Stephan Wienert

9.1k total citations
32 papers, 1.4k citations indexed

About

Stephan Wienert is a scholar working on Immunology, Surgery and Artificial Intelligence. According to data from OpenAlex, Stephan Wienert has authored 32 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Immunology, 8 papers in Surgery and 8 papers in Artificial Intelligence. Recurrent topics in Stephan Wienert's work include AI in cancer detection (8 papers), Immune Cell Function and Interaction (7 papers) and Orthopedic Infections and Treatments (7 papers). Stephan Wienert is often cited by papers focused on AI in cancer detection (8 papers), Immune Cell Function and Interaction (7 papers) and Orthopedic Infections and Treatments (7 papers). Stephan Wienert collaborates with scholars based in Germany, France and Austria. Stephan Wienert's co-authors include Frederick Klauschen, Carsten Denkert, Marc Bajénoff, Audrey Jorquera, Manfred Dietel, Daniel Heim, Jan Budczies, Peter Hufnagl, Isabelle Mondor and Michael Beil and has published in prestigious journals such as The Journal of Experimental Medicine, SHILAP Revista de lepidopterología and Immunity.

In The Last Decade

Stephan Wienert

30 papers receiving 1.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Stephan Wienert Germany 16 545 419 322 233 186 32 1.4k
Altuna Halilović Netherlands 9 395 0.7× 484 1.2× 188 0.6× 208 0.9× 157 0.8× 14 921
Rupert Ecker Austria 22 321 0.6× 793 1.9× 562 1.7× 364 1.6× 163 0.9× 35 2.0k
Panu E. Kovanen Finland 26 755 1.4× 691 1.6× 422 1.3× 627 2.7× 415 2.2× 44 2.3k
Riku Turkki Finland 20 203 0.4× 541 1.3× 551 1.7× 336 1.4× 496 2.7× 35 1.6k
Hanne A. Askautrud Norway 12 256 0.5× 563 1.3× 246 0.8× 317 1.4× 346 1.9× 22 1.3k
Robert J. Marinelli United States 17 333 0.6× 673 1.6× 369 1.1× 477 2.0× 276 1.5× 19 2.1k
Daisuke Komura Japan 18 145 0.3× 306 0.7× 510 1.6× 434 1.9× 402 2.2× 63 1.5k
Balázs Ács Sweden 17 173 0.3× 563 1.3× 436 1.4× 230 1.0× 461 2.5× 50 1.2k
Cindy Franklin Germany 16 259 0.5× 710 1.7× 229 0.7× 221 0.9× 106 0.6× 31 1.1k
Friedrich Feuerhake Germany 21 215 0.4× 395 0.9× 112 0.3× 433 1.9× 133 0.7× 89 1.6k

