Max Schmitt
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
- Biophysics top 5%
- Cell Image Analysis Techniques
Papers in
- Oncology 9
- Cutaneous Melanoma Detection and Management 6
- Peptidase Inhibition and Analysis 2
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- AI in cancer detection 9
- Co-authors
- Titus J. Brinker (9 shared papers)Achim Hekler (7 shared papers)Jochen Utikal (8 shared papers)Stefan Fröhling (5 shared papers)Christof von Kalle (7 shared papers)Wiebke Sondermann (3 shared papers)Eva Krieghoff‐Henning (8 shared papers)Dirk Schadendorf (2 shared papers)
- Journals
- Journal of Medical Internet Research (3 papers)European Journal of Cancer (2 papers)Biological Chemistry (1 paper)Frontiers in Medicine (1 paper)JDDG Journal der Deutschen Dermatologischen Gesellschaft (1 paper)
- Partner nations
- GermanyUnited StatesNetherlands
In The Last Decade
Max Schmitt
15 papers receiving 537 citations
Peers
Comparison fields: 5 of 96
- Health Informatics 74
- Biophysics 62
- Oncology 269
- Artificial Intelligence 276
- Radiology, Nuclear Medicine and Imaging 148
Countries citing papers authored by Max Schmitt
This map shows the geographic impact of Max Schmitt'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 Max Schmitt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Max Schmitt more than expected).
Fields of papers citing papers by Max Schmitt
This network shows the impact of papers produced by Max Schmitt. 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 Max Schmitt. The network helps show where Max Schmitt may publish in the future.
Co-authors
The 25 scholars most cited alongside Max Schmitt, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 184 | |
| 2 | 2020 | 106 | |
| 3 | 2020 | 47 | |
| 4 | 2021 | 46 | |
| 5 | 2021 | 40 | |
| 6 | 2020 | 28 | |
| 7 | 2022 | 23 | |
| 8 | Measurement of plasminogen activator system components in plasma and tumor tissue extracts obtained from patients with breast cancer: an EORTC Receptor and Biomarker Group collaboration. | 2005 | 23 |
| 9 | 2003 | 19 | |
| 10 | 2023 | 13 | |
| 11 | 2021 | 11 | |
| 12 | 2008 | 5 | |
| 13 | 1993 | 2 | |
| 14 | [Flow cytometry DNA analysis of pure cell nuclei from formalin fixed paraffin sections in primary breast cancer: correlation with other prognostic factors]. | 1991 | 1 |
| 15 | Experimental Setup for Investigation and Evaluation of a Mapping and Localization System | 2019 | 1 |
| 16 | 2020 | 0 |
About Max Schmitt
Max Schmitt is a scholar working on Oncology, Artificial Intelligence, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Cancer Research, having authored 16 papers that have together received 549 indexed citations. Recurring topics across this work include AI in cancer detection (9 papers), Cutaneous Melanoma Detection and Management (6 papers), Protease and Inhibitor Mechanisms (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Peptidase Inhibition and Analysis (2 papers), Cell Image Analysis Techniques (2 papers), Renal cell carcinoma treatment (2 papers) and Digital Imaging for Blood Diseases (1 paper). The work is most often cited by research in Health Informatics (74 citations), Biophysics (62 citations), Oncology (269 citations), Artificial Intelligence (276 citations) and Radiology, Nuclear Medicine and Imaging (148 citations). Max Schmitt has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Titus J. Brinker, Achim Hekler, Jochen Utikal, Stefan Fröhling, Christof von Kalle, Wiebke Sondermann, Eva Krieghoff‐Henning, Dirk Schadendorf, Roman C. Maron and Dieter Krahl. Their work appears in journals such as Journal of Medical Internet Research, European Journal of Cancer, Biological Chemistry, Frontiers in Medicine and JDDG Journal der Deutschen Dermatologischen Gesellschaft.
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.