Farhadul Islam

3.2k citations
132 papers · 2.4k indexed · h-index 29

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Cancer, Hypoxia, and Metabolism
  • Oncology top 5%
    • Cancer Cells and Metastasis

Papers in

    • MicroRNA in disease regulation 14
    • Cancer-related molecular mechanisms research 11
    • Cancer, Hypoxia, and Metabolism 9

Farhadul Islam

123 papers receiving 2.3k citations

Peers

Farhadul Islam
Comparison fields: 5 of 141
  • Cancer Research 614
  • Oncology 556
  • Molecular Biology 1.2k
  • Pharmacology 116
  • Biochemistry 71
Replace Yu Ke with:
Yu Ke China
Wei Han China
Chao Han China
Mitsuru Futakuchi Japan
Yuan‐Soon Ho Taiwan
Rong Lu China
Xiukun Lin China
Gurjeet Kaur Malaysia
Srimanta Patra India
Myeong‐Sok Lee South Korea
Farhadul Islam relative to Yu Ke China Yu Ke's profile →
Citations per field
00.5×2.6×
Yu Ke · 1×
Citations per year

Countries citing papers authored by Farhadul Islam

Since Specialization
Citations

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

Fields of papers citing papers by Farhadul Islam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 202417
4 20240
5 20232
6 202310
7 202211
8 20216
9 202017
10 20209
11 2020152
12 20207
13 20191
14 201826
15 20186
16 201725
17 201728
18 201747
19 201589
20 201560

About Farhadul Islam

Farhadul Islam is a scholar working on Drug Discovery, Cancer Research, Toxicology, Pharmacology and Oncology, having authored 132 papers that have together received 2.4k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (18 papers), MicroRNA in disease regulation (14 papers), Epigenetics and DNA Methylation (13 papers), Circular RNAs in diseases (12 papers), Cancer-related molecular mechanisms research (11 papers), RNA modifications and cancer (10 papers), Cancer, Hypoxia, and Metabolism (9 papers) and Extraction and Separation Processes (8 papers). The work is most often cited by research in Cancer Research (614 citations), Oncology (556 citations), Molecular Biology (1.2k citations), Pharmacology (116 citations) and Biochemistry (71 citations). Farhadul Islam has collaborated with scholars based in Bangladesh, Australia and China. Frequent co-authors include Alfred K. Lam, Vinod Gopalan, Plabon Kumar Das, R.K. Biswas, Robert A. Smith, Riajul Wahab, Syed Rashel Kabir, Jahan Ara Khanam, Cu‐Tai Lu and Suja Pillai. Their work appears in journals such as Cancer Medicine, Anti-Cancer Agents in Medicinal Chemistry, Hydrometallurgy, Human Pathology and Experimental Cell Research.

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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