Kurt A. Schalper

24.5k total citations · 9 hit papers
166 papers, 11.2k citations indexed

About

Kurt A. Schalper is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Kurt A. Schalper has authored 166 papers receiving a total of 11.2k indexed citations (citations by other indexed papers that have themselves been cited), including 131 papers in Oncology, 60 papers in Immunology and 45 papers in Molecular Biology. Recurrent topics in Kurt A. Schalper's work include Cancer Immunotherapy and Biomarkers (99 papers), Immunotherapy and Immune Responses (41 papers) and Immune Cell Function and Interaction (18 papers). Kurt A. Schalper is often cited by papers focused on Cancer Immunotherapy and Biomarkers (99 papers), Immunotherapy and Immune Responses (41 papers) and Immune Cell Function and Interaction (18 papers). Kurt A. Schalper collaborates with scholars based in United States, Chile and Spain. Kurt A. Schalper's co-authors include David L. Rimm, Vamsidhar Velcheti, Roy S. Herbst, Anant Madabhushi, Daniel Carvajal‐Hausdorf, Miguel F. Sanmamed, Scott Gettinger, Kaustav Bera, Lieping Chen and Juan C. Sáez and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

In The Last Decade

Kurt A. Schalper

163 papers receiving 11.0k citations

Hit Papers

Artificial intelligence in digital pathology —... 2013 2026 2017 2021 2019 2015 2013 2019 2019 250 500 750

Peers

Kurt A. Schalper
Comparison fields: 5 of 147
  • Oncology 7.0k
  • Immunology 3.4k
  • Pulmonary and Respiratory Medicine 2.9k
  • Molecular Biology 2.7k
  • Cancer Research 1.4k
Replace Chuong D. Hoang with:
Chuong D. Hoang United States
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Chuong D. Hoang United States View profile →
Citations per field, relative to Kurt A. Schalper
Kurt A. Schalper · 1×
Citations per year, relative to Kurt A. Schalper
Kurt A. Schalper · 1×

Countries citing papers authored by Kurt A. Schalper

Since Specialization
Citations

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

Fields of papers citing papers by Kurt A. Schalper

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kurt A. Schalper. 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 Kurt A. Schalper. The network helps show where Kurt A. Schalper may publish in the future.

Co-authorship network of co-authors of Kurt A. Schalper

This figure shows the co-authorship network connecting the top 25 collaborators of Kurt A. Schalper. A scholar is included among the top collaborators of Kurt A. Schalper 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 Kurt A. Schalper. Kurt A. Schalper 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 5
2 4
3 2
4 2
5
The β1-adrenergic receptor links sympathetic nerves to T cell exhaustion breakdown →
124
6 23
7 26
8 42
9 83
10 225
11 40
12
Immunotherapy in Non–Small Cell Lung Cancer: Facts and Hopes breakdown →
470
13 162
14 108
15 162
16 198
17 160
18 129
19 312
20 28

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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