John Scholler

13.8k citations
68 papers · 7.0k indexed · 7 hit papers · h-index 29

John Scholler

63 papers receiving 6.9k citations

Hit Papers

Desmoplastic stro...1292012202620162021250500750

Peers

John Scholler
Comparison fields: 5 of 96
  • Oncology 5.5k
  • Immunology 2.6k
  • Genetics 1.7k
  • Biomedical Engineering 1.7k
  • Molecular Biology 2.3k
Replace Steven A. Feldman with:
Steven A. Feldman United States
Stephen Gottschalk United States
Omkar U. Kawalekar United States
Martin Pulé United Kingdom
Hinrich Abken Germany
Carmine Carpenito United States
Rimas J. Orentas United States
Winfried S. Wels Germany
Zhili Zheng United States
Isabelle Rivière United States
John Scholler relative to Steven A. Feldman United States Steven A. Feldman's profile →
Citations per field
00.5×1.5×1.8×
Steven A. Feldman · 1×
Citations per year

Countries citing papers authored by John Scholler

Since Specialization
Citations

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

Fields of papers citing papers by John Scholler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside John Scholler, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with John Scholler Line = papers co-authored together John Scholler links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 202424
3 20241
4 202419
5 202327
6 202234
7 202173
8 202113
9 202072
10 202014
11 2018212
12 2018215
13 2015233
14 2014344
15 2014363
16
Targeting Fibroblast Activation Protein in Tumor Stroma with Chimeric Antigen Receptor T Cells Can Inhibit Tumor Growth and Augment Host Immunity without Severe Toxicitybreakdown →
2013515
17 2010366
18 200940
19 1998131
20 199716

About John Scholler

John Scholler is a scholar working on Oncology, Immunology, Genetics, Immunology and Allergy and Molecular Biology, having authored 68 papers that have together received 7.0k indexed citations. Recurring topics across this work include CAR-T cell therapy research (49 papers), Virus-based gene therapy research (14 papers), Immune Cell Function and Interaction (13 papers), Viral Infectious Diseases and Gene Expression in Insects (10 papers), CRISPR and Genetic Engineering (9 papers), T-cell and B-cell Immunology (9 papers), Trypanosoma species research and implications (8 papers) and Research on Leishmaniasis Studies (7 papers). The work is most often cited by research in Oncology (5.5k citations), Immunology (2.6k citations), Genetics (1.7k citations), Biomedical Engineering (1.7k citations) and Molecular Biology (2.3k citations). John Scholler has collaborated with scholars based in United States, Finland and Slovakia. Frequent co-authors include Carl H. June, Brian Keith, Sònia Guedan, Avery D. Posey, Steven Μ. Albelda, Shannon E. McGettigan, Michael C. Milone, Yangbing Zhao, Omkar U. Kawalekar and Prachi Patel. Their work appears in journals such as Blood, Molecular and Biochemical Parasitology, Proceedings of the National Academy of Sciences, Cancer Immunology Research and Cancer Research.

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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