Matthew Nali
Impact in
- Modeling and Simulation top 10%
Papers in
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- Smoking Behavior and Cessation 7
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- Cannabis and Cannabinoid Research 4
- Co-authors
- Tim K. Mackey (26 shared papers)Jiawei Li (14 shared papers)Vidya Purushothaman (13 shared papers)Raphael Cuomo (15 shared papers)Mingxiang Cai (6 shared papers)Neal Shah (6 shared papers)Bryan A. Liang (3 shared papers)Zhuoran Li (9 shared papers)
- Journals
- Journal of Medical Internet Research (2 papers)Nicotine & Tobacco Research (2 papers)JMIR Public Health and Surveillance (2 papers)International Journal of Environmental Research and Public Health (1 paper)The Lancet Digital Health (1 paper)
- Partner nations
- United StatesGermanyAustria
In The Last Decade
Matthew Nali
26 papers receiving 361 citations
Peers
Comparison fields: 5 of 81
- Communication 34
- Modeling and Simulation 19
- Health 28
- Toxicology 12
- Health Informatics 4
Countries citing papers authored by Matthew Nali
This map shows the geographic impact of Matthew Nali'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 Matthew Nali with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Nali more than expected).
Fields of papers citing papers by Matthew Nali
This network shows the impact of papers produced by Matthew Nali. 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 Matthew Nali. The network helps show where Matthew Nali may publish in the future.
Co-authors
The 18 scholars most cited alongside Matthew Nali, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 102 | |
| 2 | 2020 | 67 | |
| 3 | 2020 | 45 | |
| 4 | 2021 | 34 | |
| 5 | 2022 | 17 | |
| 6 | 2023 | 14 | |
| 7 | 2022 | 13 | |
| 8 | 2021 | 12 | |
| 9 | 2022 | 8 | |
| 10 | 2021 | 8 | |
| 11 | 2021 | 6 | |
| 12 | 2021 | 5 | |
| 13 | 2024 | 5 | |
| 14 | 2015 | 5 | |
| 15 | 2023 | 5 | |
| 16 | 2023 | 3 | |
| 17 | 2022 | 3 | |
| 18 | 2021 | 3 | |
| 19 | 2021 | 2 | |
| 20 | 2022 | 2 |
About Matthew Nali
Matthew Nali is a scholar working on Physiology, Pharmacology, Epidemiology, Infectious Diseases and Communication, having authored 28 papers that have together received 368 indexed citations. Recurring topics across this work include Smoking Behavior and Cessation (7 papers), Cannabis and Cannabinoid Research (4 papers), Misinformation and Its Impacts (3 papers), Spam and Phishing Detection (2 papers), HIV/AIDS Research and Interventions (2 papers), Media Studies and Communication (2 papers), Manufacturing Process and Optimization (2 papers) and HIV, Drug Use, Sexual Risk (2 papers). The work is most often cited by research in Communication (34 citations), Modeling and Simulation (19 citations), Health (28 citations), Toxicology (12 citations) and Health Informatics (4 citations). Matthew Nali has collaborated with scholars based in United States, Germany and Austria. Frequent co-authors include Tim K. Mackey, Jiawei Li, Vidya Purushothaman, Raphael Cuomo, Mingxiang Cai, Neal Shah, Bryan A. Liang, Zhuoran Li, Joshua Yang and Qing Xu. Their work appears in journals such as Journal of Medical Internet Research, Nicotine & Tobacco Research, JMIR Public Health and Surveillance, International Journal of Environmental Research and Public Health and The Lancet Digital Health.
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.