Mart L. Stein
Impact in
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
- Pharmacology top 10%
- Alkaloids: synthesis and pharmacology
- Synthesis of Organic Compounds
Papers in
- Epidemiology 31
- Data-Driven Disease Surveillance 11
- HIV, Drug Use, Sexual Risk 9
- Cervical Cancer and HPV Research 6
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- COVID-19 epidemiological studies 16
- Co-authors
- Cinzia Conti (12 shared papers)N Orsi (11 shared papers)Nicoletta Desideri (15 shared papers)Cosimo Pìzza (2 shared papers)Rita Patrizia Aquino (2 shared papers)Francesco De Simone (2 shared papers)Jim van Steenbergen (16 shared papers)Mirjam Kretzschmar (15 shared papers)
- Journals
- BMC Public Health (6 papers)Antiviral chemistry & chemotherapy (5 papers)PLoS ONE (5 papers)European Journal of Public Health (4 papers)BMC Infectious Diseases (3 papers)
- Partner nations
- NetherlandsItalyGermany
In The Last Decade
Mart L. Stein
53 papers receiving 664 citations
Peers
Comparison fields: 5 of 110
- Modeling and Simulation 110
- Pharmacology 79
- Epidemiology 210
- Pharmacology 101
- Biochemistry 43
Countries citing papers authored by Mart L. Stein
This map shows the geographic impact of Mart L. Stein'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 Mart L. Stein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mart L. Stein more than expected).
Fields of papers citing papers by Mart L. Stein
This network shows the impact of papers produced by Mart L. Stein. 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 Mart L. Stein. The network helps show where Mart L. Stein may publish in the future.
Co-authors
The 25 scholars most cited alongside Mart L. Stein, 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 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1989 | 108 | |
| 2 | 1991 | 33 | |
| 3 | 2014 | 33 | |
| 4 | 1990 | 33 | |
| 5 | 2012 | 31 | |
| 6 | 1997 | 31 | |
| 7 | 2014 | 28 | |
| 8 | 2012 | 28 | |
| 9 | 2021 | 27 | |
| 10 | 1990 | 23 | |
| 11 | 2010 | 22 | |
| 12 | 1992 | 22 | |
| 13 | 1995 | 21 | |
| 14 | 1992 | 18 | |
| 15 | 2020 | 17 | |
| 16 | 1998 | 15 | |
| 17 | 2018 | 14 | |
| 18 | 1990 | 14 | |
| 19 | 2019 | 11 | |
| 20 | 2015 | 11 |
About Mart L. Stein
Mart L. Stein is a scholar working on Epidemiology, Modeling and Simulation, Infectious Diseases, Organic Chemistry and Pharmacology, having authored 62 papers that have together received 684 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (16 papers), Data-Driven Disease Surveillance (11 papers), HIV, Drug Use, Sexual Risk (9 papers), Viral Infections and Outbreaks Research (7 papers), COVID-19 Digital Contact Tracing (6 papers), Synthesis of Organic Compounds (6 papers), Cervical Cancer and HPV Research (6 papers) and Global Cancer Incidence and Screening (6 papers). The work is most often cited by research in Modeling and Simulation (110 citations), Pharmacology (79 citations), Epidemiology (210 citations), Pharmacology (101 citations) and Biochemistry (43 citations). Mart L. Stein has collaborated with scholars based in Netherlands, Italy and Germany. Frequent co-authors include Cinzia Conti, N Orsi, Nicoletta Desideri, Cosimo Pìzza, Rita Patrizia Aquino, Francesco De Simone, Jim van Steenbergen, Mirjam Kretzschmar, Aura Timen and Paola Tomao. Their work appears in journals such as BMC Public Health, Antiviral chemistry & chemotherapy, PLoS ONE, European Journal of Public Health and BMC Infectious Diseases.
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.