Michael Timm
Impact in
- Hematology top 1%
- Multiple Myeloma Research and Treatments
-
- Indoor Air Quality and Microbial Exposure
- Air Quality and Health Impacts
Papers in
- Hematology 37
- Multiple Myeloma Research and Treatments 31
- Acute Myeloid Leukemia Research 6
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- Protein Degradation and Inhibitors 6
- Co-authors
- Erik W. Hansen (10 shared papers)Shaji Kumar (28 shared papers)S. Vincent Rajkumar (27 shared papers)Philip R. Greipp (13 shared papers)Thomas E. Witzig (19 shared papers)Anne Mette Madsen (4 shared papers)Mika Frankel (3 shared papers)Teresa K. Kimlinger (12 shared papers)
- Journals
- Blood (19 papers)Leukemia (6 papers)British Journal of Haematology (4 papers)Experimental Hematology (2 papers)Cancer Research (2 papers)
- Partner nations
- United StatesDenmarkGermany
In The Last Decade
Michael Timm
74 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 135
- Hematology 754
- Health, Toxicology and Mutagenesis 404
- Process Chemistry and Technology 81
- Genetics 222
- Oncology 478
Countries citing papers authored by Michael Timm
This map shows the geographic impact of Michael Timm'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 Timm with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Timm more than expected).
Fields of papers citing papers by Michael Timm
This network shows the impact of papers produced by Michael Timm. 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 Timm. The network helps show where Michael Timm may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Timm, 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 78 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 229 | |
| 2 | 2006 | 169 | |
| 3 | 2007 | 140 | |
| 4 | 2013 | 140 | |
| 5 | 2003 | 128 | |
| 6 | 2004 | 124 | |
| 7 | 2012 | 111 | |
| 8 | 2006 | 110 | |
| 9 | 2014 | 99 | |
| 10 | 2009 | 80 | |
| 11 | 2006 | 78 | |
| 12 | 2014 | 66 | |
| 13 | 2011 | 65 | |
| 14 | 2012 | 64 | |
| 15 | 2019 | 54 | |
| 16 | 2010 | 53 | |
| 17 | 2016 | 53 | |
| 18 | 1999 | 51 | |
| 19 | 2008 | 51 | |
| 20 | 2008 | 49 |
About Michael Timm
Michael Timm is a scholar working on Hematology, Molecular Biology, Genetics, Oncology and Pathology and Forensic Medicine, having authored 78 papers that have together received 2.5k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (31 papers), Chronic Lymphocytic Leukemia Research (10 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (7 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Protein Degradation and Inhibitors (6 papers), Acute Myeloid Leukemia Research (6 papers), Chemokine receptors and signaling (6 papers) and Lymphoma Diagnosis and Treatment (6 papers). The work is most often cited by research in Hematology (754 citations), Health, Toxicology and Mutagenesis (404 citations), Process Chemistry and Technology (81 citations), Genetics (222 citations) and Oncology (478 citations). Michael Timm has collaborated with scholars based in United States, Denmark and Germany. Frequent co-authors include Erik W. Hansen, Shaji Kumar, S. Vincent Rajkumar, Philip R. Greipp, Thomas E. Witzig, Anne Mette Madsen, Mika Frankel, Teresa K. Kimlinger, Lise Moesby and Janine Haug. Their work appears in journals such as Blood, Leukemia, British Journal of Haematology, Experimental Hematology and Cancer Research.
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.