Martin Müller
- Epidemiology top 0.5%
- Immunology top 1%
- Hematology top 0.5%
- Molecular Biology top 5%
- Genetics top 0.5%
- Co-authors
- Lutz GissmannAndreas HochhausJohn T. SchillerPeter SehrSusan BranfordJürgen A. KleinschmidtMichael PawlitaJerald P. Radich
- Topics
- Cervical Cancer and HPV Research (76 papers)Immunotherapy and Immune Responses (46 papers)Virus-based gene therapy research (42 papers)
- 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
- Epidemiology 2.6k
- Immunology 1.8k
- Hematology 1.6k
- Molecular Biology 1.4k
- Genetics 1.4k
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 of co-authors of Martin Müller
This figure shows the co-authorship network connecting the top 25 collaborators of Martin Müller. A scholar is included among the top collaborators of Martin Müller based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Martin Müller. Martin Müller is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 10 | |
| 3 | 5 | |
| 4 | 14 | |
| 5 | 15 | |
| 6 | 34 | |
| 7 | 64 | |
| 8 | 80 | |
| 9 | 40 | |
| 10 | 127 | |
| 11 | 2 | |
| 12 | 372 | |
| 13 | 14 | |
| 14 | 28 | |
| 15 | Molecular and chromosomal mechanisms of resistance in CML patients after STI571 (Glivec) therapy | 16 |
| 16 | 73 | |
| 17 | 43 | |
| 18 | 150 | |
| 19 | 26 | |
| 20 | Ergebnisse serologischer Untersuchungen auf Antikörper gegen das Virus der bovinen Virusdiarrhoe/Mucosal disease beim Rot-, Reh-, Dam und Muffelwild | 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) and Virus-based gene therapy research (42 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.