Md. Nurul Islam

3.4k total citations
96 papers, 2.5k citations indexed

About

Md. Nurul Islam is a scholar working on Molecular Biology, Plant Science and Cell Biology. According to data from OpenAlex, Md. Nurul Islam has authored 96 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 17 papers in Plant Science and 14 papers in Cell Biology. Recurrent topics in Md. Nurul Islam's work include Natural Antidiabetic Agents Studies (10 papers), Phytochemicals and Antioxidant Activities (7 papers) and Seaweed-derived Bioactive Compounds (7 papers). Md. Nurul Islam is often cited by papers focused on Natural Antidiabetic Agents Studies (10 papers), Phytochemicals and Antioxidant Activities (7 papers) and Seaweed-derived Bioactive Compounds (7 papers). Md. Nurul Islam collaborates with scholars based in Bangladesh, South Korea and Japan. Md. Nurul Islam's co-authors include Jae Sue Choi, Hyun Ah Jung, Hee Sook Sohn, Yeong Shik Kim, Md Yousof Ali, Young‐Myeong Kim, Ran Joo Choi, Bo Ra Ahn, Seong Eun Jin and Jin Ju Park and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Md. Nurul Islam

86 papers receiving 2.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Md. Nurul Islam Bangladesh 26 1.0k 510 442 345 328 96 2.5k
Chul Young Kim South Korea 33 1.4k 1.3× 644 1.3× 353 0.8× 295 0.9× 161 0.5× 139 3.1k
Hiroshi Shimoda Japan 32 901 0.9× 738 1.4× 486 1.1× 546 1.6× 529 1.6× 102 3.2k
Tae Hoon Kim South Korea 26 740 0.7× 506 1.0× 363 0.8× 325 0.9× 170 0.5× 151 2.1k
Daniela Ribeiro Portugal 28 918 0.9× 487 1.0× 389 0.9× 655 1.9× 524 1.6× 69 2.8k
Kuk Hyun Shin South Korea 34 1.3k 1.2× 740 1.5× 438 1.0× 307 0.9× 229 0.7× 73 2.7k
Opeyemi Joshua Olatunji China 27 754 0.7× 576 1.1× 535 1.2× 213 0.6× 392 1.2× 143 2.5k
Sung Keun Jung South Korea 31 1.3k 1.3× 492 1.0× 259 0.6× 515 1.5× 136 0.4× 125 2.9k
Cristina Luceri Italy 36 1.7k 1.6× 328 0.6× 214 0.5× 514 1.5× 209 0.6× 130 4.1k
В. Г. Макаров Russia 27 728 0.7× 553 1.1× 183 0.4× 325 0.9× 154 0.5× 137 2.1k
Nam Joo Kang South Korea 32 1.3k 1.2× 309 0.6× 245 0.6× 658 1.9× 136 0.4× 71 2.7k

Countries citing papers authored by Md. Nurul Islam

Since Specialization
Citations

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

Fields of papers citing papers by Md. Nurul Islam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Md. Nurul Islam

