Markus Hahn

79 papers receiving 2.0k citations

Peers

Markus Hahn
Comparison fields: 5 of 92
  • Cancer Research 489
  • Genetics 321
  • Hematology 325
  • Pathology and Forensic Medicine 427
  • Radiology, Nuclear Medicine and Imaging 415
Replace Christoph E. Heilig with:
Christoph E. Heilig Germany
Isabelle Quintin‐Roué France
Arne Östman Sweden
Jane Starczynski United Kingdom
Thomas Melchardt Austria
Laëtitia Vercellino France
Jerald Z. Gong United States
Céline Pallaud Switzerland
So Young Kang South Korea
Naoki Kanomata Japan
Markus Hahn relative to Christoph E. Heilig Germany Christoph E. Heilig's profile →
Citations per field
00.5×2×3.5×
Christoph E. Heilig · 1×
Citations per year

Countries citing papers authored by Markus Hahn

Since Specialization
Citations

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

Fields of papers citing papers by Markus Hahn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017260
2 2009236
3 2021183
4 2013156
5 202275
6 201566
7 202064
8 202351
9
Intelligent Vacuum-Assisted Biopsy to Identify Breast Cancer Patients With Pathologic Complete Response (ypT0 and ypN0) After Neoadjuvant Systemic Treatment for Omission of Breast and Axillary Surgery
202248
10 202047
11 201246
12 200742
13 201738
14 201835
15 202135
16 201630
17 200828
18 200628
19 201427
20 200825

About Markus Hahn

Markus Hahn is a scholar working on Pathology and Forensic Medicine, Cancer Research, Radiology, Nuclear Medicine and Imaging, Dermatology and Surgery, having authored 84 papers that have together received 2.0k indexed citations. Recurring topics across this work include Breast Lesions and Carcinomas (29 papers), Breast Cancer Treatment Studies (22 papers), Breast Implant and Reconstruction (8 papers), MRI in cancer diagnosis (8 papers), Ultrasound Imaging and Elastography (6 papers), Cancer and Skin Lesions (6 papers), Digital Radiography and Breast Imaging (4 papers) and Eosinophilic Disorders and Syndromes (4 papers). The work is most often cited by research in Cancer Research (489 citations), Genetics (321 citations), Hematology (325 citations), Pathology and Forensic Medicine (427 citations) and Radiology, Nuclear Medicine and Imaging (415 citations). Markus Hahn has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Diethelm R. Wallwiener, Volker F. Duda, Ines Verena Gruber, Annette Staebler, Friedrich Degenhardt, Mathias R. Warm, Monika Nothacker, Ute‐Susann Albert, H. Madjar and Susanne Weinbrenner. Their work appears in journals such as Ultraschall in der Medizin - European Journal of Ultrasound, Cancers, BMC Cancer, Acta Radiologica and Archives of Gynecology and Obstetrics.

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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