Mohammad Javad Nasiri
- Infectious Diseases top 0.5%
- Tuberculosis Research and Epidemiology 59
- COVID-19 Clinical Research Studies 19
- Antimicrobial Resistance in Staphylococcus 18
- Molecular Medicine top 1%
- Antibiotic Resistance in Bacteria 19
- Microbiology top 2%
- Clinical Biochemistry top 2%
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- Mycobacterium research and diagnosis 40
- Pneumocystis jirovecii pneumonia detection and treatment 18
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- Infectious Diseases and Tuberculosis 22
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- Bacterial biofilms and quorum sensing 14
- Co-authors
- Ali PormohammadTaher AzimiMehdi GoudarziMehdi MirsaeidiHossein DabiriBahareh HajikhaniMasoud DadashiAbbas Ali Imani Fooladi
- Journals
- SHILAP Revista de lepidopterología (8 papers)PLoS ONE (6 papers)Scientific Reports (3 papers)
- Partner nations
- IranUnited StatesItaly
In The Last Decade
Mohammad Javad Nasiri
175 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 161
- Infectious Diseases 1.6k
- Molecular Medicine 407
- Applied Microbiology and Biotechnology 151
- Microbiology 259
- Clinical Biochemistry 231
Countries citing papers authored by Mohammad Javad Nasiri
This map shows the geographic impact of Mohammad Javad Nasiri'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 Javad Nasiri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad Javad Nasiri more than expected).
Fields of papers citing papers by Mohammad Javad Nasiri
This network shows the impact of papers produced by Mohammad Javad Nasiri. 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 Javad Nasiri. The network helps show where Mohammad Javad Nasiri may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mohammad Javad Nasiri, 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 | 2024 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 0 | |
| 6 | 2022 | 2 | |
| 7 | 2022 | 2 | |
| 8 | 2022 | 7 | |
| 9 | 2022 | 11 | |
| 10 | 2022 | 2 | |
| 11 | 2022 | 18 | |
| 12 | 2022 | 18 | |
| 13 | 2021 | 1 | |
| 14 | 2021 | 1 | |
| 15 | 2021 | 1 | |
| 16 | 2020 | 3 | |
| 17 | 2020 | 7 | |
| 18 | 2019 | 14 | |
| 19 | 2019 | 1 | |
| 20 | 2019 | 1 |
About Mohammad Javad Nasiri
Mohammad Javad Nasiri is a scholar working on Applied Microbiology and Biotechnology, Infectious Diseases and Molecular Medicine, having authored 190 papers that have together received 3.3k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (59 papers), Mycobacterium research and diagnosis (40 papers), Infectious Diseases and Tuberculosis (22 papers), Antibiotic Resistance in Bacteria (19 papers), COVID-19 Clinical Research Studies (19 papers), Pneumocystis jirovecii pneumonia detection and treatment (18 papers), Antimicrobial Resistance in Staphylococcus (18 papers) and Bacterial biofilms and quorum sensing (14 papers). The work is most often cited by research in Infectious Diseases (1.6k citations), Molecular Medicine (407 citations) and Applied Microbiology and Biotechnology (151 citations). Mohammad Javad Nasiri has collaborated with scholars based in Iran, United States and Italy. Frequent co-authors include Ali Pormohammad, Taher Azimi, Mehdi Goudarzi, Mehdi Mirsaeidi, Hossein Dabiri, Bahareh Hajikhani, Masoud Dadashi, Abbas Ali Imani Fooladi, Parnian Jamshidi and Mohsen Heidary. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.