Ariful Islam
Impact in
Papers in
-
- Peroxisome Proliferator-Activated Receptors 10
-
- Neuropeptides and Animal Physiology 4
- Co-authors
- Yoshiteru Kagawa (11 shared papers)Yuji Owada (12 shared papers)Yui Yamamoto (10 shared papers)Hirofumi Miyazaki (10 shared papers)Yuki Yasumoto (9 shared papers)Majid Ebrahimi (7 shared papers)Kazem Sharifi (6 shared papers)Takeo Yoshikawa (3 shared papers)
- Journals
- Glia (2 papers)Molecular Neurobiology (2 papers)Journal of Neuroscience (1 paper)Histochemistry and Cell Biology (1 paper)American Journal Of Pathology (1 paper)
- Partner nations
- JapanBangladeshBelarus
In The Last Decade
Ariful Islam
12 papers receiving 372 citations
Peers
Comparison fields: 5 of 62
- Developmental Neuroscience 29
- Biological Psychiatry 17
- Biochemistry 49
- Neurology 51
- Cellular and Molecular Neuroscience 82
Countries citing papers authored by Ariful Islam
This map shows the geographic impact of 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 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 Ariful Islam more than expected).
Fields of papers citing papers by Ariful Islam
This network shows the impact of papers produced by 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 Ariful Islam. The network helps show where Ariful Islam may publish in the future.
Co-authors
The 25 scholars most cited alongside Ariful Islam, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 80 | |
| 2 | 2019 | 61 | |
| 3 | 2015 | 49 | |
| 4 | 2014 | 40 | |
| 5 | 2013 | 37 | |
| 6 | 2018 | 35 | |
| 7 | 2018 | 25 | |
| 8 | 2018 | 17 | |
| 9 | 2012 | 17 | |
| 10 | 2014 | 13 | |
| 11 | 2016 | 2 | |
| 12 | Fatty Acid Binding Protein 3 (FABP3) Deficiency Does Not Impact on Feto-Placental Morphometry and Fatty Acid Transporters in Mice | 2015 | 1 |
About Ariful Islam
Ariful Islam is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Pediatrics, Perinatology and Child Health, Nutrition and Dietetics and Obstetrics and Gynecology, having authored 12 papers that have together received 377 indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (10 papers), Neuropeptides and Animal Physiology (4 papers), Birth, Development, and Health (3 papers), Immune Response and Inflammation (2 papers), Fatty Acid Research and Health (2 papers), Pregnancy and preeclampsia studies (2 papers), Alcohol Consumption and Health Effects (1 paper) and Cancer, Hypoxia, and Metabolism (1 paper). The work is most often cited by research in Developmental Neuroscience (29 citations), Biological Psychiatry (17 citations), Biochemistry (49 citations), Neurology (51 citations) and Cellular and Molecular Neuroscience (82 citations). Ariful Islam has collaborated with scholars based in Japan, Bangladesh and Belarus. Frequent co-authors include Yoshiteru Kagawa, Yuji Owada, Yui Yamamoto, Hirofumi Miyazaki, Yuki Yasumoto, Majid Ebrahimi, Kazem Sharifi, Takeo Yoshikawa, Banlanjo Abdulaziz Umaru and Subrata Kumar Shil. Their work appears in journals such as Glia, Molecular Neurobiology, Journal of Neuroscience, Histochemistry and Cell Biology and American Journal Of Pathology.
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.