Marc Schmidt‐Supprian

13.3k citations
85 papers · 8.4k indexed · 2 hit papers · h-index 44
Topics
NF-κB Signaling Pathways (34 papers)Immune Cell Function and Interaction (28 papers)T-cell and B-cell Immunology (24 papers)

In The Last Decade

Marc Schmidt‐Supprian

84 papers receiving 8.3k citations

Hit Papers

Regulation of the Germinal Center Response by MicroRNA-1552007202620132019200720234008001.2k

Peers

Marc Schmidt‐Supprian
Comparison fields: 5 of 132
  • Immunology 4.1k
  • Molecular Biology 3.8k
  • Cancer Research 3.2k
  • Oncology 1.3k
  • Epidemiology 584
Replace Li‐Fan Lu with:
Li‐Fan Lu United States
Steven C. Ley United Kingdom
Mark Boothby United States
Shigeki Miyamoto United States
Lawrence M. Pfeffer United States
Hsing-Jien Kung United States
Hailing Hsu United States
Christopher P. Dillon United States
Luis del Peso Spain
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Marc Schmidt‐Supprian relative to Li‐Fan Lu United States Li‐Fan Lu's profile →
Citations per field
00.5×1.6×
Li‐Fan Lu · 1×
Citations per year

Countries citing papers authored by Marc Schmidt‐Supprian

Since Specialization
Citations

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

Fields of papers citing papers by Marc Schmidt‐Supprian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marc Schmidt‐Supprian. 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 Marc Schmidt‐Supprian. The network helps show where Marc Schmidt‐Supprian may publish in the future.

Co-authorship network of co-authors of Marc Schmidt‐Supprian

This figure shows the co-authorship network connecting the top 25 collaborators of Marc Schmidt‐Supprian. A scholar is included among the top collaborators of Marc Schmidt‐Supprian 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 Marc Schmidt‐Supprian. Marc Schmidt‐Supprian 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 0
2 1
3 1
4 9
5 19
6 7
7
Context-Specific Determinants of the Immunosuppressive Tumor Microenvironment in Pancreatic Cancerbreakdown →
111
8 31
9 22
10 10
11 29
12 28
13 14
14 42
15 58
16 82
17 90
18 202
19 34
20 293

About Marc Schmidt‐Supprian

Marc Schmidt‐Supprian is a scholar working on Immunology, Cancer Research and Oncology, having authored 85 papers that have together received 8.4k indexed citations. Recurring topics across this work include NF-κB Signaling Pathways (34 papers), Immune Cell Function and Interaction (28 papers) and T-cell and B-cell Immunology (24 papers). The work is most often cited by research in Cancer Research (3.2k citations), Immunology (4.1k citations) and Molecular Biology (3.8k citations). Marc Schmidt‐Supprian has collaborated with scholars based in Germany, United States and Italy. Frequent co-authors include Klaus Rajewsky, Manolis Pasparakis, Yoshiteru Sasaki, Jeffery L. Kutok, Stefano Casola, Gilles Courtois, Alain Israël, Dinis Pedro Calado, Matthias Mann and Anjana Rao. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.

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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