Md. Rabiul Islam

15.9k total citations · 3 hit papers
235 papers, 3.8k citations indexed

About

Md. Rabiul Islam is a scholar working on Infectious Diseases, Clinical Psychology and Biological Psychiatry. According to data from OpenAlex, Md. Rabiul Islam has authored 235 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Infectious Diseases, 35 papers in Clinical Psychology and 30 papers in Biological Psychiatry. Recurrent topics in Md. Rabiul Islam's work include Tryptophan and brain disorders (30 papers), SARS-CoV-2 and COVID-19 Research (29 papers) and Stress Responses and Cortisol (28 papers). Md. Rabiul Islam is often cited by papers focused on Tryptophan and brain disorders (30 papers), SARS-CoV-2 and COVID-19 Research (29 papers) and Stress Responses and Cortisol (28 papers). Md. Rabiul Islam collaborates with scholars based in Bangladesh, India and United States. Md. Rabiul Islam's co-authors include Md. Jamal Hossain, Sohel Daria, Mohiuddin Ahmed Bhuiyan, Mohammad Shahriar, Md. Al‐Mamun, Rajesh Das, Zabun Nahar, Sardar Mohammad Ashraful Islam, M. M. A. Shalahuddin Qusar and Arpita Roy and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Md. Rabiul Islam

221 papers receiving 3.8k citations

Hit Papers

Flavonoids a Bioactive Compound from Medicinal Plants and... 2022 2026 2023 2024 2022 2024 2022 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Md. Rabiul Islam Bangladesh 30 708 588 534 519 437 235 3.8k
Omar F. Khabour Jordan 37 517 0.7× 283 0.5× 1.0k 1.9× 232 0.4× 342 0.8× 343 5.8k
Karem H. Alzoubi Jordan 48 291 0.4× 374 0.6× 1.9k 3.5× 477 0.9× 702 1.6× 569 9.2k
Hyunju Kim South Korea 36 260 0.4× 260 0.4× 1.2k 2.3× 411 0.8× 163 0.4× 280 5.9k
Tingting Gao China 29 4.4k 6.3× 381 0.6× 1.5k 2.7× 232 0.4× 154 0.4× 169 8.7k
Lily Stojanovska Australia 38 233 0.3× 656 1.1× 975 1.8× 159 0.3× 80 0.2× 147 5.2k
Nicole E. Johns United States 20 382 0.5× 1.6k 2.7× 449 0.8× 391 0.8× 218 0.5× 82 9.6k
David Furman United States 26 707 1.0× 161 0.3× 1.9k 3.5× 368 0.7× 223 0.5× 53 7.0k
Anca Oana Docea Romania 53 901 1.3× 175 0.3× 2.1k 3.9× 131 0.3× 47 0.1× 169 8.6k
Jaykaran Charan India 24 878 1.2× 279 0.5× 680 1.3× 52 0.1× 43 0.1× 99 5.2k
Roberta Pacifici Italy 50 146 0.2× 1.1k 1.9× 1.1k 2.1× 209 0.4× 186 0.4× 308 8.8k

Countries citing papers authored by Md. Rabiul Islam

Since Specialization
Citations

This map shows the geographic impact of Md. Rabiul 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. Rabiul 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. Rabiul Islam more than expected).

