Mohammad Ali
- Endocrinology top 0.02%
- Vibrio bacteria research studies 98
- Escherichia coli research studies 16
- Modeling and Simulation top 0.1%
- COVID-19 epidemiological studies 49
- Nutrition and Dietetics top 0.2%
- Child Nutrition and Water Access 38
- Health top 0.5%
- Vaccine Coverage and Hesitancy 42
- Infectious Diseases top 0.5%
- Viral gastroenteritis research and epidemiology 36
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- Salmonella and Campylobacter epidemiology 29
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- Influenza Virus Research Studies 26
- Co-authors
- John D. ClemensDavid A. SackAnna Lena LopezMichael EmchMohammad YunusAllyson R. NelsonLorenz von SeidleinJacqueline Deen
- Partner nations
- United StatesSouth KoreaBangladesh
In The Last Decade
Mohammad Ali
195 papers receiving 6.8k citations
Hit Papers
Peers
Comparison fields: 5 of 177
- Endocrinology 4.0k
- Modeling and Simulation 1.2k
- Nutrition and Dietetics 1.7k
- Health 862
- Infectious Diseases 1.8k
Countries citing papers authored by Mohammad Ali
This map shows the geographic impact of Mohammad Ali'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 Mohammad Ali with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad Ali more than expected).
Fields of papers citing papers by Mohammad Ali
This network shows the impact of papers produced by Mohammad Ali. 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 Mohammad Ali. The network helps show where Mohammad Ali may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mohammad Ali, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 5 | |
| 6 | 2021 | 3 | |
| 7 | 2020 | 12 | |
| 8 | 2020 | 6 | |
| 9 | 2020 | 7 | |
| 10 | 2020 | 21 | |
| 11 | 2020 | 28 | |
| 12 | 2019 | 4 | |
| 13 | 2019 | 2 | |
| 14 | 2018 | 5 | |
| 15 | 2017 | 45 | |
| 16 | 2017 | 2 | |
| 17 | 2016 | 33 | |
| 18 | 2013 | 1 | |
| 19 | Phytochemical Investigation Of Cocculus Pendulus Stem | 1998 | 1 |
| 20 | And then the Pathan murders | 1966 | 2 |
About Mohammad Ali
Mohammad Ali is a scholar working on Endocrinology, Modeling and Simulation and Health, having authored 207 papers that have together received 7.1k indexed citations. Recurring topics across this work include Vibrio bacteria research studies (98 papers), COVID-19 epidemiological studies (49 papers), Vaccine Coverage and Hesitancy (42 papers), Child Nutrition and Water Access (38 papers), Viral gastroenteritis research and epidemiology (36 papers), Salmonella and Campylobacter epidemiology (29 papers), Influenza Virus Research Studies (26 papers) and Escherichia coli research studies (16 papers). The work is most often cited by research in Endocrinology (4.0k citations), Modeling and Simulation (1.2k citations) and Nutrition and Dietetics (1.7k citations). Mohammad Ali has collaborated with scholars based in United States, South Korea and Bangladesh. Frequent co-authors include John D. Clemens, David A. Sack, Anna Lena Lopez, Michael Emch, Mohammad Yunus, Allyson R. Nelson, Lorenz von Seidlein, Jacqueline Deen, Deok Ryun Kim and Dipika Sur. Their work appears in journals such as Vaccine, PLoS ONE, PLoS neglected tropical diseases, Health & Place and International Journal of Health Geographics.
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.