Sobur Ali

20 papers receiving 324 citations

Peers

Sobur Ali
Comparison fields: 5 of 77
  • Endocrinology 118
  • Molecular Medicine 70
  • Applied Microbiology and Biotechnology 15
  • Pollution 55
  • Health, Toxicology and Mutagenesis 54
Replace Majid Komijani with:
Majid Komijani Iran
Vânia Santos Braz Brazil
Xiaoling Deng China
Anowara Begum Bangladesh
Tsui-Kang Hsu Taiwan
Susana Araújo Portugal
Chi‐Wei Tao Taiwan
Waheed Ullah Pakistan
Shu‐Min Shen Taiwan
Daojin Yu China
Sobur Ali relative to Majid Komijani Iran Majid Komijani's profile →
Citations per field
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Citations per year

Countries citing papers authored by Sobur Ali

Since Specialization
Citations

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

Fields of papers citing papers by Sobur Ali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202066
2 202165
3 202060
4 198422
5
Production of mucinase and neuraminidase and binding of Shigella to intestinal mucin.
199322
6 202117
7 201016
8 202115
9 202215
10 202310
11 20107
12 20234
13 20224
14 20114
15 20242
16 20252
17 20251
18 20231
19 20241
20 20251

About Sobur Ali

Sobur Ali is a scholar working on Endocrinology, Molecular Biology, Molecular Medicine, Infectious Diseases and Modeling and Simulation, having authored 22 papers that have together received 335 indexed citations. Recurring topics across this work include Vibrio bacteria research studies (5 papers), Antibiotic Resistance in Bacteria (5 papers), COVID-19 epidemiological studies (4 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Escherichia coli research studies (4 papers), SARS-CoV-2 detection and testing (3 papers), Vaccine Coverage and Hesitancy (2 papers) and Probiotics and Fermented Foods (2 papers). The work is most often cited by research in Endocrinology (118 citations), Molecular Medicine (70 citations), Applied Microbiology and Biotechnology (15 citations), Pollution (55 citations) and Health, Toxicology and Mutagenesis (54 citations). Sobur Ali has collaborated with scholars based in United States, Bangladesh and Italy. Frequent co-authors include Zahid Hayat Mahmud, Md. Moniruzzaman, M. Shafiqul Islam, Md. Anowar Khasru Parvez, Khan Mohammad Imran, Dinesh Mondal, Abu Baker Siddique, Mohammed A. Amin, Naved Ahmad and Senjuti Kabir. Their work appears in journals such as Frontiers in Public Health, International Journal of Environmental Research and Public Health, Infection and Immunity, Pharmaceuticals and BMC Public 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.

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