Stephen I. Morse

56 total papers · 2.3k total citations
52 papers, 1.9k citations indexed

About

Stephen I. Morse is a scholar working on Molecular Biology, Microbiology and Infectious Diseases. According to data from OpenAlex, Stephen I. Morse has authored 52 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 16 papers in Microbiology and 8 papers in Infectious Diseases. Recurrent topics in Stephen I. Morse's work include Bacterial Infections and Vaccines (15 papers), Glycosylation and Glycoproteins Research (11 papers) and Immune Response and Inflammation (5 papers). Stephen I. Morse is often cited by papers focused on Bacterial Infections and Vaccines (15 papers), Glycosylation and Glycoproteins Research (11 papers) and Immune Response and Inflammation (5 papers). Stephen I. Morse collaborates with scholars based in United States, Canada and United Kingdom. Stephen I. Morse's co-authors include Zanvil A. Cohn, Jane H. Morse, Richard P. Novick, L. K. Eveland, Bruce Barron, Russell W. Schaedler, James G. Hirsch, Martha E. Fedorko, Maclyn McCarty and Charles W. Parker and has published in prestigious journals such as Nature, New England Journal of Medicine and Journal of Clinical Investigation.

In The Last Decade

Stephen I. Morse

50 papers receiving 1.5k citations

Author Peers

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

Author Last Decade Papers Cites
Stephen I. Morse 644 550 495 334 288 52 1.9k
Oretta Finco 654 1.0× 1.0k 1.8× 400 0.8× 553 1.7× 409 1.4× 48 2.2k
P. C. J. Leijh 526 0.8× 833 1.5× 177 0.4× 320 1.0× 323 1.1× 59 1.9k
Matthew Pollack 686 1.1× 881 1.6× 448 0.9× 406 1.2× 252 0.9× 65 2.2k
M. P. Hazenberg 606 0.9× 612 1.1× 174 0.4× 256 0.8× 270 0.9× 67 2.0k
Linda Johansson 796 1.2× 490 0.9× 440 0.9× 445 1.3× 455 1.6× 72 2.7k
F. Audibert 866 1.3× 884 1.6× 378 0.8× 405 1.2× 204 0.7× 70 2.1k
S Kotani 871 1.4× 1.2k 2.1× 484 1.0× 354 1.1× 181 0.6× 113 2.5k
Maurice Landy 558 0.9× 1.2k 2.2× 251 0.5× 318 1.0× 326 1.1× 78 2.7k
Louis Pillemer 552 0.9× 1.1k 2.0× 166 0.3× 274 0.8× 226 0.8× 54 2.7k
M Parant 804 1.2× 1.5k 2.7× 568 1.1× 483 1.4× 282 1.0× 107 2.7k

Countries citing papers authored by Stephen I. Morse

Since Specialization
Citations

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

Fields of papers citing papers by Stephen I. Morse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen I. Morse

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen I. Morse. A scholar is included among the top collaborators of Stephen I. Morse 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 I. Morse. Stephen I. Morse 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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