Stephan Mathas

6.1k citations
84 papers · 4.8k · 1 hit paper · h-index 35

Impact in

Papers in

Stephan Mathas

83 papers receiving 4.7k citations

Stephan Mathas's Hit Papers

Assessing the efficacy and tolerability of PET-guided BrECADD versus eBEACOPP in advanced-stage, classical Hodgkin lymphoma (HD21): a randomised, multicentre, parallel, open-label, phase 3 trial 2024 · 65 citations
650+1Years since publication204060

Peers

Stephan Mathas
Comparison fields: 5 of 102
  • Pathology and Forensic Medicine 2.0k
  • Immunology 1.3k
  • Oncology 1.6k
  • Cancer Research 769
  • Genetics 544
Replace Vasiliki Leventaki with:
Vasiliki Leventaki United States
Alberto Zamò Italy
Mingzhi Zhang China
Gopesh Srivastava Hong Kong
Franziska Jundt Germany
James G. Karras United States
Lynn C. Moscinski United States
Yoshihiko Hoshida Japan
Alexander Egle Austria
Silke Brüderlein Germany
Stephan Mathas relative to Vasiliki Leventaki United States Vasiliki Leventaki's profile →
Citations per field
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Vasiliki Leventaki · 1×
Citations per year

Countries citing papers authored by Stephan Mathas

Since Specialization
Citations

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

Fields of papers citing papers by Stephan Mathas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Stephan Mathas, 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 Stephan Mathas Line = papers co-authored together Stephan Mathas links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002329
2 2002319
3 2010302
4 2001232
5 1999223
6 2002223
7 2004184
8 2004166
9 2005150
10 2003144
11
Anti-CD20- and B-cell receptor-mediated apoptosis: evidence for shared intracellular signaling pathways.
2000134
12 2014134
13 2020127
14 2005113
15 2005106
16 2016106
17 200893
18 201793
19 200283
20 201483

About Stephan Mathas

Stephan Mathas is a scholar working on Pathology and Forensic Medicine, Immunology, Oncology, Cancer Research and Genetics, having authored 84 papers that have together received 4.8k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (48 papers), Immune Cell Function and Interaction (16 papers), NF-κB Signaling Pathways (11 papers), CAR-T cell therapy research (10 papers), Chronic Lymphocytic Leukemia Research (9 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Epigenetics and DNA Methylation (6 papers) and Lung Cancer Treatments and Mutations (6 papers). The work is most often cited by research in Pathology and Forensic Medicine (2.0k citations), Immunology (1.3k citations), Oncology (1.6k citations), Cancer Research (769 citations) and Genetics (544 citations). Stephan Mathas has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Bernd Dörken, Franziska Jundt, Ioannis Anagnostopoulos, Harald Stein, Claus Scheidereit, Martin Janz, Kurt Bommert, Daniel Krappmann, M. Hinz and Andreas Lietz. Their work appears in journals such as Blood, Leukemia, The Journal of Experimental Medicine, Proceedings of the National Academy of Sciences and Haematologica.

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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