Scott J. Diede

6.5k citations
67 papers · 4.3k indexed · 2 hit papers · h-index 24
Topics
Cancer Immunotherapy and Biomarkers (36 papers)CAR-T cell therapy research (35 papers)Melanoma and MAPK Pathways (20 papers)

In The Last Decade

Scott J. Diede

61 papers receiving 4.2k citations

Hit Papers

Oncolytic Virotherapy Promotes Intratumoral T Cell Infilt...2017202620202023201720192505007501000

Peers

Scott J. Diede
Comparison fields: 5 of 95
  • Oncology 2.5k
  • Molecular Biology 1.9k
  • Immunology 1.3k
  • Genetics 710
  • Physiology 487
Replace Yoko Oei with:
Yoko Oei United States
Monica Gostissa United States
Michael P. Cooke United States
Camille Guillerey Australia
Ralph Meuwissen Netherlands
Andrew Deonarine United States
Dirce Maria Carraro Brazil
Issay Kitabayashi Japan
Carolyn Brokowski United States
Edwin J. Ostrin United States
Scott J. Diede relative to Yoko Oei United States Yoko Oei's profile →
Citations per field
00.5×4.2×
Yoko Oei · 1×
Citations per year

Countries citing papers authored by Scott J. Diede

Since Specialization
Citations

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

Fields of papers citing papers by Scott J. Diede

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Scott J. Diede

This figure shows the co-authorship network connecting the top 25 collaborators of Scott J. Diede. A scholar is included among the top collaborators of Scott J. Diede 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 Scott J. Diede. Scott J. Diede 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
#WorkIndexed citations
1 0
2 1
3 2
4 4
5 19
6 111
7 19
8 18
9 208
10
Epacadostat plus pembrolizumab versus placebo plus pembrolizumab in patients with unresectable or metastatic melanoma (ECHO-301/KEYNOTE-252): a phase 3, randomised, double-blind studybreakdown →
703
11 99
12 27
13 336
14 13
15 16
16 52
17 28
18 23
19 121
20 319

About Scott J. Diede

Scott J. Diede is a scholar working on Oncology, Aging and Biotechnology, having authored 67 papers that have together received 4.3k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (36 papers), CAR-T cell therapy research (35 papers) and Melanoma and MAPK Pathways (20 papers). The work is most often cited by research in Oncology (2.5k citations), Biological Psychiatry (225 citations) and Aging (136 citations). Scott J. Diede has collaborated with scholars based in United States, Australia and France. Frequent co-authors include Daniel E. Gottschling, Georgina V. Long, Reinhard Dummer, Thomas F. Gajewski, Antoni Ribas, F. Stephen Hodi, Omid Hamid, Caroline Robert, James R. Anderson and Olivier Michielin. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and The Lancet.

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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