Richard Arndt
- Infectious Diseases top 10%
- Neurology top 10%
- Epidemiology
- Cardiology and Cardiovascular Medicine
- Internal Medicine top 10%
- Co-authors
- Raymund R. RazonableSara N. HansonSidna M. Tulledge‐ScheitelLeigh L. SpeicherRavindra GaneshJohn C. O’HoroLori L. ArndtCaroline G. Wilker
- Topics
- COVID-19 Clinical Research Studies (9 papers)SARS-CoV-2 and COVID-19 Research (8 papers)Long-Term Effects of COVID-19 (6 papers)
- Partner nations
- United StatesAustralia
In The Last Decade
Richard Arndt
17 papers receiving 343 citations
Peers
Comparison fields: 5 of 60
- Infectious Diseases 242
- Neurology 109
- Epidemiology 50
- Cardiology and Cardiovascular Medicine 49
- Internal Medicine 34
Countries citing papers authored by Richard Arndt
This map shows the geographic impact of Richard Arndt'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 Richard Arndt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard Arndt more than expected).
Fields of papers citing papers by Richard Arndt
This network shows the impact of papers produced by Richard Arndt. 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 Richard Arndt. The network helps show where Richard Arndt may publish in the future.
Co-authorship network of co-authors of Richard Arndt
This figure shows the co-authorship network connecting the top 25 collaborators of Richard Arndt. A scholar is included among the top collaborators of Richard Arndt 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 Richard Arndt. Richard Arndt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | Amiodarone Pharmacovigilance Through an Intelligent Electronic Health Record Application. | 2 |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 48 | |
| 6 | 5 | |
| 7 | 28 | |
| 8 | 19 | |
| 9 | 16 | |
| 10 | 97 | |
| 11 | 36 | |
| 12 | 3 | |
| 13 | 6 | |
| 14 | 51 | |
| 15 | Effect of a Statewide Controlled-Substance Monitoring Requirement on the Opioid Prescribing Practice for Treatment of Acute Pain. | 1 |
| 16 | 28 | |
| 17 | Falsely increased HbA1c values by HPLC and falsely decreased values by immunoassay lead to identification of Hb Okayama and help in the management of a diabetic patient. | 3 |
About Richard Arndt
Richard Arndt is a scholar working on Infectious Diseases, Neurology and Internal Medicine, having authored 17 papers that have together received 351 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (9 papers), SARS-CoV-2 and COVID-19 Research (8 papers) and Long-Term Effects of COVID-19 (6 papers). The work is most often cited by research in Infectious Diseases (242 citations), Internal Medicine (34 citations) and Neurology (109 citations). Richard Arndt has collaborated with scholars based in United States and Australia. Frequent co-authors include Raymund R. Razonable, Sara N. Hanson, Sidna M. Tulledge‐Scheitel, Leigh L. Speicher, Ravindra Ganesh, John C. O’Horo, Lori L. Arndt, Caroline G. Wilker, Dennis M. Bierle and Maria Teresa Seville. Their work appears in journals such as Journal of Clinical Investigation, The Journal of Infectious Diseases and Mayo Clinic Proceedings.
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.