Michael Bauer
Impact in
- Hematology top 0.5%
- Multiple Myeloma Research and Treatments
- Oncology top 5%
- Peptidase Inhibition and Analysis
Papers in
- Hematology 37
- Multiple Myeloma Research and Treatments 37
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- Cancer Genomics and Diagnostics 10
- Co-authors
- Peter J. Jederlinic (1 shared paper)Jennifer M. Victory (1 shared paper)Cody Ashby (17 shared papers)Gareth John Morgan (16 shared papers)John J. May (1 shared paper)Guy W. Amsden (1 shared paper)Lee C. Edmonds (1 shared paper)Daniel Berleant (4 shared papers)
- Journals
- Blood (12 papers)BMC Bioinformatics (8 papers)Leukemia (5 papers)Haematologica (4 papers)Nature Communications (3 papers)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Michael Bauer
77 papers receiving 2.6k citations
Michael Bauer's Hit Papers
Peers
Comparison fields: 5 of 123
- Hematology 1.8k
- Oncology 654
- Molecular Biology 1.4k
- Cancer Research 277
- Genetics 188
Countries citing papers authored by Michael Bauer
This map shows the geographic impact of Michael Bauer'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 Bauer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Bauer more than expected).
Fields of papers citing papers by Michael Bauer
This network shows the impact of papers produced by Michael Bauer. 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 Bauer. The network helps show where Michael Bauer may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Bauer, 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 | 2018 | 376 | |
| 2 | A high-risk, Double-Hit, group of newly diagnosed myeloma identified by genomic analysis Hit paper breakdown → | 2018 | 364 |
| 3 | 2017 | 337 | |
| 4 | 2016 | 182 | |
| 5 | 2018 | 128 | |
| 6 | 2005 | 119 | |
| 7 | 2021 | 88 | |
| 8 | 2017 | 67 | |
| 9 | 1992 | 61 | |
| 10 | 2017 | 55 | |
| 11 | 2020 | 52 | |
| 12 | 2022 | 51 | |
| 13 | 2022 | 46 | |
| 14 | 2019 | 46 | |
| 15 | 2020 | 40 | |
| 16 | 2011 | 37 | |
| 17 | 2021 | 31 | |
| 18 | 2012 | 29 | |
| 19 | 2020 | 29 | |
| 20 | 1998 | 26 |
About Michael Bauer
Michael Bauer is a scholar working on Hematology, Cancer Research, Molecular Biology, Oncology and Pulmonary and Respiratory Medicine, having authored 80 papers that have together received 2.6k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (37 papers), Protein Degradation and Inhibitors (14 papers), Cancer Genomics and Diagnostics (10 papers), Ubiquitin and proteasome pathways (5 papers), Chemokine receptors and signaling (4 papers), Peptidase Inhibition and Analysis (4 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (3 papers) and Immune Cell Function and Interaction (3 papers). The work is most often cited by research in Hematology (1.8k citations), Oncology (654 citations), Molecular Biology (1.4k citations), Cancer Research (277 citations) and Genetics (188 citations). Michael Bauer has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Peter J. Jederlinic, Jennifer M. Victory, Cody Ashby, Gareth John Morgan, John J. May, Guy W. Amsden, Lee C. Edmonds, Daniel Berleant, Brian A. Walker and Faith E. Davies. Their work appears in journals such as Blood, BMC Bioinformatics, Leukemia, Haematologica and Nature Communications.
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.