Rafał Pacholczyk

1.8k total citations
33 papers, 1.3k citations indexed

About

Rafał Pacholczyk is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Rafał Pacholczyk has authored 33 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Immunology, 7 papers in Molecular Biology and 5 papers in Oncology. Recurrent topics in Rafał Pacholczyk's work include Immune Cell Function and Interaction (17 papers), Immunotherapy and Immune Responses (15 papers) and T-cell and B-cell Immunology (14 papers). Rafał Pacholczyk is often cited by papers focused on Immune Cell Function and Interaction (17 papers), Immunotherapy and Immune Responses (15 papers) and T-cell and B-cell Immunology (14 papers). Rafał Pacholczyk collaborates with scholars based in United States, Poland and China. Rafał Pacholczyk's co-authors include Leszek Ignatowicz, Piotr Kraj, Makio Iwashima, Nagendra Singh, E Kushnir, William A. Rees, Philippa Marrack, John W. Kappler, David H. Munn and Mark W. Hamrick and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Circulation and The Journal of Experimental Medicine.

In The Last Decade

Rafał Pacholczyk

31 papers receiving 1.3k citations

Peers

Rafał Pacholczyk
Comparison fields: 5 of 91
  • Immunology 961
  • Molecular Biology 323
  • Oncology 220
  • Cancer Research 129
  • Biological Psychiatry 70
Replace Shoko Kuroda with:
Shoko Kuroda Japan
Laura Codarri Deak Switzerland
Elisa Apolloni Italy
Paola Bernabei Italy
Hui Hu United States
Francesca Sozio Italy
Raphaël Zollinger France
Takatoku Oida Japan
Taras T. Antoniv United States
Lauren M. Lepone United States
Shoko Kuroda Japan View profile →
Citations per field, relative to Rafał Pacholczyk
Rafał Pacholczyk · 1×
Citations per year, relative to Rafał Pacholczyk
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Countries citing papers authored by Rafał Pacholczyk

Since Specialization
Citations

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

Fields of papers citing papers by Rafał Pacholczyk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rafał Pacholczyk

This figure shows the co-authorship network connecting the top 25 collaborators of Rafał Pacholczyk. A scholar is included among the top collaborators of Rafał Pacholczyk 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 Rafał Pacholczyk. Rafał Pacholczyk 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 1
2 0
3 1
4 5
5 4
6 56
7 73
8 21
9 86
10 2
11 10
12 5
13 41
14 61
15 163
16 246
17 80
18 16
19 10
20 100

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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