Stephen Furmanek

173 total papers · 2.1k total citations
85 papers, 779 citations indexed

About

Stephen Furmanek is a scholar working on Epidemiology, Infectious Diseases and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Stephen Furmanek has authored 85 papers receiving a total of 779 indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Epidemiology, 21 papers in Infectious Diseases and 12 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Stephen Furmanek's work include Pneumonia and Respiratory Infections (28 papers), Respiratory viral infections research (22 papers) and COVID-19 Clinical Research Studies (9 papers). Stephen Furmanek is often cited by papers focused on Pneumonia and Respiratory Infections (28 papers), Respiratory viral infections research (22 papers) and COVID-19 Clinical Research Studies (9 papers). Stephen Furmanek collaborates with scholars based in United States, Belgium and Argentina. Stephen Furmanek's co-authors include Julio A. Ramírez, Rodrigo Cavallazzi, Timothy L. Wiemken, Ruth Carrico, Forest W. Arnold, Paula Peyrani, William A. Mattingly, Thomas Chandler, Michael S. Niederman and José Bordón and has published in prestigious journals such as Neurology, Scientific Reports and American Journal of Public Health.

In The Last Decade

Stephen Furmanek

77 papers receiving 756 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Stephen Furmanek	420	158	147	106	83	85	779
Michael S. Pulia	231 0.6×	79 0.5×	126 0.9×	123 1.2×	62 0.7×	82	868
Vasileios Karamouzos	280 0.7×	112 0.7×	86 0.6×	84 0.8×	104 1.3×	50	832
E Autret	199 0.5×	173 1.1×	73 0.5×	71 0.7×	87 1.0×	87	904
Kelly Cawcutt	322 0.8×	142 0.9×	189 1.3×	81 0.8×	162 2.0×	53	791
Hoi‐Ping Shum	242 0.6×	113 0.7×	101 0.7×	83 0.8×	112 1.3×	54	650
Joan Sabater‐Riera	181 0.4×	169 1.1×	107 0.7×	79 0.7×	96 1.2×	61	639
Je Eun Song	303 0.7×	102 0.6×	161 1.1×	83 0.8×	51 0.6×	57	872
Subhash Todi	232 0.6×	88 0.6×	155 1.1×	75 0.7×	164 2.0×	56	799
Adrián Ceccato	494 1.2×	225 1.4×	114 0.8×	110 1.0×	228 2.7×	60	801
Kenny Chan	245 0.6×	115 0.7×	183 1.2×	102 1.0×	88 1.1×	31	708

Countries citing papers authored by Stephen Furmanek

Since Specialization

Citations

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

Fields of papers citing papers by Stephen Furmanek

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen Furmanek

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

All Works

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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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