Begum Rokeya

1.9k total citations
55 papers, 1.4k citations indexed

About

Begum Rokeya is a scholar working on Endocrinology, Diabetes and Metabolism, Plant Science and Molecular Biology. According to data from OpenAlex, Begum Rokeya has authored 55 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Endocrinology, Diabetes and Metabolism, 14 papers in Plant Science and 11 papers in Molecular Biology. Recurrent topics in Begum Rokeya's work include Natural Antidiabetic Agents Studies (38 papers), Diet, Metabolism, and Disease (10 papers) and Pharmacology and Obesity Treatment (7 papers). Begum Rokeya is often cited by papers focused on Natural Antidiabetic Agents Studies (38 papers), Diet, Metabolism, and Disease (10 papers) and Pharmacology and Obesity Treatment (7 papers). Begum Rokeya collaborates with scholars based in Bangladesh, United Kingdom and Cameroon. Begum Rokeya's co-authors include Liaquat Ali, J. M. A. Hannan, Yasser H.A. Abdel‐Wahab, Peter R. Flatt, Nilufar Nahar, Masfida Akhter, M Mosihuzzaman, AKA Khan, M. Mosihuzzaman and Lamin Marenah and has published in prestigious journals such as SHILAP Revista de lepidopterología, Molecules and Journal of Ethnopharmacology.

In The Last Decade

Begum Rokeya

50 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Begum Rokeya Bangladesh 19 783 416 293 239 223 55 1.4k
P. Daisy India 21 752 1.0× 470 1.1× 294 1.0× 373 1.6× 231 1.0× 32 1.6k
Savarimuthu Ignacimuthu India 19 662 0.8× 470 1.1× 256 0.9× 477 2.0× 264 1.2× 34 1.6k
K. Rajendran India 12 548 0.7× 362 0.9× 140 0.5× 243 1.0× 264 1.2× 31 1.2k
Ahmed Lemhadri France 19 694 0.9× 816 2.0× 305 1.0× 325 1.4× 307 1.4× 28 1.6k
H. Jouad France 11 555 0.7× 742 1.8× 270 0.9× 231 1.0× 252 1.1× 12 1.4k
Christudas Sunil United States 23 420 0.5× 392 0.9× 169 0.6× 435 1.8× 242 1.1× 41 1.4k
Om Prakash India 12 546 0.7× 403 1.0× 150 0.5× 269 1.1× 327 1.5× 16 1.1k
Mhamed Maghrani France 20 693 0.9× 815 2.0× 324 1.1× 315 1.3× 346 1.6× 26 1.6k
Item Justin Atangwho Nigeria 20 544 0.7× 428 1.0× 125 0.4× 210 0.9× 162 0.7× 65 1.2k
Efere M. Obuotor Nigeria 18 359 0.5× 709 1.7× 304 1.0× 300 1.3× 297 1.3× 80 1.6k

Countries citing papers authored by Begum Rokeya

Since Specialization
Citations

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

Fields of papers citing papers by Begum Rokeya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Begum Rokeya

