Richard E. Rothman

15.0k total citations · 1 hit paper
304 papers, 8.4k citations indexed

About

Richard E. Rothman is a scholar working on Epidemiology, Infectious Diseases and Emergency Medicine. According to data from OpenAlex, Richard E. Rothman has authored 304 papers receiving a total of 8.4k indexed citations (citations by other indexed papers that have themselves been cited), including 177 papers in Epidemiology, 128 papers in Infectious Diseases and 46 papers in Emergency Medicine. Recurrent topics in Richard E. Rothman's work include HIV/AIDS Research and Interventions (66 papers), HIV, Drug Use, Sexual Risk (59 papers) and Influenza Virus Research Studies (50 papers). Richard E. Rothman is often cited by papers focused on HIV/AIDS Research and Interventions (66 papers), HIV, Drug Use, Sexual Risk (59 papers) and Influenza Virus Research Studies (50 papers). Richard E. Rothman collaborates with scholars based in United States, Taiwan and Zambia. Richard E. Rothman's co-authors include Samuel Yang, Yu‐Hsiang Hsieh, Charlotte A. Gaydos, Gabor D. Kelen, Andrea Dugas, Thomas C. Quinn, Jean Lud Cadet, Vishwanath R. Lingappa, David E. Newman‐Toker and Eili Klein and has published in prestigious journals such as Nature, Science and New England Journal of Medicine.

In The Last Decade

Richard E. Rothman

293 papers receiving 8.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

PCR-based diagnostics for infectious diseases: uses, limitations, and future applications in acute-care settings

2004 729 citations Richard E. Rothman et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Richard E. Rothman United States	46	3.3k	2.4k	1.3k	1.1k	957	304	8.4k
Warren B. Bilker United States	82	3.5k 1.0×	1.6k 0.7×	2.1k 1.6×	1.5k 1.3×	558 0.6×	392	23.2k
Gianvincenzo Zuccotti Italy	51	2.5k 0.8×	2.2k 0.9×	1.6k 1.2×	1.6k 1.4×	557 0.6×	700	11.8k
André Charlett United Kingdom	51	2.6k 0.8×	3.3k 1.4×	718 0.5×	718 0.6×	584 0.6×	275	9.7k
Jean‐Louis Pépin France	86	8.3k 2.5×	8.1k 3.4×	1.4k 1.0×	1.5k 1.3×	648 0.7×	836	33.1k
Peter Schlattmann Germany	49	4.4k 1.3×	602 0.3×	1.2k 0.9×	1.8k 1.6×	444 0.5×	261	15.3k
Brett P. Giroir United States	40	4.3k 1.3×	1.3k 0.5×	1.1k 0.9×	1.5k 1.3×	494 0.5×	89	8.7k
Susan S. Huang United States	58	3.7k 1.1×	4.3k 1.8×	1.4k 1.1×	1.1k 1.0×	685 0.7×	296	11.3k
Charles R. Newton United Kingdom	79	2.1k 0.6×	2.6k 1.1×	2.9k 2.2×	7.1k 6.3×	1.1k 1.1×	524	24.3k
Lawrence B. Schonberger United States	53	3.1k 0.9×	2.3k 1.0×	2.6k 2.0×	672 0.6×	294 0.3×	182	10.9k
Patrizio Pezzotti Italy	54	3.3k 1.0×	4.8k 2.0×	809 0.6×	709 0.6×	479 0.5×	289	10.6k

Countries citing papers authored by Richard E. Rothman

Since Specialization

Citations

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

Fields of papers citing papers by Richard E. Rothman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Richard E. Rothman. 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 E. Rothman. The network helps show where Richard E. Rothman may publish in the future.

Co-authorship network of co-authors of Richard E. Rothman

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

All Works

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20 of 20 papers shown

Prostko, John C., Richard E. Rothman, Yu‐Hsiang Hsieh, et al.. (2024). Performance evaluation of the Abbott Alinity Hepatitis C antigen next assay in a US urban emergency department population. Journal of Clinical Virology. 175. 105743–105743.

Hsieh, Yu‐Hsiang, Erin P. Ricketts, Anne Rompalo, et al.. (2024). An Evaluation of the Performance, Patient Acceptability, and Feasibility of a Point-of-Care HIV-Syphilis Assay in an Urban Emergency Department. Sexually Transmitted Diseases. 51(10). 648–653. 3 indexed citations

Swanson, Nicholas J., Paula M. Marinho, Amanda Dziedzic, et al.. (2023). 2019–2020 H1N1 clade A5a.1 viruses have better in vitro fitness compared with the co-circulating A5a.2 clade. Scientific Reports. 13(1). 10223–10223. 6 indexed citations

