Marco Kaufmann
- Health, Toxicology and Mutagenesis top 5%
- Surgery
- Oncology
- Pathology and Forensic Medicine top 10%
- Speech and Hearing top 2%
- Co-authors
- Milo A. PuhanDavid FaehMartin RöösliKees de HooghJean Marc WunderliDanielle VienneauHenock G. YebyoHélène E. Aschmann
- Topics
- Multiple Sclerosis Research Studies (15 papers)SARS-CoV-2 and COVID-19 Research (4 papers)COVID-19 Clinical Research Studies (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEJNCI Journal of the National Cancer Institute
- Partner nations
- SwitzerlandUnited StatesGermany
In The Last Decade
Marco Kaufmann
36 papers receiving 872 citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Health, Toxicology and Mutagenesis 203
- Surgery 191
- Oncology 182
- Pathology and Forensic Medicine 156
- Speech and Hearing 130
Countries citing papers authored by Marco Kaufmann
This map shows the geographic impact of Marco Kaufmann'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 Marco Kaufmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marco Kaufmann more than expected).
Fields of papers citing papers by Marco Kaufmann
This network shows the impact of papers produced by Marco Kaufmann. 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 Marco Kaufmann. The network helps show where Marco Kaufmann may publish in the future.
Co-authorship network of co-authors of Marco Kaufmann
This figure shows the co-authorship network connecting the top 25 collaborators of Marco Kaufmann. A scholar is included among the top collaborators of Marco Kaufmann 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 Marco Kaufmann. Marco Kaufmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 3 | |
| 3 | 2 | |
| 4 | GLP-1 receptor agonists for weight reduction in people living with obesity but without diabetes: a living benefit–harm modelling studybreakdown → | 42 |
| 5 | 2 | |
| 6 | 13 | |
| 7 | 11 | |
| 8 | 6 | |
| 9 | 6 | |
| 10 | 4 | |
| 11 | 11 | |
| 12 | 11 | |
| 13 | 12 | |
| 14 | 3 | |
| 15 | 74 | |
| 16 | 25 | |
| 17 | 111 | |
| 18 | 19 | |
| 19 | 12 | |
| 20 | 22 |
About Marco Kaufmann
Marco Kaufmann is a scholar working on Pathology and Forensic Medicine, Modeling and Simulation and Applied Psychology, having authored 36 papers that have together received 884 indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (15 papers), SARS-CoV-2 and COVID-19 Research (4 papers) and COVID-19 Clinical Research Studies (4 papers). The work is most often cited by research in Speech and Hearing (130 citations), Health, Toxicology and Mutagenesis (203 citations) and Pathology and Forensic Medicine (156 citations). Marco Kaufmann has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Milo A. Puhan, David Faeh, Martin Röösli, Kees de Hoogh, Jean Marc Wunderli, Danielle Vienneau, Henock G. Yebyo, Hélène E. Aschmann, Viktor von Wyl and Anja Frei. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and JNCI Journal of the National Cancer Institute.
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.