Md. Robiul Hasan

656 citations
23 papers · 451 indexed · h-index 12
Topics
Computational Drug Discovery Methods (6 papers)SARS-CoV-2 and COVID-19 Research (3 papers)vaccines and immunoinformatics approaches (3 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEThe Journal of Biochemistry

In The Last Decade

Md. Robiul Hasan

22 papers receiving 435 citations

Peers

Md. Robiul Hasan
Comparison fields: 5 of 116
  • Molecular Biology 128
  • Computational Theory and Mathematics 80
  • Sociology and Political Science 69
  • Infectious Diseases 60
  • Global and Planetary Change 39
Replace Amina Bouslimani with:
Amina Bouslimani United States
Sidra Aslam Pakistan
Prasannavenkatesh Durai South Korea
Zahid Hussain Pakistan
Akshay R. Yadav India
Emmanuel Taiwo Idowu Nigeria
Joyce Villa Verde Bastos Borba Brazil
Huijie Chen China
Ragothaman Prathiviraj India
Caio Haddad Franco Brazil
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Citations per field
00.5×4.3×
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Citations per year

Countries citing papers authored by Md. Robiul Hasan

Since Specialization
Citations

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

Fields of papers citing papers by Md. Robiul Hasan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Md. Robiul Hasan. 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 Md. Robiul Hasan. The network helps show where Md. Robiul Hasan may publish in the future.

Co-authorship network of co-authors of Md. Robiul Hasan

This figure shows the co-authorship network connecting the top 25 collaborators of Md. Robiul Hasan. A scholar is included among the top collaborators of Md. Robiul Hasan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Md. Robiul Hasan. Md. Robiul Hasan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 5
3 4
4 8
5 4
6 4
7 13
8 43
9 26
10 34
11 67
12 53
13 12
14 55
15 0
16 7
17 4
18 51
19 2
20 15

About Md. Robiul Hasan

Md. Robiul Hasan is a scholar working on Aquatic Science, Computational Theory and Mathematics and Microbiology, having authored 23 papers that have together received 451 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (6 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and vaccines and immunoinformatics approaches (3 papers). The work is most often cited by research in Computational Theory and Mathematics (80 citations), Toxicology (12 citations) and Aquatic Science (24 citations). Md. Robiul Hasan has collaborated with scholars based in Bangladesh, Saudi Arabia and Jordan. Frequent co-authors include Md. Arif Chowdhury, Shamima Afrose, Suvro Biswas, Shafi Mahmud, Md. Abu Saleh, Mahbuba Nasreen, Gobindo Kumar Paul, Mst. Sharmin Sultana Shimu, Md. Khalid Hasan and Talha Bin Emran. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Journal of Biochemistry.

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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