Markus Wirth

56 papers receiving 775 citations

Markus Wirth's Hit Papers

A distinct stimulatory cDC1 subpopulation amplifies CD8+ T cell responses in tumors for protective anti-cancer immunity 2023 · 154 citations
1540+1+2Years since publication50100150

Peers

Markus Wirth
Comparison fields: 5 of 59
  • Health Informatics 91
  • Otorhinolaryngology 128
  • Physiology 217
  • Oncology 119
  • Immunology 92
Replace Stephanie Ellen Weissinger with:
Stephanie Ellen Weissinger Germany
Guichuan Lai China
Haocheng Tang China
Mitsuo Goto Japan
Pooja Navale United States
Ping Jin China
Tobias F. Dreyer Germany
Dat T. Vo United States
Michele Waters United States
Markus Wirth relative to Stephanie Ellen Weissinger Germany Stephanie Ellen Weissinger's profile →
Citations per field
00.5×5×10×15.2×
Stephanie Ellen Weissinger · 1×
Citations per year

Countries citing papers authored by Markus Wirth

Since Specialization
Citations

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

Fields of papers citing papers by Markus Wirth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A distinct stimulatory cDC1 subpopulation amplifies CD8+ T cell responses in tumors for protective anti-cancer immunity
Hit paper breakdown →
2023154
2 201778
3 202440
4 201736
5 201833
6 201831
7 202431
8 201129
9 201527
10 201626
11 201425
12 201317
13 202417
14 201416
15 202016
16 201815
17 202514
18 202013
19 201612
20 201912

About Markus Wirth

Markus Wirth is a scholar working on Otorhinolaryngology, Health Informatics, Physiology, Oncology and Genetics, having authored 61 papers that have together received 788 indexed citations. Recurring topics across this work include Head and Neck Cancer Studies (27 papers), Obstructive Sleep Apnea Research (9 papers), Artificial Intelligence in Healthcare and Education (6 papers), Cancer Immunotherapy and Biomarkers (4 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (3 papers), AI in cancer detection (3 papers), Lung Cancer Treatments and Mutations (2 papers) and Hearing Loss and Rehabilitation (2 papers). The work is most often cited by research in Health Informatics (91 citations), Otorhinolaryngology (128 citations), Physiology (217 citations), Oncology (119 citations) and Immunology (92 citations). Markus Wirth has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Benedikt Gabriel Hofauer, Clemens Heiser, Murat Baş, Anja Pickhard, Günther M. Edenharter, Guido Piontek, Barbara Wollenberg, Andreas Knopf, Steffi Ulrike Pigorsch and Fabian Stögbauer. Their work appears in journals such as European Archives of Oto-Rhino-Laryngology, British Journal of Cancer, Sleep And Breathing, Cancers and Frontiers in Oncology.

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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