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
1.
Cabeza-Cabrerizo, Mar, Janneke van Blijswijk, Stephan Wienert, et al.. (2019). Tissue clonality of dendritic cell subsets and emergency DCpoiesis revealed by multicolor fate mapping of DC progenitors. Science Immunology. 4(33). 78 indexed citations
2.
Wienert, Stephan, Dan Cacsire Castillo‐Tong, Caroline Kreuzinger, et al.. (2018). Dynamics of the Intratumoral Immune Response during Progression of High-Grade Serous Ovarian Cancer. Neoplasia. 20(3). 280–288. 20 indexed citations
3.
Denkert, Carsten, Sibylle Loibl, Jan Budczies, Stephan Wienert, & Frederick Klauschen. (2018). Standardisierte Bestimmung tumorinfiltrierender Lymphozyten beim Mammakarzinom: Ein prognostischer Marker für die histologische Diagnostik. Der Pathologe. 39(6). 520–531.
4.
Denkert, Carsten, Sibylle Loibl, Jan Budczies, Stephan Wienert, & Frederick Klauschen. (2018). Standardisierte Bestimmung tumorinfiltrierender Lymphozyten beim Mammakarzinom. Der Pathologe. 39(6). 520–531. 4 indexed citations
5.
6.
Baratin, Myriam, Léa Simon, Audrey Jorquera, et al.. (2017). T Cell Zone Resident Macrophages Silently Dispose of Apoptotic Cells in the Lymph Node. Immunity. 47(2). 349–362.e5. 83 indexed citations
7.
Krenn, Veit, Giorgio Perino, W. Rüther, et al.. (2017). 15 Jahre histopathologischer Synovialitis-Score. Zeitschrift für Rheumatologie. 76(6). 539–546. 1 indexed citations
8.
Krenn, Veit, Giorgio Perino, W. Rüther, et al.. (2017). 15 years of the histopathological synovitis score, further development and review: A diagnostic score for rheumatology and orthopaedics. Pathology - Research and Practice. 213(8). 874–881. 34 indexed citations
9.
Mondor, Isabelle, Audrey Jorquera, Sahil Adriouch, et al.. (2016). Clonal Proliferation and Stochastic Pruning Orchestrate Lymph Node Vasculature Remodeling. Immunity. 45(4). 877–888. 44 indexed citations
10.
Krenn, Veit, et al.. (2016). Histopathologische Diagnostik von Gelenkendoprothesen-assoziierten Erkrankungen. Der Hautarzt. 67(5). 365–372. 5 indexed citations
11.
Krenn, V., M. Huber, A. Tiemann, et al.. (2015). Revisionsendoprothetik. Der Orthopäde. 44(5). 349–356. 2 indexed citations
12.
Wienert, Stephan, Daniel Kendoff, Thorsten Gehrke, et al.. (2015). CD15-Fokus-Score zur Diagnostik der periprothetischen Gelenkinfektion. Zeitschrift für Rheumatologie. 74(7). 622–630. 12 indexed citations
13.
Krenn, Veit, Stephan Wienert, Daniel Kendoff, et al.. (2015). A new algorithm for histopathological diagnosis of periprosthetic infection using CD15 focus score and computer program CD15 Quantifier. SHILAP Revista de lepidopterología. 21(3). 76–85. 3 indexed citations
14.
Sharma, Harshita, Norman Zerbe, Daniel Heim, et al.. (2015). A Multi-resolution Approach for Combining Visual Information using Nuclei Segmentation and Classification in Histopathological Images. 37–46. 46 indexed citations
15.
Klauschen, Frederick, Stephan Wienert, Wolfgang Schmitt, et al.. (2014). Standardized Ki67 Diagnostics Using Automated Scoring—Clinical Validation in the GeparTrio Breast Cancer Study. Clinical Cancer Research. 21(16). 3651–3657. 78 indexed citations
16.
Wienert, Stephan, Daniel Heim, Manato Kotani, et al.. (2013). CognitionMaster: an object-based image analysis framework. Diagnostic Pathology. 8(1). 34–34. 29 indexed citations
17.
Lohneis, Philipp, et al.. (2013). Marginal zone lymphomas with monocytoid morphology express T-bet and are associated with a low number of T cells in extranodal locations. Leukemia & lymphoma. 55(1). 143–148. 1 indexed citations
18.
Ghigo, Clément, Isabelle Mondor, Audrey Jorquera, et al.. (2013). Multicolor fate mapping of Langerhans cell homeostasis. The Journal of Experimental Medicine. 210(9). 1657–1664. 103 indexed citations
19.
Wienert, Stephan, Daniel Heim, Kai Saeger, et al.. (2012). Detection and Segmentation of Cell Nuclei in Virtual Microscopy Images: A Minimum-Model Approach. Scientific Reports. 2(1). 503–503. 170 indexed citations
20.
Wienert, Stephan, Michael Beil, Kai Saeger, Peter Hufnagl, & Thomas Schräder. (2009). Integration and acceleration of virtual microscopy as the key to successful implementation into the routine diagnostic process. Diagnostic Pathology. 4(1). 3–3. 44 indexed citations

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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