Stephan Mathas

5.7k citations
55 papers · 3.2k · h-index 27

Impact in

Papers in

Stephan Mathas

53 papers receiving 3.2k citations

Peers

Stephan Mathas
Comparison fields: 5 of 99
  • Pathology and Forensic Medicine 1.3k
  • Immunology 1.0k
  • Cancer Research 695
  • Oncology 1.2k
  • Genetics 402
Replace Franziska Jundt with:
Franziska Jundt Germany
Antonella Aiello Italy
M Stetler-Stevenson United States
Javeed Iqbal United States
Marco Herling Germany
Norihiko Kawamata Japan
Kunihiko Takeyama United States
Sivasundaram Karnan Japan
Masaaki Higashihara Japan
Paola Ballerini France
Stephan Mathas relative to Franziska Jundt Germany Franziska Jundt's profile →
Citations per field
00.5×1.7×
Franziska Jundt · 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 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002311
2 2002293
3 2001213
4 2002207
5 1999202
6 2004171
7 2004151
8 2003139
9 2005128
10
Anti-CD20- and B-cell receptor-mediated apoptosis: evidence for shared intracellular signaling pathways.
2000127
11 2005110
12 200596
13 201688
14 200884
15 200277
16 200974
17 200273
18 201770
19 201163
20 200859

About Stephan Mathas

Stephan Mathas is a scholar working on Pathology and Forensic Medicine, Oncology, Immunology, Molecular Biology and Cancer Research, having authored 55 papers that have together received 3.2k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (30 papers), NF-κB Signaling Pathways (11 papers), Immune Cell Function and Interaction (9 papers), CAR-T cell therapy research (8 papers), Chronic Lymphocytic Leukemia Research (6 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Lung Cancer Treatments and Mutations (6 papers) and T-cell and Retrovirus Studies (6 papers). The work is most often cited by research in Pathology and Forensic Medicine (1.3k citations), Immunology (1.0k citations), Cancer Research (695 citations), Oncology (1.2k citations) and Genetics (402 citations). Stephan Mathas has collaborated with scholars based in Germany, United States and Norway. Frequent co-authors include Bernd Dörken, Franziska Jundt, Ioannis Anagnostopoulos, Harald Stein, Claus Scheidereit, Kurt Bommert, Martin Janz, Daniel Krappmann, M. Hinz and Reinhold Förster. Their work appears in journals such as Blood, Leukemia, The Journal of Experimental Medicine, Journal of Clinical Oncology and Cell Cycle.

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.

Explore authors with similar magnitude of impact