Tomasz Żal

8.0k citations
70 papers · 5.7k indexed · 2 hit papers · h-index 33
Topics
T-cell and B-cell Immunology (27 papers)Immune Cell Function and Interaction (22 papers)Immunotherapy and Immune Responses (16 papers)

In The Last Decade

Tomasz Żal

70 papers receiving 5.6k citations

Hit Papers

Plasmacytoid dendritic cells sense self-DNA coupled with ...2007202620132019200720094008001.2k

Peers

Tomasz Żal
Comparison fields: 5 of 126
  • Immunology 3.8k
  • Molecular Biology 1.6k
  • Oncology 825
  • Dermatology 552
  • Microbiology 443
Replace C. Garrison Fathman with:
C. Garrison Fathman United States
Philippe Delvenne Belgium
Penelope A. Morel United States
Shannon K. Bromley United States
Hannes Stockinger Austria
Dennis J. Mitchell United States
Tri Giang Phan Australia
Susan O. Sharrow United States
Dominique Blanchard France
Tania H. Watts Canada
Tomasz Żal relative to C. Garrison Fathman United States C. Garrison Fathman's profile →
Citations per field
00.5×1.5×2.5×
C. Garrison Fathman · 1×
Citations per year

Countries citing papers authored by Tomasz Żal

Since Specialization
Citations

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

Fields of papers citing papers by Tomasz Żal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomasz Żal

This figure shows the co-authorship network connecting the top 25 collaborators of Tomasz Żal. A scholar is included among the top collaborators of Tomasz Żal 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 Tomasz Żal. Tomasz Żal 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 2
2 42
3 89
4 213
5 144
6 41
7
Self-RNA–antimicrobial peptide complexes activate human dendritic cells through TLR7 and TLR8breakdown →
560
8 16
9 5
10 112
11 16
12 20
13 87
14 59
15 58
16 44
17 123
18 7
19
Induction of tolerance or (auto) immunity in MHC class II restricted T cells
1
20 10

About Tomasz Żal

Tomasz Żal is a scholar working on Immunology, Biophysics and Structural Biology, having authored 70 papers that have together received 5.7k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (27 papers), Immune Cell Function and Interaction (22 papers) and Immunotherapy and Immune Responses (16 papers). The work is most often cited by research in Immunology (3.8k citations), Microbiology (443 citations) and Dermatology (552 citations). Tomasz Żal has collaborated with scholars based in United States, United Kingdom and Poland. Frequent co-authors include Nicholas R. J. Gascoigne, Michel Gilliet, Brigitta Stockinger, Valeria Facchinetti, Roberto Lande, Bernhard Homey, Josh Gregorio, Malgorzata Anna Zal, Wei Cao and Yong‐Jun Liu. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

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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