Michael Schäffer
Impact in
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research
- Estrogen and related hormone effects
-
- Lymphoma Diagnosis and Treatment
Papers in
- Genetics 11
- Chronic Lymphocytic Leukemia Research 9
- Glioma Diagnosis and Treatment 2
-
- Lymphoma Diagnosis and Treatment 11
- Co-authors
- Simon Kasif (5 shared papers)John W. Tullai (5 shared papers)Geoffrey M. Cooper (5 shared papers)T. M. Murali (1 shared paper)Yang Su (1 shared paper)Vladimir Pavlović (1 shared paper)Paolo G. V. Martini (1 shared paper)Iris Zamir Jaffe (1 shared paper)
- Journals
- Blood (4 papers)Journal of Biological Chemistry (4 papers)Clinical Cancer Research (3 papers)PLoS ONE (2 papers)Blood Advances (1 paper)
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
Michael Schäffer
34 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 80
- Genetics 166
- Pathology and Forensic Medicine 228
- Oncology 199
- Hematology 97
- Molecular Biology 445
Countries citing papers authored by Michael Schäffer
This map shows the geographic impact of Michael Schäffer'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 Michael Schäffer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Schäffer more than expected).
Fields of papers citing papers by Michael Schäffer
This network shows the impact of papers produced by Michael Schäffer. 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 Michael Schäffer. The network helps show where Michael Schäffer may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Schäffer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 181 | |
| 2 | 2007 | 152 | |
| 3 | 2007 | 151 | |
| 4 | 2003 | 150 | |
| 5 | 2015 | 89 | |
| 6 | 2018 | 87 | |
| 7 | 2004 | 80 | |
| 8 | 2011 | 72 | |
| 9 | 2007 | 68 | |
| 10 | 2019 | 68 | |
| 11 | 2013 | 58 | |
| 12 | 2024 | 45 | |
| 13 | 2008 | 38 | |
| 14 | 2014 | 27 | |
| 15 | 2017 | 26 | |
| 16 | 2022 | 25 | |
| 17 | 2021 | 21 | |
| 18 | 2016 | 17 | |
| 19 | 2020 | 17 | |
| 20 | 2013 | 16 |
About Michael Schäffer
Michael Schäffer is a scholar working on Genetics, Pathology and Forensic Medicine, Cancer Research, Oncology and Molecular Biology, having authored 35 papers that have together received 1.5k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (11 papers), Chronic Lymphocytic Leukemia Research (9 papers), Signaling Pathways in Disease (2 papers), Genomics and Chromatin Dynamics (2 papers), Lung Cancer Treatments and Mutations (2 papers), Glioma Diagnosis and Treatment (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers) and Cancer Genomics and Diagnostics (2 papers). The work is most often cited by research in Genetics (166 citations), Pathology and Forensic Medicine (228 citations), Oncology (199 citations), Hematology (97 citations) and Molecular Biology (445 citations). Michael Schäffer has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Simon Kasif, John W. Tullai, Geoffrey M. Cooper, T. M. Murali, Yang Su, Vladimir Pavlović, Paolo G. V. Martini, Iris Zamir Jaffe, Richard H. Karas and Ulla M. Hansen. Their work appears in journals such as Blood, Journal of Biological Chemistry, Clinical Cancer Research, PLoS ONE and Blood Advances.
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.