Mojnu Miah

573 citations
26 papers · 366 · h-index 11

Impact in

    • Vibrio bacteria research studies
    • SARS-CoV-2 and COVID-19 Research
    • Viral gastroenteritis research and epidemiology
    • COVID-19 Clinical Research Studies

Papers in

Mojnu Miah

25 papers receiving 349 citations

Peers

Mojnu Miah
Comparison fields: 5 of 72
  • Endocrinology 130
  • Infectious Diseases 156
  • Modeling and Simulation 35
  • Immunology 64
  • Food Science 53
Replace Xu Xie with:
Xu Xie China
M K Hasan Bangladesh
Lei Meng China
Amanda K. Debes United States
Nicola Cumley United Kingdom
Xinwei Wu China
Unai Pérez‐Sautu Spain
Bradford P. Taylor United States
Katsuya Taira Japan
Wanshen Guo China
Mojnu Miah relative to Xu Xie China Xu Xie's profile →
Citations per field
00.5×2.6×
Xu Xie · 1×
Citations per year

Countries citing papers authored by Mojnu Miah

Since Specialization
Citations

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

Fields of papers citing papers by Mojnu Miah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mojnu Miah, 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 Mojnu Miah Line = papers co-authored together Mojnu Miah links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202267
2 199366
3 199455
4 199446
5 202216
6 202116
7 202015
8 202211
9 202011
10 202311
11 201910
12 20237
13 20216
14 19945
15 20215
16 19953
17 20213
18 20233
19 20223
20 20242

About Mojnu Miah

Mojnu Miah is a scholar working on Infectious Diseases, Animal Science and Zoology, Epidemiology, Endocrinology and Molecular Biology, having authored 26 papers that have together received 366 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (8 papers), Viral gastroenteritis research and epidemiology (7 papers), Animal Virus Infections Studies (6 papers), Influenza Virus Research Studies (5 papers), Vibrio bacteria research studies (5 papers), Hepatitis Viruses Studies and Epidemiology (4 papers), SARS-CoV-2 detection and testing (3 papers) and vaccines and immunoinformatics approaches (3 papers). The work is most often cited by research in Endocrinology (130 citations), Infectious Diseases (156 citations), Modeling and Simulation (35 citations), Immunology (64 citations) and Food Science (53 citations). Mojnu Miah has collaborated with scholars based in Bangladesh, United States and Australia. Frequent co-authors include M K Hasan, M. Sirajul Islam, R. Bradley Sack, M. John Albert, Mohammad Enayet Hossain, Mohammed Ziaur Rahman, Khalequ Zaman, Mohammad Yunus, Malabi M. Venkatesan and M. John Albert. Their work appears in journals such as Transactions of the Royal Society of Tropical Medicine and Hygiene, Applied and Environmental Microbiology, Microbiology Spectrum, Microbial Pathogenesis 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.

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