M.C. Simmler
Impact in
- Genetics top 5%
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities
- Animal Genetics and Reproduction
- Genetics and Neurodevelopmental Disorders
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- Cancer-related molecular mechanisms research
Papers in
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- Immunotherapy and Immune Responses 5
- T-cell and B-cell Immunology 3
- Immune responses and vaccinations 2
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- RNA and protein synthesis mechanisms 2
- Glycosylation and Glycoproteins Research 1
- Co-authors
- Philip Avner (3 shared papers)Luisa Dandolo (2 shared papers)Danielle Arnaud (1 shared paper)Valeria Capra (1 shared paper)Donna M. Muzny (1 shared paper)Markus Grompe (1 shared paper)Giuseppe Borsani (1 shared paper)Huntington F. Willard (1 shared paper)
In The Last Decade
M.C. Simmler
16 papers receiving 587 citations
Peers
Comparison fields: 5 of 66
- Genetics 337
- Cancer Research 128
- Molecular Biology 421
- Immunology 62
- Plant Science 74
Countries citing papers authored by M.C. Simmler
This map shows the geographic impact of M.C. Simmler'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 M.C. Simmler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M.C. Simmler more than expected).
Fields of papers citing papers by M.C. Simmler
This network shows the impact of papers produced by M.C. Simmler. 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 M.C. Simmler. The network helps show where M.C. Simmler may publish in the future.
Co-authors
The 25 scholars most cited alongside M.C. Simmler, 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 | 1991 | 456 | |
| 2 | 1986 | 40 | |
| 3 | 1976 | 25 | |
| 4 | 1976 | 25 | |
| 5 | 2012 | 17 | |
| 6 | 1976 | 10 | |
| 7 | 1976 | 8 | |
| 8 | 1983 | 7 | |
| 9 | 1981 | 7 | |
| 10 | 1976 | 7 | |
| 11 | 1985 | 3 | |
| 12 | 2008 | 2 | |
| 13 | 1976 | 2 | |
| 14 | 1977 | 1 | |
| 15 | 1985 | 1 | |
| 16 | 1992 | 1 |
About M.C. Simmler
M.C. Simmler is a scholar working on Immunology, Molecular Biology, Genetics, Oncology and Pulmonary and Respiratory Medicine, having authored 16 papers that have together received 612 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (5 papers), T-cell and B-cell Immunology (3 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (3 papers), Immune responses and vaccinations (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), RNA and protein synthesis mechanisms (2 papers) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Genetics (337 citations), Cancer Research (128 citations), Molecular Biology (421 citations), Immunology (62 citations) and Plant Science (74 citations). M.C. Simmler has collaborated with scholars based in France, Italy and Austria. Frequent co-authors include Philip Avner, Luisa Dandolo, Danielle Arnaud, Valeria Capra, Donna M. Muzny, Markus Grompe, Giuseppe Borsani, Huntington F. Willard, Andrea Ballabio and Antonio Pizzuti. Their work appears in journals such as Cancer Immunology Immunotherapy, Annals of the New York Academy of Sciences, Cold Spring Harbor Symposia on Quantitative Biology, Nature and International Journal of Sports Medicine.
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.