Michael W. Deininger
- Hematology top 0.01%
- Chronic Myeloid Leukemia Treatments 324
- Acute Myeloid Leukemia Research 60
- Genetics top 0.01%
- Chronic Lymphocytic Leukemia Research 254
- Myeloproliferative Neoplasms: Diagnosis and Treatment 58
- Rheumatology top 0.02%
- Eosinophilic Disorders and Syndromes 139
- Oncology top 0.5%
- Pathology and Forensic Medicine top 0.5%
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- Acute Lymphoblastic Leukemia research 47
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- Mast cells and histamine 30
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- Click Chemistry and Applications 23
- Co-authors
- Brian DrukerJohn M. GoldmanJunia V. MeloThomas O’HareElisabeth BuchdungerChristopher A. EideAmie S. CorbinJörge E. Cortes
- Cited by
- HematologyGeneticsRheumatology
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Michael W. Deininger
384 papers receiving 20.7k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Hematology 16.3k
- Genetics 12.5k
- Rheumatology 7.5k
- Oncology 3.2k
- Pathology and Forensic Medicine 1.4k
Countries citing papers authored by Michael W. Deininger
This map shows the geographic impact of Michael W. Deininger'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 W. Deininger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael W. Deininger more than expected).
Fields of papers citing papers by Michael W. Deininger
This network shows the impact of papers produced by Michael W. Deininger. 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 W. Deininger. The network helps show where Michael W. Deininger may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michael W. Deininger, 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 | 2024 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 9 | |
| 4 | 2023 | 37 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 5 | |
| 7 | 2022 | 79 | |
| 8 | 2021 | 88 | |
| 9 | 2019 | 28 | |
| 10 | 2018 | 10 | |
| 11 | 2017 | 0 | |
| 12 | 2017 | 7 | |
| 13 | 2013 | 23 | |
| 14 | 2013 | 17 | |
| 15 | 2012 | 100 | |
| 16 | 2011 | 77 | |
| 17 | 2006 | 151 | |
| 18 | 2006 | 23 | |
| 19 | 2006 | 19 | |
| 20 | In vitro Activity of Bcr-Abl Inhibitors AMN107 and BMS-354825 against Clinically Relevant Imatinib-Resistant Abl Kinase Domain Mutantsbreakdown → | 2005 | 812 |
About Michael W. Deininger
Michael W. Deininger is a scholar working on Hematology, Genetics and Rheumatology, having authored 399 papers that have together received 21.2k indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (324 papers), Chronic Lymphocytic Leukemia Research (254 papers), Eosinophilic Disorders and Syndromes (139 papers), Acute Myeloid Leukemia Research (60 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (58 papers), Acute Lymphoblastic Leukemia research (47 papers), Mast cells and histamine (30 papers) and Click Chemistry and Applications (23 papers). The work is most often cited by research in Hematology (16.3k citations), Genetics (12.5k citations) and Rheumatology (7.5k citations). Michael W. Deininger has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Brian Druker, John M. Goldman, Junia V. Melo, Thomas O’Hare, Elisabeth Buchdunger, Christopher A. Eide, Amie S. Corbin, Jörge E. Cortes, Andreas Hochhaus and Marc Loriaux. Their work appears in journals such as Blood, Journal of Clinical Oncology, Leukemia, Cancer Research and Experimental Hematology.
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.