Philip Scuderi

2.5k total citations
69 papers, 2.1k citations indexed

About

Philip Scuderi is a scholar working on Immunology, Molecular Biology and Surgery. According to data from OpenAlex, Philip Scuderi has authored 69 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Immunology, 16 papers in Molecular Biology and 9 papers in Surgery. Recurrent topics in Philip Scuderi's work include Immune Response and Inflammation (13 papers), Immune Cell Function and Interaction (12 papers) and Immunotherapy and Immune Responses (9 papers). Philip Scuderi is often cited by papers focused on Immune Response and Inflammation (13 papers), Immune Cell Function and Interaction (12 papers) and Immunotherapy and Immune Responses (9 papers). Philip Scuderi collaborates with scholars based in United States, Canada and Japan. Philip Scuderi's co-authors include Ronald R. Watson, Bernhard Watzl, Eskild Petersen, C. George Ray, Richard Reed, Arshag D. Mooradian, Anita S. Chong, Arthur Raitano, Dan Osterweil and Murray Korc and has published in prestigious journals such as The Lancet, Journal of Clinical Oncology and Blood.

In The Last Decade

Philip Scuderi

68 papers receiving 2.0k citations

Peers

Philip Scuderi
Comparison fields: 5 of 112
  • Immunology 653
  • Molecular Biology 407
  • Surgery 278
  • Epidemiology 261
  • Oncology 225
Replace A. D. Dayan with:
A. D. Dayan United Kingdom
Maarten Helle Netherlands
Susumu Ohkawara Japan
H. W. Löms Ziegler‐Heitbrock Germany
Takao Okubo Japan
Anne Delvaux Belgium
Stefan Dunzendorfer Austria
Cornelia Platzer Germany
Charles A. Dinarello United States
J W Mier United States
A. D. Dayan United Kingdom View profile →
Citations per field, relative to Philip Scuderi
Philip Scuderi · 1×
Citations per year, relative to Philip Scuderi
Philip Scuderi · 1×

Countries citing papers authored by Philip Scuderi

Since Specialization
Citations

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

Fields of papers citing papers by Philip Scuderi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philip Scuderi

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 20
2 17
3 5
4 9
5 53
6 109
7 19
8 11
9 6
10 17
11 77
12 7
13 40
14 45
15 16
16 20
17 6
18 99
19 29
20 29

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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