J C Swan

14 total papers · 824 total citations
13 papers, 668 citations indexed

About

J C Swan is a scholar working on Infectious Diseases, Epidemiology and Parasitology. According to data from OpenAlex, J C Swan has authored 13 papers receiving a total of 668 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Infectious Diseases, 7 papers in Epidemiology and 4 papers in Parasitology. Recurrent topics in J C Swan's work include HIV/AIDS drug development and treatment (6 papers), Pneumocystis jirovecii pneumonia detection and treatment (6 papers) and Eosinophilic Disorders and Syndromes (2 papers). J C Swan is often cited by papers focused on HIV/AIDS drug development and treatment (6 papers), Pneumocystis jirovecii pneumonia detection and treatment (6 papers) and Eosinophilic Disorders and Syndromes (2 papers). J C Swan collaborates with scholars based in United States, Malaysia and Denmark. J C Swan's co-authors include Joseph A. Kovacs, Henry Masur, Bruce A. Chabner, Carmen J. Allegra, J C Drake, Jane L. Halpern, J E Parrillo, Charles H. Zierdt, Joel Moss and Joseph E. Parrillo and has published in prestigious journals such as Journal of Clinical Investigation, The Journal of Experimental Medicine and The Journal of Immunology.

In The Last Decade

J C Swan

13 papers receiving 629 citations

Author Peers

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

Author Last Decade Papers Cites
J C Swan 495 371 158 143 54 13 668
Barbara Baird 565 1.1× 228 0.6× 27 0.2× 33 0.2× 36 0.7× 11 736
Mark A. Pierce 414 0.8× 328 0.9× 24 0.2× 39 0.3× 61 1.1× 20 768
G T Maine 504 1.0× 248 0.7× 42 0.3× 237 1.7× 187 3.5× 18 768
James P. Lavelle 473 1.0× 440 1.2× 32 0.2× 18 0.1× 43 0.8× 14 733
R. N. MSHANA 344 0.7× 377 1.0× 25 0.2× 36 0.3× 100 1.9× 24 748
J C Voltarelli 400 0.8× 229 0.6× 17 0.1× 108 0.8× 29 0.5× 20 630
Isabelle Durand-Joly 665 1.3× 507 1.4× 24 0.2× 67 0.5× 26 0.5× 27 749
Nicole L. Kushner 446 0.9× 260 0.7× 40 0.3× 41 0.3× 90 1.7× 15 626
Christian Fermér 252 0.5× 202 0.5× 29 0.2× 38 0.3× 206 3.8× 27 719
P. Awuah 560 1.1× 246 0.7× 25 0.2× 19 0.1× 23 0.4× 7 637

Countries citing papers authored by J C Swan

Since Specialization
Citations

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

Fields of papers citing papers by J C Swan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J C Swan. 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 J C Swan. The network helps show where J C Swan may publish in the future.

Co-authorship network of co-authors of J C Swan

This figure shows the co-authorship network connecting the top 25 collaborators of J C Swan. A scholar is included among the top collaborators of J C Swan 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 J C Swan. J C Swan 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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