S. M. Eschmann

1.3k citations
17 papers · 1.0k indexed · h-index 9

Impact in

Papers in

S. M. Eschmann

17 papers receiving 1.0k citations

Peers

S. M. Eschmann
Comparison fields: 5 of 60
  • Radiology, Nuclear Medicine and Imaging 813
  • Cancer Research 470
  • Otorhinolaryngology 127
  • Radiation 231
  • Pulmonary and Respiratory Medicine 349
Replace Stefan Welz with:
Stefan Welz Germany
Rosalind Perrin Switzerland
David Mönnich Germany
Horst Jürgen Feldmann Germany
Steffen Appold Germany
L.A.M. Pop Netherlands
Sebastian Zschaeck Germany
Eric D. Donnelly United States
Kasper Toustrup Denmark
Jochen Willner Germany
S. M. Eschmann relative to Stefan Welz Germany Stefan Welz's profile →
Citations per field
00.5×1.5×
Stefan Welz · 1×
Citations per year

Countries citing papers authored by S. M. Eschmann

Since Specialization
Citations

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

Fields of papers citing papers by S. M. Eschmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. M. Eschmann. 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 S. M. Eschmann. The network helps show where S. M. Eschmann may publish in the future.

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 20102
2 2007235
3 200763
4 20077
5 200745
6 20072
7 2006127
8 20063
9 200610
10 2005140
11 200510
12 200580
13
Prognostic impact of hypoxia imaging with 18F-misonidazole PET in non-small cell lung cancer and head and neck cancer before radiotherapy.
2005315
14 20041
15 20033
16 20031
17 20021

About S. M. Eschmann

S. M. Eschmann is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation, Cancer Research, Pulmonary and Respiratory Medicine and Otorhinolaryngology, having authored 17 papers that have together received 1.0k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (10 papers), Cancer, Hypoxia, and Metabolism (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Lung Cancer Diagnosis and Treatment (4 papers), Advanced Radiotherapy Techniques (4 papers), Medical Imaging and Pathology Studies (4 papers), Lung Cancer Treatments and Mutations (2 papers) and Pancreatic and Hepatic Oncology Research (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (813 citations), Cancer Research (470 citations), Otorhinolaryngology (127 citations), Radiation (231 citations) and Pulmonary and Respiratory Medicine (349 citations). S. M. Eschmann has collaborated with scholars based in Germany, Switzerland and Canada. Frequent co-authors include Frank Paulsen, M. Alber, Daniela Thorwarth, Helmut Dittmann, Matthias Reimold, Roland Bares, Gerald Reischl, Hans-Juergen Machulla, Stefan Welz and Jutta Scheiderbauer. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, European Journal of Nuclear Medicine and Molecular Imaging, Nuklearmedizin - NuclearMedicine, Radiotherapy and Oncology and BMC Cancer.

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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