Robin Gasiorowski

1.5k total citations
28 papers, 266 citations indexed

About

Robin Gasiorowski is a scholar working on Pathology and Forensic Medicine, Oncology and Hematology. According to data from OpenAlex, Robin Gasiorowski has authored 28 papers receiving a total of 266 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Pathology and Forensic Medicine, 15 papers in Oncology and 6 papers in Hematology. Recurrent topics in Robin Gasiorowski's work include Lymphoma Diagnosis and Treatment (14 papers), CAR-T cell therapy research (10 papers) and Cancer Immunotherapy and Biomarkers (6 papers). Robin Gasiorowski is often cited by papers focused on Lymphoma Diagnosis and Treatment (14 papers), CAR-T cell therapy research (10 papers) and Cancer Immunotherapy and Biomarkers (6 papers). Robin Gasiorowski collaborates with scholars based in Australia, Canada and United States. Robin Gasiorowski's co-authors include Georgina J. Clark, Derek N.J. Hart, Kenneth F. Bradstock, Xinsheng Ju, Stephen Larsen, P. Joy Ho, Harry Iland, Edward Abadir, John Kuruvilla and Pablo A. Silveira and has published in prestigious journals such as Journal of Clinical Oncology, Blood and PLoS ONE.

In The Last Decade

Robin Gasiorowski

27 papers receiving 261 citations

Peers

Robin Gasiorowski
Comparison fields: 5 of 65
  • Oncology 95
  • Immunology 86
  • Pathology and Forensic Medicine 78
  • Hematology 58
  • Genetics 43
Replace Candice Limper with:
Candice Limper United States
Yajing Huang China
Vivien Mak China
Daigo Akahane Japan
Fengqi Chang United States
Shenmiao Yang China
Paige M. Bracci United States
Kaiyang Ding China
M. Maynadié France
Mathieu Simonin France
Candice Limper United States View profile →
Citations per field, relative to Robin Gasiorowski
Robin Gasiorowski · 1×
Citations per year, relative to Robin Gasiorowski
Robin Gasiorowski · 1×

Countries citing papers authored by Robin Gasiorowski

Since Specialization
Citations

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

Fields of papers citing papers by Robin Gasiorowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robin Gasiorowski

This figure shows the co-authorship network connecting the top 25 collaborators of Robin Gasiorowski. A scholar is included among the top collaborators of Robin Gasiorowski 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 Robin Gasiorowski. Robin Gasiorowski 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 2
2 0
3 3
4 1
5 9
6 26
7 2
8 7
9 13
10 23
11 8
12 2
13 7
14 9
15 23
16 7
17 1
18 5
19 15
20 24

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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