Mohammad Ariful Islam

715 citations
25 papers · 624 indexed · h-index 15
Topics
RNA Interference and Gene Delivery (12 papers)Virus-based gene therapy research (6 papers)Advanced biosensing and bioanalysis techniques (6 papers)

In The Last Decade

Mohammad Ariful Islam

25 papers receiving 614 citations

Peers

Mohammad Ariful Islam
Comparison fields: 5 of 85
  • Molecular Biology 402
  • Genetics 139
  • Biomaterials 82
  • Food Science 68
  • Oncology 64
Replace Sixuan Wu with:
Sixuan Wu China
Stefan Hoffmann Germany
Peter Spacciapoli United States
Zixiu Du China
Zhongmin Geng China
Jun F. Liang United States
D. Ibraheem France
Francesca Mastrotto Italy
Jae Joon Koh United States
Wen‐Chi Tseng Taiwan
Mohammad Ariful Islam relative to Sixuan Wu China Sixuan Wu's profile →
Citations per field
00.5×7.2×
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Citations per year

Countries citing papers authored by Mohammad Ariful Islam

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Ariful Islam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammad Ariful Islam

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Ariful Islam. A scholar is included among the top collaborators of Mohammad Ariful Islam 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 Mohammad Ariful Islam. Mohammad Ariful Islam 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 13
2 7
3 6
4 7
5 17
6 10
7 121
8 9
9 18
10 14
11 40
12 22
13 20
14 34
15 40
16 10
17 9
18 41
19 7
20 75

About Mohammad Ariful Islam

Mohammad Ariful Islam is a scholar working on Endocrinology, Pharmaceutical Science and Microbiology, having authored 25 papers that have together received 624 indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (12 papers), Virus-based gene therapy research (6 papers) and Advanced biosensing and bioanalysis techniques (6 papers). The work is most often cited by research in Pharmaceutical Science (45 citations), Biomaterials (82 citations) and Molecular Biology (402 citations). Mohammad Ariful Islam has collaborated with scholars based in South Korea, United States and Germany. Frequent co-authors include Chong‐Su Cho, Yun‐Jaie Choi, Myung‐Haing Cho, Cheol‐Heui Yun, Sang‐Kee Kang, Jannatul Firdous, Tae‐Eun Park, Bijay Singh, Sushila Maharjan and You-Kyoung Kim. Their work appears in journals such as Biomaterials, Journal of Controlled Release and Progress in Materials Science.

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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