John D. Powderly

33.3k citations
155 papers · 7.9k indexed · 4 hit papers · h-index 37
Topics
Cancer Immunotherapy and Biomarkers (103 papers)CAR-T cell therapy research (44 papers)Immunotherapy and Immune Responses (32 papers)
Journals
Journal of Clinical OncologySHILAP Revista de lepidopterologíaThe Journal of Immunology
Partner nations
United StatesFranceSpain

In The Last Decade

John D. Powderly

148 papers receiving 7.8k citations

Hit Papers

Phase I Study of Single-Agent Anti–Programmed Death-1 (MD...2010202620152020201020182019201650010001.5k2.0k

Peers

John D. Powderly
Comparison fields: 5 of 108
  • Oncology 6.5k
  • Immunology 3.5k
  • Pulmonary and Respiratory Medicine 2.2k
  • Molecular Biology 1.4k
  • Cancer Research 665
Replace Reshma Rangwala with:
Reshma Rangwala United States
Florent Petitprez France
Shin Foong Ngiow United States
Helen K. Angell United Kingdom
Marcus O. Butler Canada
Melissa L. Johnson United States
Tracee L. McMiller United States
Peter Savas Australia
Daniela Bruni France
Nicolás A. Giraldo France
John D. Powderly relative to Reshma Rangwala United States Reshma Rangwala's profile →
Citations per field
00.5×3.7×
Reshma Rangwala · 1×
Citations per year

Countries citing papers authored by John D. Powderly

Since Specialization
Citations

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

Fields of papers citing papers by John D. Powderly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John D. Powderly. 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 John D. Powderly. The network helps show where John D. Powderly may publish in the future.

Co-authorship network of co-authors of John D. Powderly

This figure shows the co-authorship network connecting the top 25 collaborators of John D. Powderly. A scholar is included among the top collaborators of John D. Powderly 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 John D. Powderly. John D. Powderly 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 1
4 0
5 9
6 11
7 2
8 31
9 19
10 12
11 54
12 21
13 41
14 63
15 58
16 1
17 45
18 23
19 112
20 29

About John D. Powderly

John D. Powderly is a scholar working on Oncology, Physiology and Immunology, having authored 155 papers that have together received 7.9k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (103 papers), CAR-T cell therapy research (44 papers) and Immunotherapy and Immune Responses (32 papers). The work is most often cited by research in Oncology (6.5k citations), Immunology (3.5k citations) and Pulmonary and Respiratory Medicine (2.2k citations). John D. Powderly has collaborated with scholars based in United States, France and Spain. Frequent co-authors include Julie R. Brahmer, Suzanne L. Topalian, Charles G. Drake, William H. Sharfman, Drew M. Pardoll, Janis M. Taube, Alan J. Korman, Ira Wollner, Joel Picus and Robert A. Anders. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and The Journal of Immunology.

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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