David E. Muench
- Cancer Research top 5%
- MicroRNA in disease regulation 3
- Cancer-related molecular mechanisms research 3
- Hematology top 5%
- Acute Myeloid Leukemia Research 4
- Immunology top 10%
- Immune cells in cancer 3
- Molecular Biology top 10%
- RNA Interference and Gene Delivery 3
- Oncology top 10%
-
- Chronic Lymphocytic Leukemia Research 4
- Blood disorders and treatments 4
- Myeloproliferative Neoplasms: Diagnosis and Treatment 3
- Co-authors
- Shelia D. ThomasKara C. SedorisAshraful IslamDonald M. MillerH. Leighton GrimesNathan SalomonisAndré OlssonHelen S. Goodridge
- Cited by
- Cancer ResearchHematologyImmunology
- Journals
- Blood (3 papers)The Journal of Experimental Medicine (2 papers)Molecular Cancer Therapeutics (1 paper)
- Partner nations
- United StatesCanadaAustralia
In The Last Decade
David E. Muench
22 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Cancer Research 331
- Hematology 199
- Immunology 359
- Molecular Biology 812
- Oncology 279
Countries citing papers authored by David E. Muench
This map shows the geographic impact of David E. Muench'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 David E. Muench with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David E. Muench more than expected).
Fields of papers citing papers by David E. Muench
This network shows the impact of papers produced by David E. Muench. 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 David E. Muench. The network helps show where David E. Muench may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David E. Muench, 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 | 2022 | 11 | |
| 2 | 2022 | 28 | |
| 3 | 2020 | 17 | |
| 4 | 2019 | 11 | |
| 5 | 2019 | 13 | |
| 6 | 2019 | 29 | |
| 7 | 2018 | 20 | |
| 8 | 2018 | 49 | |
| 9 | 2018 | 3 | |
| 10 | 2018 | 24 | |
| 11 | 2017 | 37 | |
| 12 | 2017 | 266 | |
| 13 | 2016 | 70 | |
| 14 | 2016 | 1 | |
| 15 | 2015 | 1 | |
| 16 | 2014 | 54 | |
| 17 | c-Myc and Cancer Metabolismbreakdown → | 2012 | 644 |
| 18 | 2011 | 30 | |
| 19 | 1985 | 3 | |
| 20 | 1984 | 7 |
About David E. Muench
David E. Muench is a scholar working on Genetics, Hematology, Cancer Research, Immunology and Genetics, having authored 22 papers that have together received 1.4k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (4 papers), Chronic Lymphocytic Leukemia Research (4 papers), Blood disorders and treatments (4 papers), RNA Interference and Gene Delivery (3 papers), MicroRNA in disease regulation (3 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers), Immune cells in cancer (3 papers) and Cancer-related molecular mechanisms research (3 papers). The work is most often cited by research in Cancer Research (331 citations), Hematology (199 citations), Immunology (359 citations), Molecular Biology (812 citations) and Oncology (279 citations). David E. Muench has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Shelia D. Thomas, Kara C. Sedoris, Ashraful Islam, Donald M. Miller, H. Leighton Grimes, Nathan Salomonis, André Olsson, Helen S. Goodridge, Dennis J. Hazelett and Alberto Yáñez. Their work appears in journals such as Blood, The Journal of Experimental Medicine, Molecular Cancer Therapeutics, ACS Medicinal Chemistry Letters and Clinical 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.