Marcel Mueller
Impact in
- Immunology and Allergy top 10%
- Cell Adhesion Molecules Research
- Hematology top 10%
- Platelet Disorders and Treatments
Papers in
-
- RNA and protein synthesis mechanisms 2
- PI3K/AKT/mTOR signaling in cancer 2
- Oncology 3
- HER2/EGFR in Cancer Research 3
- Co-authors
- Helmut Mett (4 shared papers)Thomas Meyer (3 shared papers)Elisabeth Buchdunger (3 shared papers)Bernd Groner (1 shared paper)Hynes Ne (1 shared paper)Winfried S. Wels (1 shared paper)Urs Regenass (3 shared papers)Nicholas Lydon (2 shared papers)
- Journals
- Journal of Medicinal Chemistry (4 papers)Acta Physiologica (1 paper)Nucleic Acids Research (1 paper)PubMed (3 papers)
- Partner nations
- SwitzerlandGermanySouth Korea
In The Last Decade
Marcel Mueller
9 papers receiving 761 citations
Peers
Comparison fields: 5 of 72
- Immunology and Allergy 77
- Hematology 105
- Biochemistry 65
- Radiology, Nuclear Medicine and Imaging 170
- Organic Chemistry 209
Countries citing papers authored by Marcel Mueller
This map shows the geographic impact of Marcel Mueller'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 Marcel Mueller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcel Mueller more than expected).
Fields of papers citing papers by Marcel Mueller
This network shows the impact of papers produced by Marcel Mueller. 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 Marcel Mueller. The network helps show where Marcel Mueller may publish in the future.
Co-authors
The 25 scholars most cited alongside Marcel Mueller, 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 | 185 | |
| 2 | 1992 | 169 | |
| 3 | Selective inhibition of tumor cell growth by a recombinant single-chain antibody-toxin specific for the erbB-2 receptor. | 1992 | 163 |
| 4 | CGP 48664, a new S-adenosylmethionine decarboxylase inhibitor with broad spectrum antiproliferative and antitumor activity. | 1994 | 96 |
| 5 | 1994 | 74 | |
| 6 | 1995 | 72 | |
| 7 | Inhibition of the growth of glioblastomas by CGP 41251, an inhibitor of protein kinase C, and by a phorbol ester tumor promoter. | 1996 | 23 |
| 8 | 2020 | 17 | |
| 9 | 2015 | 1 |
About Marcel Mueller
Marcel Mueller is a scholar working on Molecular Biology, Oncology, Organic Chemistry, Pulmonary and Respiratory Medicine and Hematology, having authored 9 papers that have together received 800 indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (3 papers), Quinazolinone synthesis and applications (2 papers), Chronic Myeloid Leukemia Treatments (2 papers), RNA and protein synthesis mechanisms (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Cancer, Hypoxia, and Metabolism (1 paper), Electron Spin Resonance Studies (1 paper) and Lung Cancer Treatments and Mutations (1 paper). The work is most often cited by research in Immunology and Allergy (77 citations), Hematology (105 citations), Biochemistry (65 citations), Radiology, Nuclear Medicine and Imaging (170 citations) and Organic Chemistry (209 citations). Marcel Mueller has collaborated with scholars based in Switzerland, Germany and South Korea. Frequent co-authors include Helmut Mett, Thomas Meyer, Elisabeth Buchdunger, Bernd Groner, Hynes Ne, Winfried S. Wels, Urs Regenass, Nicholas Lydon, Pascal Furet and Peter Traxler. Their work appears in journals such as Journal of Medicinal Chemistry, Acta Physiologica, Nucleic Acids Research and PubMed.
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.