Micha David Eichmann
Impact in
- Oncology top 10%
- Pancreatic and Hepatic Oncology Research
- Cancer Cells and Metastasis
- Cancer Immunotherapy and Biomarkers
- Colorectal Cancer Treatments and Studies
- Colorectal Cancer Surgical Treatments
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- Circadian rhythm and melatonin
Papers in
- Oncology 3
- Pancreatic and Hepatic Oncology Research 2
- Colorectal Cancer Treatments and Studies 1
- Inflammatory Biomarkers in Disease Prognosis 1
- Colorectal Cancer Surgical Treatments 1
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- Genetic factors in colorectal cancer 1
- Co-authors
- Inti Zlobec (3 shared papers)Erik Vassella (1 shared paper)Serenella Eppenberger‐Castori (1 shared paper)Aurel A. Perren (1 shared paper)Luigi Maria TERRACCIANO (1 shared paper)Eva Karamitopoulou (1 shared paper)Martin Wartenberg (1 shared paper)Beat Gloor (1 shared paper)
- Journals
- Clinical Cancer Research (1 paper)Clinical Epigenetics (1 paper)BMC Evolutionary Biology (1 paper)Histopathology (1 paper)Cell (1 paper)
- Partner nations
- SwitzerlandUnited StatesGermany
In The Last Decade
Micha David Eichmann
5 papers receiving 403 citations
Peers
Comparison fields: 5 of 37
- Oncology 233
- Endocrine and Autonomic Systems 11
- Ecology, Evolution, Behavior and Systematics 31
- Cancer Research 22
- Pathology and Forensic Medicine 24
Countries citing papers authored by Micha David Eichmann
This map shows the geographic impact of Micha David Eichmann'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 Micha David Eichmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Micha David Eichmann more than expected).
Fields of papers citing papers by Micha David Eichmann
This network shows the impact of papers produced by Micha David Eichmann. 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 Micha David Eichmann. The network helps show where Micha David Eichmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Micha David Eichmann, 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 | 2018 | 161 | |
| 2 | 2019 | 127 | |
| 3 | 2018 | 54 | |
| 4 | 2014 | 40 | |
| 5 | 2019 | 23 |
About Micha David Eichmann
Micha David Eichmann is a scholar working on Oncology, Pathology and Forensic Medicine, Ecology, Evolution, Behavior and Systematics, Molecular Biology and Nuclear Energy and Engineering, having authored 5 papers that have together received 405 indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (2 papers), Animal Behavior and Reproduction (1 paper), Epigenetics and DNA Methylation (1 paper), Colorectal Cancer Treatments and Studies (1 paper), Inflammatory Biomarkers in Disease Prognosis (1 paper), Colorectal Cancer Surgical Treatments (1 paper) and Genetic factors in colorectal cancer (1 paper). The work is most often cited by research in Oncology (233 citations), Endocrine and Autonomic Systems (11 citations), Ecology, Evolution, Behavior and Systematics (31 citations), Cancer Research (22 citations) and Pathology and Forensic Medicine (24 citations). Micha David Eichmann has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Inti Zlobec, Erik Vassella, Serenella Eppenberger‐Castori, Aurel A. Perren, Luigi Maria TERRACCIANO, Eva Karamitopoulou, Martin Wartenberg, Beat Gloor, Mathias Worni and Lukas Schärer. Their work appears in journals such as Clinical Cancer Research, Clinical Epigenetics, BMC Evolutionary Biology, Histopathology and Cell.
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.