This figure shows the co-authorship network connecting the top 25 collaborators of Md. Nurul Islam. A scholar is included among the top collaborators of Md. Nurul 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 Md. Nurul Islam. Md. Nurul 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
1.
Akash, Shopnil, et al.. (2025). Comprehensive profiling and therapeutic potential of Nypa fruticans leaves: Unveiling analgesic and anti-inflammatory properties via in vivo and in silico approaches. Biocatalysis and Agricultural Biotechnology. 65. 103558–103558. 1 indexed citations
2.
Haque, Md. Azizul, et al.. (2025). Japanese Encephalitis: A Clinical Review. Journal of Medicine. 26(1). 48–55. 1 indexed citations
3.
Sadhukhan, Tamal, et al.. (2025). Role of LncRNA in Trauma Susceptibility and Resilience to Post-Traumatic Stress Disorder (PTSD): A Pilot Study in the African American Population. Neuropsychiatric Disease and Treatment. Volume 21. 1469–1479.
4.
Abdullah, Hasan Muhammad, et al.. (2025). Cotton seedling monitoring and growth stage classification integrating deep learning and feature engineering. Smart Agricultural Technology. 12. 101619–101619.
5.
Islam, Md. Nurul, Mạnh Tuấn Hà, Byung Sun Min, Jae Sue Choi, & Hyun‐Ah Jung. (2025). Unveiling the Multitarget Potential of a Rare Caffeoyl Ester from Artemisia capillaris for Diabetes Mellitus: An Integrated In Vitro and In Silico Study. International Journal of Molecular Sciences. 26(3). 1286–1286.
8.
Ahmed, Sabbir, et al.. (2024). Novel Antiviral Phytochemicals Against Dengue Virus 2 NS2B‐NS3 Protease: An In Silico Drug Development Approach. ChemistrySelect. 9(47). 2 indexed citations
9.
Rabbee, Muhammad Fazle, Md. Sarafat Ali, Md. Nurul Islam, et al.. (2024). Endophyte mediated biocontrol mechanisms of phytopathogens in agriculture. Research in Microbiology. 175(8). 104229–104229. 9 indexed citations
10.
11.
Sohel, Md, Partha Biswas, Md. Al Amin, et al.. (2022). Genistein, a Potential Phytochemical against Breast Cancer Treatment-Insight into the Molecular Mechanisms. Processes. 10(2). 415–415. 56 indexed citations
12.
Li, James, Sarah R. Greytak, Ping Guan, et al.. (2022). Formalin Fixation, Delay to Fixation, and Time in Fixative Adversely Impact Copy Number Variation Analysis by aCGH. Biopreservation and Biobanking. 21(4). 407–416. 2 indexed citations
13.
Akter, Raushanara, Md. Nurul Islam, Ferdous Khan, et al.. (2022). Resveratrol treatment modulates several antioxidant and anti-inflammatory genes expression and ameliorated oxidative stress mediated fibrosis in the kidneys of high-fat diet-fed rats. Saudi Pharmaceutical Journal. 30(10). 1454–1463. 20 indexed citations
14.
Sohel, Md, Md. Nurul Islam, Md. Arju Hossain, et al.. (2022). Pharmacological Properties to Pharmacological Insight of Sesamin in Breast Cancer Treatment: A Literature-Based Review Study. International Journal of Breast Cancer. 2022. 1–13. 21 indexed citations
15.
Rahman, S.M. Ashrafur, Md. Nurun Nabi, Thuy Chu Van, et al.. (2018). Performance and Combustion Characteristics Analysis of Multi-Cylinder CI Engine Using Essential Oil Blends. Energies. 11(4). 738–738. 25 indexed citations
16.
Islam, Md. Nurul, et al.. (2016). Partial replacement of skim milk with coconut milk for preparation of dahi.. Fundamental and applied agriculture. 1(1). 12–16. 1 indexed citations
17.
Islam, Md. Nurul, Md. Golam Hossain, Md. Rezaul Karim, et al.. (2012). Simulating Gene Expression Data To Estimate Sample Size For Class and Biomarker Discovery. 4(2). 44–51. 10 indexed citations
18.
Jung, Hyun Ah, et al.. (2012). Promising antidiabetic potential of fucoxanthin isolated from the edible brown algae Eisenia bicyclis and Undaria pinnatifida. Fisheries Science. 78(6). 1321–1329. 52 indexed citations
19.
Islam, Md. Nurul, et al.. (2012). In vitro antioxidant and anti-inflammatory activities of Angelica decursiva. Archives of Pharmacal Research. 35(1). 179–192. 68 indexed citations
20.
Islam, Md. Shahidul, Md. Nurul Islam, Tamaki Kato, et al.. (2011). Evaluation of functional groups on amino acids in cyclic tetrapeptides in histone deacetylase inhibition. Amino Acids. 42(6). 2103–2110. 15 indexed citations

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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