Michael Baudis
Impact in
- Genetics top 2%
- Genomic variations and chromosomal abnormalities
- Chronic Lymphocytic Leukemia Research
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- Lymphoma Diagnosis and Treatment
Papers in
- Genetics 35
- Genomic variations and chromosomal abnormalities 27
- Chronic Lymphocytic Leukemia Research 12
- Genomics and Rare Diseases 5
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- Gene expression and cancer classification 6
- Co-authors
- Peter Lichter (8 shared papers)Michael L. Cleary (1 shared paper)Ruthild G. Weber (3 shared papers)Reiner Siebert (6 shared papers)V. Peter Collins (1 shared paper)Marietta Wolter (1 shared paper)Guido Reifenberger (1 shared paper)Jan Boström (1 shared paper)
- Journals
- Genes Chromosomes and Cancer (5 papers)Bioinformatics (4 papers)PLoS ONE (4 papers)Database (3 papers)Scientific Reports (3 papers)
- Partner nations
- SwitzerlandGermanyUnited States
In The Last Decade
Michael Baudis
75 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 108
- Genetics 459
- Pathology and Forensic Medicine 617
- Cancer Research 519
- Neurology 369
- Oncology 539
Countries citing papers authored by Michael Baudis
This map shows the geographic impact of Michael Baudis'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 Baudis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Baudis more than expected).
Fields of papers citing papers by Michael Baudis
This network shows the impact of papers produced by Michael Baudis. 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 Baudis. The network helps show where Michael Baudis may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Baudis, 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 80 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 343 | |
| 2 | 2008 | 152 | |
| 3 | 2001 | 143 | |
| 4 | 2005 | 138 | |
| 5 | 2000 | 123 | |
| 6 | 2001 | 116 | |
| 7 | 2007 | 115 | |
| 8 | 2020 | 90 | |
| 9 | 2009 | 84 | |
| 10 | 2014 | 83 | |
| 11 | 2005 | 71 | |
| 12 | 1997 | 70 | |
| 13 | 2007 | 68 | |
| 14 | 2010 | 50 | |
| 15 | 2013 | 50 | |
| 16 | 2006 | 49 | |
| 17 | 2010 | 48 | |
| 18 | 2010 | 45 | |
| 19 | 2008 | 43 | |
| 20 | 2010 | 42 |
About Michael Baudis
Michael Baudis is a scholar working on Genetics, Molecular Biology, Cancer Research, Pathology and Forensic Medicine and Genetics, having authored 80 papers that have together received 2.6k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (28 papers), Genomic variations and chromosomal abnormalities (27 papers), Chronic Lymphocytic Leukemia Research (12 papers), Lymphoma Diagnosis and Treatment (10 papers), Genetic factors in colorectal cancer (8 papers), Viral-associated cancers and disorders (7 papers), Gene expression and cancer classification (6 papers) and Genomics and Rare Diseases (5 papers). The work is most often cited by research in Genetics (459 citations), Pathology and Forensic Medicine (617 citations), Cancer Research (519 citations), Neurology (369 citations) and Oncology (539 citations). Michael Baudis has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Peter Lichter, Michael L. Cleary, Ruthild G. Weber, Reiner Siebert, V. Peter Collins, Marietta Wolter, Guido Reifenberger, Jan Boström, Evert-Jan G. Boerma and P. M. Kluin. Their work appears in journals such as Genes Chromosomes and Cancer, Bioinformatics, PLoS ONE, Database and Scientific Reports.
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.