Torsten Mattfeldt

5.7k citations
130 papers · 4.4k indexed · h-index 34

Impact in

Papers in

Torsten Mattfeldt

130 papers receiving 4.3k citations

Peers

Torsten Mattfeldt
Comparison fields: 5 of 166
  • Radiology, Nuclear Medicine and Imaging 1.1k
  • Cancer Research 678
  • Oncology 1.0k
  • Applied Mathematics 321
  • Pathology and Forensic Medicine 538
Replace Takeshi Sasaki with:
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Torsten Mattfeldt relative to Takeshi Sasaki Japan Takeshi Sasaki's profile →
Citations per field
00.5×6.4×
Takeshi Sasaki · 1×
Citations per year

Countries citing papers authored by Torsten Mattfeldt

Since Specialization
Citations

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

Fields of papers citing papers by Torsten Mattfeldt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201218
2 20065
3 2006227
4 200412
5 200114
6 200016
7 199952
8
Stereological and morphometric studies of mammalian myocardium: a review
19984
9 199820
10 199840
11 199713
12 199664
13 199643
14
Second-order stereology of prostatic adenocarcinoma and normal prostatic tissue
199310
15 19939
16 199220
17 199123
18 199133
19 199038
20
Different stereological reaction patterns of the myocardium in hypertrophy induced by exercise and pressure overload
19853

About Torsten Mattfeldt

Torsten Mattfeldt is a scholar working on Geometry and Topology, Applied Mathematics, Anatomy, Pathology and Forensic Medicine and Oncology, having authored 130 papers that have together received 4.4k indexed citations. Recurring topics across this work include Morphological variations and asymmetry (21 papers), Point processes and geometric inequalities (18 papers), Pancreatic and Hepatic Oncology Research (10 papers), Lymphoma Diagnosis and Treatment (9 papers), AI in cancer detection (8 papers), Medical Imaging Techniques and Applications (8 papers), Medical Image Segmentation Techniques (7 papers) and Pancreatitis Pathology and Treatment (7 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.1k citations), Cancer Research (678 citations), Oncology (1.0k citations), Applied Mathematics (321 citations) and Pathology and Forensic Medicine (538 citations). Torsten Mattfeldt has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include G. Mall, Peter Möller, Holger Schirrmeister, Sven N. Reske, Andreas K. Buck, Gerhard Mall, Gerhard Glatting, Bernd Neumaier, G. Halter and Martin Hetzel. Their work appears in journals such as Journal of Microscopy, Image Analysis & Stereology, Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin, International Journal of Cancer and European Journal of Nuclear Medicine and Molecular Imaging.

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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