Thomas Doerr
Impact in
- Hematology top 10%
- Multiple Myeloma Research and Treatments
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- Cardiac pacing and defibrillation studies
- Cardiac Arrhythmias and Treatments
- Cardiac electrophysiology and arrhythmias
Papers in
- Oncology 7
- Cancer Treatment and Pharmacology 3
- Peptidase Inhibition and Analysis 2
- CAR-T cell therapy research 2
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- Multiple Myeloma Research and Treatments 7
- Co-authors
- H. Schieffer (1 shared paper)Michael Kindermann (1 shared paper)David S. Siegel (4 shared papers)Andrzej Jakubowiak (1 shared paper)Luciano J. Costa (1 shared paper)William Bensinger (1 shared paper)Sandy W. Wong (2 shared papers)Todd DeVries (2 shared papers)
- Journals
- Journal of Clinical Oncology (3 papers)Blood (3 papers)Pacing and Clinical Electrophysiology (1 paper)The American Journal of Managed Care (1 paper)Experimental Hematology and Oncology (1 paper)
- Partner nations
- United StatesJapanGermany
In The Last Decade
Thomas Doerr
11 papers receiving 322 citations
Peers
Comparison fields: 5 of 30
- Hematology 113
- Cardiology and Cardiovascular Medicine 159
- Oncology 141
- Molecular Biology 118
- Neurology 25
Countries citing papers authored by Thomas Doerr
This map shows the geographic impact of Thomas Doerr'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 Thomas Doerr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Doerr more than expected).
Fields of papers citing papers by Thomas Doerr
This network shows the impact of papers produced by Thomas Doerr. 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 Thomas Doerr. The network helps show where Thomas Doerr may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas Doerr, 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 | 1997 | 163 | |
| 2 | 2020 | 101 | |
| 3 | 2018 | 15 | |
| 4 | 2014 | 11 | |
| 5 | 2015 | 11 | |
| 6 | 2015 | 10 | |
| 7 | 2015 | 10 | |
| 8 | 2020 | 6 | |
| 9 | 2013 | 4 | |
| 10 | The Accountable Primary Care Model: Beyond Medical Home 2.0 | 2014 | 3 |
| 11 | 2017 | 1 | |
| 12 | 1997 | 0 | |
| 13 | 2015 | 0 |
About Thomas Doerr
Thomas Doerr is a scholar working on Oncology, Hematology, Molecular Biology, Infectious Diseases and Cardiology and Cardiovascular Medicine, having authored 13 papers that have together received 335 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (7 papers), Protein Degradation and Inhibitors (5 papers), Cancer Treatment and Pharmacology (3 papers), HIV/AIDS drug development and treatment (3 papers), Peptidase Inhibition and Analysis (2 papers), CAR-T cell therapy research (2 papers), Primary Care and Health Outcomes (2 papers) and Economic and Financial Impacts of Cancer (1 paper). The work is most often cited by research in Hematology (113 citations), Cardiology and Cardiovascular Medicine (159 citations), Oncology (141 citations), Molecular Biology (118 citations) and Neurology (25 citations). Thomas Doerr has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include H. Schieffer, Michael Kindermann, David S. Siegel, Andrzej Jakubowiak, Luciano J. Costa, William Bensinger, Sandy W. Wong, Todd DeVries, Kelvin Lee and Jonathan L. Kaufman. Their work appears in journals such as Journal of Clinical Oncology, Blood, Pacing and Clinical Electrophysiology, The American Journal of Managed Care and Experimental Hematology and Oncology.
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.