Mohammad Javanbakht

46 papers receiving 411 citations

Peers

Mohammad Javanbakht
Comparison fields: 5 of 114
  • Modeling and Simulation 67
  • Infectious Diseases 135
  • General Dentistry 6
  • Global and Planetary Change 60
  • Neurology 31
Replace Talat Mokhtari‐Azad with:
Talat Mokhtari‐Azad Iran
Zetti Zainol Rashid Malaysia
Jianbo Yan China
Harshwardhan Khandait United States
Diana Fernández United States
Nazanin Zahra Shafiei Jandaghi Iran
Nick Gent United Kingdom
Oliver Mendoza‐Cano Mexico
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Citations per field
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Citations per year

Countries citing papers authored by Mohammad Javanbakht

Since Specialization
Citations

This map shows the geographic impact of Mohammad Javanbakht'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 Javanbakht with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad Javanbakht more than expected).

Fields of papers citing papers by Mohammad Javanbakht

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohammad Javanbakht. 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 Javanbakht. The network helps show where Mohammad Javanbakht may publish in the future.

Co-authors

The 25 scholars most cited alongside Mohammad Javanbakht, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mohammad Javanbakht Line = papers co-authored together Mohammad Javanbakht links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202149
2 202149
3 202036
4 202031
5 202023
6 201818
7 202116
8 202015
9 202115
10 202114
11 202311
12 202010
13 20229
14 20209
15 20228
16 20228
17 20247
18 20217
19 20216
20 20196

About Mohammad Javanbakht

Mohammad Javanbakht is a scholar working on Infectious Diseases, Surgery, Epidemiology, Pulmonary and Respiratory Medicine and Public Health, Environmental and Occupational Health, having authored 54 papers that have together received 423 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (9 papers), SARS-CoV-2 and COVID-19 Research (9 papers), COVID-19 epidemiological studies (5 papers), Long-Term Effects of COVID-19 (4 papers), Research on Leishmaniasis Studies (4 papers), Pleural and Pulmonary Diseases (3 papers), Medical and Biological Ozone Research (3 papers) and Pneumothorax, Barotrauma, Emphysema (3 papers). The work is most often cited by research in Modeling and Simulation (67 citations), Infectious Diseases (135 citations), General Dentistry (6 citations), Global and Planetary Change (60 citations) and Neurology (31 citations). Mohammad Javanbakht has collaborated with scholars based in Iran, Italy and Hong Kong. Frequent co-authors include Luca Cegolon, Sara Attarchi, Meysam Moharrami, Giuseppe Mastrangelo, Shi Zhao, Abedin Saghafipour, Behzad Einollahi, Mohammad Reza Shirzadi, Ramezan Jafari and Saeid Fathi. Their work appears in journals such as Travel Medicine and Infectious Disease, Frontiers in Immunology, BMC Infectious Diseases, Inflammopharmacology and Diabetology & Metabolic Syndrome.

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.

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