Roy Sabo

115 papers receiving 2.1k citations

Roy Sabo's Hit Papers

Excess Deaths From COVID-19 and Other Causes in the US, March 1, 2020, to January 2, 2021 2021 · 201 citations
2010+2+4Years since publication100200300

Peers

Roy Sabo
Comparison fields: 5 of 147
  • Modeling and Simulation 172
  • Health 278
  • General Health Professions 725
  • Oncology 556
  • Health, Toxicology and Mutagenesis 231
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Citations per year

Countries citing papers authored by Roy Sabo

Since Specialization
Citations

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

Fields of papers citing papers by Roy Sabo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Roy Sabo, 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 Roy Sabo Line = papers co-authored together Roy Sabo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 127 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Excess Deaths From COVID-19 and Other Causes, March-April 2020
Hit paper breakdown →
2020396
2
Excess Deaths From COVID-19 and Other Causes in the US, March 1, 2020, to January 2, 2021
Hit paper breakdown →
2021201
3 2020199
4 201984
5 201171
6 201365
7 201860
8 201949
9 201048
10 201943
11 201837
12 200837
13 201234
14 201230
15
Assessment of Addiction Medicine Training in Family Medicine Residency Programs: A CERA Study.
201730
16 201229
17 201728
18 201726
19 202025
20 201825

About Roy Sabo

Roy Sabo is a scholar working on General Health Professions, Public Health, Environmental and Occupational Health, Oncology, Epidemiology and Hematology, having authored 127 papers that have together received 2.1k indexed citations. Recurring topics across this work include Primary Care and Health Outcomes (12 papers), Hematopoietic Stem Cell Transplantation (12 papers), Healthcare Policy and Management (9 papers), Health disparities and outcomes (8 papers), Opioid Use Disorder Treatment (7 papers), Birth, Development, and Health (6 papers), Obesity, Physical Activity, Diet (6 papers) and Chronic Disease Management Strategies (6 papers). The work is most often cited by research in Modeling and Simulation (172 citations), Health (278 citations), General Health Professions (725 citations), Oncology (556 citations) and Health, Toxicology and Mutagenesis (231 citations). Roy Sabo has collaborated with scholars based in United States, Niger and United Arab Emirates. Frequent co-authors include Steven H. Woolf, Derek A. Chapman, Latoya Hill, Daniel M. Weinberger, Alex H. Krist, Emily B. Zimmerman, William P. Grant, Sebastian T. Tong, Camille J. Hochheimer and Shumei S. Sun. Their work appears in journals such as The Journal of the American Board of Family Medicine, Blood, The Annals of Family Medicine, Biology of Blood and Marrow Transplantation and PEDIATRICS.

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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