Paul Sufka

3.4k citations
9 papers · 209 · h-index 6

Impact in

    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 and COVID-19 Research
  • Dermatology top 10%
    • Dermatological and COVID-19 studies

Papers in

Paul Sufka

9 papers receiving 201 citations

Peers

Paul Sufka
Comparison fields: 5 of 51
  • Infectious Diseases 133
  • Dermatology 51
  • Neurology 63
  • Hematology 39
  • Health 22
Replace Suleman Bhana with:
Suleman Bhana United States
Miriam Retuerto Spain
Zhihua Wang China
Ana Karla Guedes de Melo Brazil
Xabier Michelena Spain
Fatemah Abutiban Kuwait
Mathilde Goudot France
Maria Ibarra United States
Samuel Nm India
Charlotte Nazon France
Paul Sufka relative to Suleman Bhana United States Suleman Bhana's profile →
Citations per field
00.5×1.5×
Suleman Bhana · 1×
Citations per year

Countries citing papers authored by Paul Sufka

Since Specialization
Citations

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

Fields of papers citing papers by Paul Sufka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2020133
2 202022
3 202022
4 201813
5 20208
6 20186
7 20093
8
Race/ethnicity Is Associated with Poor Health Outcomes Amongst Rheumatic Disease Patients Diagnosed with COVID-19 in the US: Data from the COVID-19 Global Rheumatology Alliance Physician-Reported Registry
20201
9 20231

About Paul Sufka

Paul Sufka is a scholar working on Infectious Diseases, Rehabilitation, Oncology, Health and Neurology, having authored 9 papers that have together received 209 indexed citations. Recurring topics across this work include Musculoskeletal Disorders and Rehabilitation (3 papers), COVID-19 and healthcare impacts (3 papers), COVID-19 Clinical Research Studies (3 papers), Autoimmune and Inflammatory Disorders Research (2 papers), Social Media in Health Education (2 papers), COVID-19 diagnosis using AI (1 paper), Alcohol Consumption and Health Effects (1 paper) and SARS-CoV-2 and COVID-19 Research (1 paper). The work is most often cited by research in Infectious Diseases (133 citations), Dermatology (51 citations), Neurology (63 citations), Hematology (39 citations) and Health (22 citations). Paul Sufka has collaborated with scholars based in United States, Australia and New Zealand. Frequent co-authors include Suleman Bhana, Rebecca Grainger, Jinoos Yazdany, Emily Sirotich, Zachary S. Wallace, Jonathan S. Hausmann, Philip C. Robinson, Pedro Machado, Jean W. Liew and Wendy Costello. Their work appears in journals such as Lara D. Veeken, Journal of the Royal Society of Medicine, Annals of the Rheumatic Diseases, The Lancet Regional Health - Western Pacific and Rheumatic Disease Clinics of North America.

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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