Michael Dal Molin
Impact in
- Infectious Diseases top 10%
- Tuberculosis Research and Epidemiology
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
Papers in
-
- Tuberculosis Research and Epidemiology 11
-
- Mycobacterium research and diagnosis 6
- Pneumocystis jirovecii pneumonia detection and treatment 2
- Co-authors
- Peter Sander (10 shared papers)Petra Selchow (6 shared papers)Katja Becker (3 shared papers)Anna Rominski (2 shared papers)Klara Haldimann (2 shared papers)Avinash Sonawane (1 shared paper)Agnese Petrera (1 shared paper)Andrea Zelmer (1 shared paper)
- Journals
- Angewandte Chemie International Edition (2 papers)Antimicrobial Agents and Chemotherapy (2 papers)Tuberculosis (1 paper)iScience (1 paper)Frontiers in Microbiology (1 paper)
- Partner nations
- GermanySwitzerlandSpain
In The Last Decade
Michael Dal Molin
18 papers receiving 288 citations
Peers
Comparison fields: 5 of 47
- Infectious Diseases 178
- Molecular Medicine 37
- Microbiology 5
- Epidemiology 146
- Small Animals 22
Countries citing papers authored by Michael Dal Molin
This map shows the geographic impact of Michael Dal Molin'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 Michael Dal Molin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Dal Molin more than expected).
Fields of papers citing papers by Michael Dal Molin
This network shows the impact of papers produced by Michael Dal Molin. 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 Michael Dal Molin. The network helps show where Michael Dal Molin may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Dal Molin, 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 | 2017 | 54 | |
| 2 | 2015 | 47 | |
| 3 | 2017 | 31 | |
| 4 | 2015 | 28 | |
| 5 | 2017 | 24 | |
| 6 | 2019 | 22 | |
| 7 | 2019 | 20 | |
| 8 | 2021 | 19 | |
| 9 | 2017 | 18 | |
| 10 | 2024 | 6 | |
| 11 | 2023 | 4 | |
| 12 | 2021 | 3 | |
| 13 | 2023 | 3 | |
| 14 | 2025 | 3 | |
| 15 | 2023 | 2 | |
| 16 | 2024 | 2 | |
| 17 | 2023 | 2 | |
| 18 | 2024 | 1 | |
| 19 | 2025 | 0 |
About Michael Dal Molin
Michael Dal Molin is a scholar working on Infectious Diseases, Epidemiology, Molecular Biology, Organic Chemistry and Pharmacology, having authored 19 papers that have together received 289 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (11 papers), Mycobacterium research and diagnosis (6 papers), Cancer therapeutics and mechanisms (3 papers), Pneumocystis jirovecii pneumonia detection and treatment (2 papers), Biosimilars and Bioanalytical Methods (2 papers), Actinomycetales infections and treatment (2 papers), Marine Sponges and Natural Products (2 papers) and Microbial Natural Products and Biosynthesis (2 papers). The work is most often cited by research in Infectious Diseases (178 citations), Molecular Medicine (37 citations), Microbiology (5 citations), Epidemiology (146 citations) and Small Animals (22 citations). Michael Dal Molin has collaborated with scholars based in Germany, Switzerland and Spain. Frequent co-authors include Peter Sander, Petra Selchow, Katja Becker, Anna Rominski, Klara Haldimann, Avinash Sonawane, Agnese Petrera, Andrea Zelmer, Núria Andreu and Emma Rayner. Their work appears in journals such as Angewandte Chemie International Edition, Antimicrobial Agents and Chemotherapy, Tuberculosis, iScience and Frontiers in Microbiology.
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.