Paul Sufka

3.4k total citations
9 papers, 209 citations indexed

About

Paul Sufka is a scholar working on Infectious Diseases, Rehabilitation and Oncology. According to data from OpenAlex, Paul Sufka has authored 9 papers receiving a total of 209 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Infectious Diseases, 3 papers in Rehabilitation and 3 papers in Oncology. Recurrent topics in Paul Sufka's work include COVID-19 Clinical Research Studies (3 papers), Musculoskeletal Disorders and Rehabilitation (3 papers) and COVID-19 and healthcare impacts (3 papers). Paul Sufka is often cited by papers focused on COVID-19 Clinical Research Studies (3 papers), Musculoskeletal Disorders and Rehabilitation (3 papers) and COVID-19 and healthcare impacts (3 papers). Paul Sufka collaborates with scholars based in United States, Australia and New Zealand. Paul Sufka's co-authors include Suleman Bhana, Philip C. Robinson, Jonathan S. Hausmann, Zachary S. Wallace, Emily Sirotich, Jinoos Yazdany, Rebecca Grainger, Pedro Machado, Jean W. Liew and Wendy Costello and has published in prestigious journals such as SHILAP Revista de lepidopterología, Annals of the Rheumatic Diseases and Lara D. Veeken.

In The Last Decade

Paul Sufka

9 papers receiving 201 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Paul Sufka United States	6	133	63	51	39	34	9	209
Suleman Bhana United States	6	134 1.0×	65 1.0×	51 1.0×	40 1.0×	35 1.0×	9	209
Miriam Retuerto Spain	5	186 1.4×	90 1.4×	73 1.4×	46 1.2×	49 1.4×	7	262
Zhihua Wang China	7	208 1.6×	71 1.1×	14 0.3×	8 0.2×	29 0.9×	14	262
Ana Karla Guedes de Melo Brazil	6	87 0.7×	39 0.6×	6 0.1×	15 0.4×	15 0.4×	13	169
Xabier Michelena Spain	7	76 0.6×	31 0.5×	32 0.6×	82 2.1×	17 0.5×	23	247
Maria Ibarra United States	10	40 0.3×	9 0.1×	14 0.3×	84 2.2×	13 0.4×	27	275
Fatemah Abutiban Kuwait	7	29 0.2×	10 0.2×	5 0.1×	33 0.8×	14 0.4×	19	140
L. Puig Spain	8	57 0.4×	7 0.1×	140 2.7×	45 1.2×	16 0.5×	18	320
Charlotte Nazon France	5	167 1.3×	73 1.2×	4 0.1×	8 0.2×	21 0.6×	6	239
Samuel Nm India	10	187 1.4×	40 0.6×	10 0.2×	26 0.7×	11 0.3×	23	310

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-authorship network of co-authors of Paul Sufka

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

All Works

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9 of 9 papers shown

Dalbeth, Nicola, Amy Cooper, Suleman Bhana, et al.. (2023). Omicron variant infection in inflammatory rheumatological conditions – outcomes from a COVID-19 naive population in Aotearoa New Zealand. The Lancet Regional Health - Western Pacific. 38. 100843–100843. 1 indexed citations

Gianfrancesco, Milena, Zara Izadi, Claire Harrison, et al.. (2020). 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. Arthritis & Rheumatism. 72. 3–3. 1 indexed citations

Gianfrancesco, Milena, Kimme L Hyrich, Laure Gossec, et al.. (2020). Rheumatic disease and COVID-19: initial data from the COVID-19 Global Rheumatology Alliance provider registries. The Lancet Rheumatology. 2(5). e250–e253. 133 indexed citations

Hausmann, Jonathan S., Paul Sufka, Suleman Bhana, et al.. (2020). Conducting research in a pandemic: The power of social media. SHILAP Revista de lepidopterología. 7(2). S85–S88. 8 indexed citations

Liew, Jean W., Suleman Bhana, Wendy Costello, et al.. (2020). The COVID-19 Global Rheumatology Alliance: evaluating the rapid design and implementation of an international registry against best practice. Lara D. Veeken. 60(1). 353–358. 22 indexed citations

Wallace, Zachary S., Suleman Bhana, Jonathan S. Hausmann, et al.. (2020). The Rheumatology Community responds to the COVID-19 pandemic: the establishment of the COVID-19 global rheumatology alliance. Lara D. Veeken. 59(6). 1204–1206. 22 indexed citations

Venuturupalli, Swamy, Paul Sufka, & Suleman Bhana. (2018). Digital Medicine in Rheumatology. Rheumatic Disease Clinics of North America. 45(1). 113–126. 13 indexed citations

Collins, Christopher, et al.. (2018). AB1385 #rheumjc: 3 year analysis of a twitter based rheumatology journal club. Annals of the Rheumatic Diseases. 77. 1777–1777. 6 indexed citations

Navaravong, Leenhapong, et al.. (2009). An obscuring cause of wide-anion-gap metabolic acidosis in alcoholic patient: an interesting case. Journal of the Royal Society of Medicine. 102(7). 294–295. 3 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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