M Just
Impact in
- Microbiology top 2%
- Bacterial Infections and Vaccines
- Epidemiology top 2%
- Herpesvirus Infections and Treatments
- Virology and Viral Diseases
- Cytomegalovirus and herpesvirus research
- Hepatitis B Virus Studies
Papers in
- Epidemiology 56
- Virology and Viral Diseases 15
- Herpesvirus Infections and Treatments 14
- Hepatitis B Virus Studies 9
- Respiratory viral infections research 9
- Cytomegalovirus and herpesvirus research 9
- Co-authors
- R. Berger (29 shared papers)G. Florent (1 shared paper)Reinhard Glück (8 shared papers)Annemarie Bürgin-Wolff (12 shared papers)Beat Althaus (2 shared papers)Robert Mischler (1 shared paper)S J Cryz (1 shared paper)E Signer (4 shared papers)
- Journals
- Vaccine (8 papers)The Lancet (4 papers)Infection (4 papers)The Journal of Infectious Diseases (3 papers)Antiviral Research (3 papers)
- Partner nations
- SwitzerlandGermanyUnited States
In The Last Decade
M Just
84 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 95
- Microbiology 231
- Epidemiology 1.1k
- Virology 146
- Hepatology 196
- Parasitology 163
Countries citing papers authored by M Just
This map shows the geographic impact of M Just'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 Just with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M Just more than expected).
Fields of papers citing papers by M Just
This network shows the impact of papers produced by M Just. 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 Just. The network helps show where M Just may publish in the future.
Co-authors
The 25 scholars most cited alongside M Just, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1981 | 197 | |
| 2 | 1992 | 137 | |
| 3 | 1988 | 94 | |
| 4 | 1995 | 65 | |
| 5 | 1975 | 65 | |
| 6 | 1975 | 64 | |
| 7 | 1984 | 60 | |
| 8 | 1992 | 54 | |
| 9 | 1983 | 51 | |
| 10 | 1971 | 51 | |
| 11 | 1976 | 48 | |
| 12 | 1975 | 45 | |
| 13 | 1995 | 43 | |
| 14 | 1995 | 42 | |
| 15 | 1993 | 42 | |
| 16 | 1974 | 39 | |
| 17 | 1996 | 39 | |
| 18 | 1990 | 38 | |
| 19 | 1980 | 34 | |
| 20 | 1974 | 33 |
About M Just
M Just is a scholar working on Epidemiology, Infectious Diseases, Immunology, Hepatology and Microbiology, having authored 91 papers that have together received 1.9k indexed citations. Recurring topics across this work include Virology and Viral Diseases (15 papers), Herpesvirus Infections and Treatments (14 papers), Hepatitis Viruses Studies and Epidemiology (11 papers), Vaccine Coverage and Hesitancy (10 papers), Hepatitis B Virus Studies (9 papers), Respiratory viral infections research (9 papers), Bacterial Infections and Vaccines (9 papers) and Cytomegalovirus and herpesvirus research (9 papers). The work is most often cited by research in Microbiology (231 citations), Epidemiology (1.1k citations), Virology (146 citations), Hepatology (196 citations) and Parasitology (163 citations). M Just has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include R. Berger, G. Florent, Reinhard Glück, Annemarie Bürgin-Wolff, Beat Althaus, Robert Mischler, S J Cryz, E Signer, D Stürchler and Theo Rufli. Their work appears in journals such as Vaccine, The Lancet, Infection, The Journal of Infectious Diseases and Antiviral Research.
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.