Fields of papers citing papers by Md. Rabiul Islam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Md. Rabiul Islam. A scholar is included among the top collaborators of Md. Rabiul 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. Rabiul Islam. Md. Rabiul 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
2.
Zaman, Muhammad, Asif Mahmood, Azmat Ali Khan, et al.. (2024). Sustained release delivery of favipiravir through statistically optimized, chemically cross-linked, pH-sensitive, swellable hydrogel. BMC Pharmacology and Toxicology. 25(1). 31–31. 4 indexed citations
3.
Roknuzzaman, A. S. M., et al.. (2024). Evaluation of serum interleukin-12 and interleukin-4 as potential biomarkers for the diagnosis of major depressive disorder. Scientific Reports. 14(1). 1652–1652. 10 indexed citations
4.
Barek, Md Abdul, et al.. (2023). Evaluation of the Association between FGFR2 Gene Polymorphisms and Breast Cancer Risk in the Bangladeshi Population. Genes. 14(4). 819–819. 5 indexed citations
5.
Islam, Md. Rabiul, et al.. (2023). Assessment of risk perception and subjective norms related to Mpox (monkeypox) among adult males in Bangladesh: A cross‐sectional study. Health Science Reports. 6(6). e1352–e1352. 3 indexed citations
6.
Ahmed, Sirwan Khalid, et al.. (2023). The power of ChatGPT in revolutionizing rural healthcare delivery. Health Science Reports. 6(11). e1684–e1684. 16 indexed citations
7.
Islam, Md. Rabiul, et al.. (2023). Role of ChatGPT in health science and research: A correspondence addressing potential application. Health Science Reports. 6(10). e1625–e1625. 22 indexed citations
8.
9.
Qusar, M. M. A. Shalahuddin, et al.. (2023). Association of reduced serum EGF and leptin levels with the pathophysiology of major depressive disorder: A case-control study. PLoS ONE. 18(7). e0288159–e0288159. 10 indexed citations
10.
11.
Rahman, Md. Ashrafur, Asim Kumar Bepari, Manik Chandra Shill, et al.. (2022). Curcumin improves D-galactose and normal-aging associated memory impairment in mice: In vivo and in silico-based studies. PLoS ONE. 17(6). e0270123–e0270123. 17 indexed citations
12.
Daria, Sohel, et al.. (2022). Monocyte chemoattractant protein-1 levels are associated with major depressive disorder. Journal of Basic and Clinical Physiology and Pharmacology. 33(6). 735–741. 22 indexed citations
13.
Dhama, Kuldeep, Firzan Nainu, Andri Frediansyah, et al.. (2022). Global emerging Omicron variant of SARS-CoV-2: Impacts, challenges and strategies. Journal of Infection and Public Health. 16(1). 4–14. 144 indexed citations breakdown →
14.
Das, Rajesh, Mohammad Shahriar, Zabun Nahar, et al.. (2020). Higher levels of serum IL-1β and TNF-α are associated with an increased probability of major depressive disorder. Psychiatry Research. 295. 113568–113568. 95 indexed citations
16.
Islam, Md. Rabiul, Mohammad Fahim Kadir, Maizbha Uddin Ahmed, et al.. (2020). Evaluation of serum amino acids and non-enzymatic antioxidants in drug-naïve first-episode major depressive disorder. BMC Psychiatry. 20(1). 333–333. 62 indexed citations
17.
Islam, Md. Rabiul, Md. Rabiul Islam, Md. Reazul Islam, et al.. (2018). Elevated serum levels of malondialdehyde and cortisol are associated with major depressive disorder: A case-control study. SAGE Open Medicine. 6. 2105845953–2105845953. 76 indexed citations
18.
Islam, Md. Rabiul, Md. Reazul Islam, M. M. A. Shalahuddin Qusar, et al.. (2018). Alterations of serum macro-minerals and trace elements are associated with major depressive disorder: a case-control study. BMC Psychiatry. 18(1). 94–94. 98 indexed citations
19.
Reza, A.S.M. Ali, et al.. (2018). Evaluation of morning glory ( Jacquemontia tamnifolia (L.) Griseb) leaves for antioxidant, antinociceptive, anticoagulant and cytotoxic activities. Journal of Basic and Clinical Physiology and Pharmacology. 29(3). 291–299. 16 indexed citations
20.
Ansari, Prawej, et al.. (2016). Anti-inflammatory, anti-diarrheal, thrombolytic and cytotoxic activities of an ornamental medicinal plant: Persicaria orientalis. Journal of Basic and Clinical Physiology and Pharmacology. 28(1). 51–58. 33 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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