Stephan Wienert

9.1k citations
32 papers · 1.4k indexed · h-index 16
Topics
AI in cancer detection (8 papers)Immune Cell Function and Interaction (7 papers)Orthopedic Infections and Treatments (7 papers)
Journals
The Journal of Experimental MedicineSHILAP Revista de lepidopterologíaImmunity
Partner nations
GermanyFranceAustria

In The Last Decade

Stephan Wienert

30 papers receiving 1.4k citations

Peers

Stephan Wienert
Comparison fields: 5 of 112
  • Immunology 545
  • Oncology 419
  • Artificial Intelligence 322
  • Molecular Biology 233
  • Radiology, Nuclear Medicine and Imaging 186
Replace Robert J. Marinelli with:
Robert J. Marinelli United States
Panu E. Kovanen Finland
Rupert Ecker Austria
Travis J. Hollmann United States
Altuna Halilović Netherlands
Margaret Guo United States
Hanne A. Askautrud Norway
Anna Melissa Schlitter Germany
Daisuke Komura Japan
Riku Turkki Finland
Stephan Wienert relative to Robert J. Marinelli United States Robert J. Marinelli's profile →
Citations per field
00.5×1.6×
Robert J. Marinelli · 1×
Citations per year

Countries citing papers authored by Stephan Wienert

Since Specialization
Citations

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

Fields of papers citing papers by Stephan Wienert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephan Wienert

This figure shows the co-authorship network connecting the top 25 collaborators of Stephan Wienert. A scholar is included among the top collaborators of Stephan Wienert 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 Stephan Wienert. Stephan Wienert 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 78
2 20
3
Standardisierte Bestimmung tumorinfiltrierender Lymphozyten beim Mammakarzinom: Ein prognostischer Marker für die histologische Diagnostik
0
4 4
5 6
6 83
7 1
8 34
9 44
10 5
11 2
12 12
13 3
14 46
15 78
16 29
17 1
18 103
19 170
20 44

About Stephan Wienert

Stephan Wienert is a scholar working on Biophysics, Immunology and Cancer Research, having authored 32 papers that have together received 1.4k indexed citations. Recurring topics across this work include AI in cancer detection (8 papers), Immune Cell Function and Interaction (7 papers) and Orthopedic Infections and Treatments (7 papers). The work is most often cited by research in Immunology (545 citations), Biophysics (142 citations) and Oncology (419 citations). Stephan Wienert has collaborated with scholars based in Germany, France and Austria. Frequent co-authors include Frederick Klauschen, Carsten Denkert, Marc Bajénoff, Audrey Jorquera, Manfred Dietel, Daniel Heim, Jan Budczies, Peter Hufnagl, Isabelle Mondor and Michael Beil. Their work appears in journals such as The Journal of Experimental Medicine, SHILAP Revista de lepidopterología and Immunity.

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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