical Methods and Inference (2 papers), Advanced Causal Inference Techniques (2 papers), Receptor Mechanisms and Signaling (2 papers), Memory and Neural Mechanisms (1 paper) and Ion channel regulation and function (1 paper). The work is most often cited by research in Infectious Diseases (186 citations), Neurology (119 citations), Cellular and Molecular Neuroscience (125 citations), Biological Psychiatry (15 citations) and Behavioral Neuroscience (20 citations). Eric J. Oh has collaborated with scholars based in United States, New Zealand and Germany. Frequent co-authors include Toni Shaun Shippenberg, Pamela A. Shaw, Cristina M. Bäckman, Sammanda Ramamoorthy, Patricio O’Donnell, Danielle S. Counotte, Hugo A. Tejeda, Agustin Zapata, Thomas Lumley and Bryan E. Shepherd. Their work appears in journals such as American Journal of Clinical Nutrition, Neuropsychopharmacology, Statistics in Medicine, Journal of Neurochemistry and Public Understanding of Science.
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.