Martin Müller
- Hematology top 0.5%
- Chronic Myeloid Leukemia Treatments 27
- Genetics top 0.5%
- Virus-based gene therapy research 42
- Chronic Lymphocytic Leukemia Research 22
- Immunology top 1%
- Immunotherapy and Immune Responses 46
- Epidemiology top 0.5%
- Cervical Cancer and HPV Research 76
- Hepatitis B Virus Studies 26
- Herpesvirus Infections and Treatments 15
- Rheumatology top 1%
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- vaccines and immunoinformatics approaches 13
- Co-authors
- Lutz GissmannAndreas HochhausJohn T. SchillerPeter SehrSusan BranfordJürgen A. KleinschmidtMichael PawlitaJerald P. Radich
- Cited by
- HematologyGeneticsImmunology
- Partner nations
- GermanyUnited StatesFrance
In The Last Decade
Martin Müller
177 papers receiving 6.4k citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Hematology 1.6k
- Genetics 1.4k
- Immunology 1.8k
- Epidemiology 2.6k
- Rheumatology 941
Countries citing papers authored by Martin Müller
This map shows the geographic impact of Martin Müller'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 Martin Müller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Müller more than expected).
Fields of papers citing papers by Martin Müller
This network shows the impact of papers produced by Martin Müller. 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 Martin Müller. The network helps show where Martin Müller may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Martin Müller, 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 | 1 | |
| 2 | 2024 | 10 | |
| 3 | 2021 | 5 | |
| 4 | 2021 | 14 | |
| 5 | 2020 | 15 | |
| 6 | 2020 | 34 | |
| 7 | 2013 | 64 | |
| 8 | 2013 | 80 | |
| 9 | 2011 | 40 | |
| 10 | 2009 | 127 | |
| 11 | 2007 | 2 | |
| 12 | 2006 | 372 | |
| 13 | 2005 | 14 | |
| 14 | 2002 | 28 | |
| 15 | Molecular and chromosomal mechanisms of resistance in CML patients after STI571 (Glivec) therapy | 2001 | 16 |
| 16 | 1998 | 73 | |
| 17 | 1998 | 43 | |
| 18 | 1997 | 150 | |
| 19 | 1995 | 26 | |
| 20 | Ergebnisse serologischer Untersuchungen auf Antikörper gegen das Virus der bovinen Virusdiarrhoe/Mucosal disease beim Rot-, Reh-, Dam und Muffelwild | 1988 | 5 |
About Martin Müller
Martin Müller is a scholar working on Immunology, Epidemiology and Hematology, having authored 179 papers that have together received 6.6k indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (76 papers), Immunotherapy and Immune Responses (46 papers), Virus-based gene therapy research (42 papers), Chronic Myeloid Leukemia Treatments (27 papers), Hepatitis B Virus Studies (26 papers), Chronic Lymphocytic Leukemia Research (22 papers), Herpesvirus Infections and Treatments (15 papers) and vaccines and immunoinformatics approaches (13 papers). The work is most often cited by research in Hematology (1.6k citations), Genetics (1.4k citations) and Immunology (1.8k citations). Martin Müller has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Lutz Gissmann, Andreas Hochhaus, John T. Schiller, Peter Sehr, Susan Branford, Jürgen A. Kleinschmidt, Michael Pawlita, Jerald P. Radich, Christopher B. Buck and Jeffrey N. Roberts. Their work appears in journals such as Journal of Clinical Oncology, Blood and The Journal of Immunology.
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.