This figure shows the co-authorship network connecting the top 25 collaborators of Begum Rokeya. A scholar is included among the top collaborators of Begum Rokeya 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 Begum Rokeya. Begum Rokeya 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.
Rahman, Hafizur, et al.. (2023). Elucidation of anti-hyperglycemic activity of Psidium guajava L. leaves extract on streptozotocin induced neonatal diabetic Long-Evans rats. Journal of Ayurveda and Integrative Medicine. 14(5). 100776–100776. 7 indexed citations
2.
3.
Akter, Farjana, et al.. (2022). Cocos Nucifera Endocarp Extract Exhibits Anti-diabetic and Antilipidemic Activities in Diabetic Rat Model. SHILAP Revista de lepidopterología. 3 indexed citations
4.
Shakil, Md Salman, Md. Ashraful Hasan, Aminul Islam, et al.. (2020). In Vivo Toxicity Studies of Chitosan-Coated Cobalt Ferrite Nanocomplex for Its Application as MRI Contrast Dye. ACS Applied Bio Materials. 3(11). 7952–7964. 47 indexed citations
5.
Ahmed, Zakaria, et al.. (2019). Potential Healing Powers with Jute Plant- A Review. International Journal of Sciences: Basic and Applied Research. 48(5). 10–23. 1 indexed citations
6.
7.
Akhter, Masfida, et al.. (2017). Effect of aqueous extract of Aegle marmelos fruit and leaf on glycemic, insulinemic and lipidemic status of type 2 diabetic model rats. Journal of Complementary and Integrative Medicine. 14(2). 13 indexed citations
8.
Islam, Md. Ariful, et al.. (2017). Biological Investigation of Jatropha gossypiifolia: A Stiff Medicinal Plant in Bangladesh. Iranian journal of pharmaceutical sciences. 13(1). 35–48. 2 indexed citations
9.
Uddin, Shihab, et al.. (2016). Amaranthus viridis modulates anti-hyperglycemic pathways in hemi-diaphragm and improves glycogenesis liver function in rats. Journal of Pharmacognosy and Phytotherapy. 8(10). 173–181. 12 indexed citations
10.
Rahman, Mohammad Mizanur, et al.. (2013). HYPOGLYCEMIC EFFECT OF NYCTANTHES ARBORTRISTIS LINN EXTRACTS IN NORMAL AND STREPTOZOTOCIN-INDUCED DIABETIC RATS. 2 indexed citations
11.
Hossain, Sheikh Julfikar, et al.. (2012). Evaluation of antioxidant, antidiabetic and antibacterial activities of the fruit of Sonneratia apetala (Buch.-Ham.). Oriental Pharmacy and Experimental Medicine. 13(2). 95–102. 47 indexed citations
12.
Rokeya, Begum, et al.. (2011). Antidiabetic effect of Neopicrorrhiza scrophulariiflora on type 2 diabetic model rats. Journal of Institute of Medicine Nepal. 33(1). 53–57. 1 indexed citations
13.
Jahan, Ismet Ara, Nilufar Nahar, M Mosihuzzaman, et al.. (2009). Hypoglycaemic and antioxidant activities ofFicus racemosaLinn. fruits. Natural Product Research. 23(4). 399–408. 32 indexed citations
14.
Sokeng, Sélestin Dongmo, Begum Rokeya, J. M. A. Hannan, et al.. (2007). Inhibitory effect of Ipomoea aquatica extracts on glucose absorption using a perfused rat intestinal preparation. Fitoterapia. 78(7-8). 526–529. 8 indexed citations
15.
Hannan, J. M. A., Lamin Marenah, Liaquat Ali, et al.. (2007). Insulin secretory actions of extracts of Asparagus racemosus root in perfused pancreas, isolated islets and clonal pancreatic β-cells. Journal of Endocrinology. 192(1). 159–168. 56 indexed citations
16.
Rokeya, Begum, et al.. (2005). Antihyperglycemic effect of <i>Bridelia ndellensis</i> ethanol extract and fractions in Streptozotocin-induced diabetic Rats. African Journal of Traditional Complementary and Alternative Medicines. 2(2). 18 indexed citations
17.
Mosihuzzaman, M., et al.. (2003). Three Megastigmane Glycosides from the Leaves ofPterospermum semisagittatum. Pharmaceutical Biology. 41(7). 512–515. 34 indexed citations
18.
Chakrabarti, Shrabana, Begum Rokeya, Liaquat Ali, et al.. (2002). Advanced studies on the hypoglycemic effect of Caesalpinia bonducella F. in type 1 and 2 diabetes in Long Evans rats. Journal of Ethnopharmacology. 84(1). 41–46. 85 indexed citations
19.
Ali, Liaquat, et al.. (1993). Studies on Hypoglycemic Effects of Fruit Pulp, Seed, and Whole Plant ofMomordica charantiaon Normal and Diabetic Model Rats. Planta Medica. 59(5). 408–412. 153 indexed citations
20.
Khan, AKA, M Mosihuzzaman, Nilufar Nahar, et al.. (1970). The Antidiabetic and Antilipidemic Activity of Aqueous Extract of <i>Urtica dioica</i> L. on Type2 Diabetic Model Rats. Journal of Bio-Science. 17. 1–6. 9 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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