Rothman, Richard E., Yu‐Hsiang Hsieh, Susan H. Eshleman, et al.. (2023). Evaluating the impact of point-of-care HIV viral load assessment on linkage to care in Baltimore, MD: a randomized controlled trial. BMC Infectious Diseases. 23(1). 570–570. 1 indexed citations

Chen, Kuan‐Fu, Chin‐Chieh Wu, Ismaeel Yunusa, et al.. (2023). Diagnostic accuracy of clinical signs and symptoms of COVID-19: A systematic review and meta-analysis to investigate the different estimates in a different stage of the pandemic outbreak. Journal of Global Health. 13. 6026–6026. 7 indexed citations

Li, Jinhua, Chin‐Chieh Wu, Yi‐Ju Tseng, et al.. (2022). Applying symptom dynamics to accurately predict influenza virus infection: An international multicenter influenza‐like illness surveillance study. Influenza and Other Respiratory Viruses. 17(1). e13081–e13081. 1 indexed citations

Lyons, Michael S., Marek C. Chawarski, Richard E. Rothman, et al.. (2022). Missed Opportunities for HIV and Hepatitis C Screening Among Emergency Department Patients With Untreated Opioid Use Disorder. Journal of Addiction Medicine. 17(2). 210–214. 2 indexed citations

Karaba, Andrew H., Weiqiang Zhou, Leon L. Hsieh, et al.. (2021). Differential Cytokine Signatures of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) and Influenza Infection Highlight Key Differences in Pathobiology. Clinical Infectious Diseases. 74(2). 254–262. 29 indexed citations

Mehoke, Thomas, Kathryn Shaw‐Saliba, Harrison Powell, et al.. (2021). Identification of H3N2 NA and PB1-F2 genetic variants and their association with disease symptoms during the 2014–15 influenza season. Virus Evolution. 7(1). veab047–veab047. 3 indexed citations

10.

Shapiro, Janna R., Santosh Dhakal, Rosemary Morgan, et al.. (2021). Sex-specific effects of age and body mass index on antibody responses to seasonal influenza vaccines in healthcare workers. Vaccine. 40(11). 1634–1642. 15 indexed citations

11.

Credle, Joel J., Matthew L. Robinson, Jonathan Gunn, et al.. (2021). Highly multiplexed oligonucleotide probe-ligation testing enables efficient extraction-free SARS-CoV-2 detection and viral genotyping. Modern Pathology. 34(6). 1093–1103. 11 indexed citations

12.

Horberg, Michael A., Najlla Nassery, Ejaz A. Shamim, et al.. (2021). Rate of sepsis hospitalizations after misdiagnosis in adult emergency department patients: a look-forward analysis with administrative claims data using Symptom-Disease Pair Analysis of Diagnostic Error (SPADE) methodology in an integrated health system. Diagnosis. 8(4). 479–488. 7 indexed citations

13.

Hsieh, Yu‐Hsiang, et al.. (2020). Intravenous peramivir vs oral oseltamivir in high‐risk emergency department patients with influenza: Results from a pilot randomized controlled study. Influenza and Other Respiratory Viruses. 15(1). 121–131. 15 indexed citations

14.

Lee, Seung‐Han, Victoria Stanton, Richard E. Rothman, et al.. (2017). Misdiagnosis of cerebellar hemorrhage – features of ‘pseudo-gastroenteritis’ clinical presentations to the ED and primary care. Diagnosis. 4(1). 27–33. 6 indexed citations

15.

Jalalpour, Mehdi, Scott Levin, Raynard Washington, et al.. (2016). Google Flu Trends Spatial Variability Validated Against Emergency Department Influenza-Related Visits. Journal of Medical Internet Research. 18(6). e175–e175. 30 indexed citations

16.

Dugas, Andrea, et al.. (2015). Clinical diagnosis of influenza in the ED. The American Journal of Emergency Medicine. 33(6). 770–775. 60 indexed citations

17.

Kecojević, Aleksandar, Ray Ranken, David J. Ecker, et al.. (2014). Rapid PCR/ESI-MS-based molecular genotyping of Staphylococcus aureusfrom nasal swabs of emergency department patients. BMC Infectious Diseases. 14(1). 16–16. 5 indexed citations

18.

Rothman, Richard E., et al.. (2011). Expanded HIV Testing and Trends in Diagnoses of HIV Infection—District of Columbia, 2004–2008. Annals of Emergency Medicine. 57(3). 296–298. 20 indexed citations

19.

Edlow, Jonathan A., Richard E. Rothman, & William G. Barsan. (2008). What Do We Really Know About Neurological Misdiagnosis in the Emergency Department?. Mayo Clinic Proceedings. 83(2). 253–254. 1 indexed citations

20.

Kelen, Gabor D. & Richard E. Rothman. (2006). Community Pneumonia Practice Standard Mandates: Can't See the Forest for the Trees. Academic Emergency Medicine. 13(9). 986–988. 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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