Husna Begum

497 total citations
19 papers, 319 citations indexed

About

Husna Begum is a scholar working on Plant Science, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Husna Begum has authored 19 papers receiving a total of 319 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Plant Science, 5 papers in Molecular Biology and 3 papers in Pathology and Forensic Medicine. Recurrent topics in Husna Begum's work include Genetics and Plant Breeding (8 papers), Agricultural Practices and Plant Genetics (5 papers) and Agricultural pest management studies (5 papers). Husna Begum is often cited by papers focused on Genetics and Plant Breeding (8 papers), Agricultural Practices and Plant Genetics (5 papers) and Agricultural pest management studies (5 papers). Husna Begum collaborates with scholars based in Singapore, Bangladesh and India. Husna Begum's co-authors include Medagam Thirupathi Reddy, Markus R. Wenk, M. Ganesh, Federico Torta, Shanshan Ji, E Shyong Tai, Rob M. van Dam, Deron R. Herr, Hyungwon Choi and Wei‐Yi Ong and has published in prestigious journals such as Scientific Reports, Atherosclerosis and JCI Insight.

In The Last Decade

Husna Begum

18 papers receiving 307 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Husna Begum Singapore	9	146	141	47	25	21	19	319
Edith Elena Uresti‐Rivera Mexico	13	178 1.2×	204 1.4×	38 0.8×	50 2.0×	4 0.2×	27	485
Sapna Sharma Germany	12	204 1.4×	322 2.3×	42 0.9×	24 1.0×	4 0.2×	42	530
Selina Sterup Moore Italy	10	138 0.9×	61 0.4×	17 0.4×	7 0.3×	7 0.3×	23	298
Juan Lian China	10	196 1.3×	180 1.3×	70 1.5×	26 1.0×	9 0.4×	15	416
Min Yao China	11	207 1.4×	219 1.6×	15 0.3×	11 0.4×	3 0.1×	32	348
Yulong Zhao China	9	230 1.6×	261 1.9×	12 0.3×	22 0.9×	3 0.1×	18	454
Payam Mohammadi Iran	12	162 1.1×	249 1.8×	11 0.2×	14 0.6×	4 0.2×	31	469
Alison E. Mackie United Kingdom	14	71 0.5×	145 1.0×	220 4.7×	14 0.6×		34	571
Guowang Xu China	9	251 1.7×	81 0.6×	60 1.3×	30 1.2×		14	432

Countries citing papers authored by Husna Begum

Since Specialization

Citations

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

Fields of papers citing papers by Husna Begum

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Husna Begum

This figure shows the co-authorship network connecting the top 25 collaborators of Husna Begum. A scholar is included among the top collaborators of Husna Begum 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 Husna Begum. Husna Begum is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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19 of 19 papers shown

Chew, Wee Siong, Federico Torta, Shanshan Ji, et al.. (2019). Large-scale lipidomics identifies associations between plasma sphingolipids and T2DM incidence. JCI Insight. 4(13). 109 indexed citations

Chew, Wee Siong, Federico Torta, Shanshan Ji, et al.. (2019). Plasma Sphingolipids and Subclinical Atherosclerosis – Novel Associations Uncovered by a Large-scale Lipidomic Analysis (P18-129-19). Current Developments in Nutrition. 3. nzz039.P18–129. 1 indexed citations

Reddy, Medagam Thirupathi, et al.. (2018). Studies on Genetic Variability, Heritability and Genetic Advance in Genotypes of Okra [Abelmoschus esculentus (L.) Moench]. International Journal of Current Microbiology and Applied Sciences. 7(5). 401–411. 13 indexed citations

Begum, Husna, et al.. (2018). Genetic Diversity in Aus rice (Oryza sativa L.) Genotypes of Bangladesh. Bangladesh Journal of Agricultural Research. 43(2). 253–266. 7 indexed citations

Begum, Husna, Federico Torta, Pradeep Narayanaswamy, et al.. (2017). Lipidomic profiling of plasma in a healthy Singaporean population to identify ethnic specific differences in lipid levels and associations with disease risk factors. PubMed. 6. 25–31. 9 indexed citations

Reddy, Medagam Thirupathi, et al.. (2017). Genetic Divergence Analysis of Inbred Lines of Okra [Abelmoschus esculentus (L.) Moench]. International Journal of Current Microbiology and Applied Sciences. 6(11). 379–388. 5 indexed citations

Begum, Husna, Bowen Li, Guanghou Shui, et al.. (2016). Discovering and validating between-subject variations in plasma lipids in healthy subjects. Scientific Reports. 6(1). 19139–19139. 43 indexed citations

Kingwell, Bronwyn A., Sarah Heywood, Adèle Richart, et al.. (2016). HDL modulates cardiac glucose metabolism and inflammation and improves cardiac function after myocardial ischemia-reperfusion injury. Atherosclerosis. 252. e251–e251. 1 indexed citations

Reddy, Medagam Thirupathi, et al.. (2015). Mapping the Climate Suitability Using MaxEnt Modeling Approach for Ceylon Spinach (Basella alba L.) Cultivation in India. Journal of Agricultural Sciences – Sri Lanka. 10(2). 87–97. 15 indexed citations

10.

Begum, Husna, et al.. (2013). Microsatellite analysis of intracultivar diversity in ‘Chinnarasam’ mango from Andhra Pradesh, India.. TSpace. 21(2). 109–118. 4 indexed citations

11.

Reddy, Medagam Thirupathi, et al.. (2012). Genetic variability analysis for the selection of elite genotypes based on pod yield and quality from the germplasm of okra (Abelmoschus esculentus L. Moench). International Journal of Agricultural Technology. 8(2). 639–655. 40 indexed citations

12.

Reddy, Medagam Thirupathi, et al.. (2012). Genetic divergence analysis of indigenous and exotic collections of okra (Abelmoschus esculentus (L.) Moench).. International Journal of Agricultural Technology. 8(2). 611–623. 21 indexed citations

13.

Reddy, Medagam Thirupathi, et al.. (2011). Combining Ability Analysis for Growth, Earliness and Yield Attributes in Okra (Abelmoschus esculentus (L.) Moench). Thai Journal of Agricultural Science. 44(3). 207–218. 6 indexed citations

14.

Hossain, Kamal, et al.. (2011). Line x Tester analysis for yield and its related traits in rice (<i>Oryza sativa</i> I.). 22(2). 3 indexed citations

15.

Begum, Husna, et al.. (2007). Effects of Purified Salvia miltiorrhiza Extract on Cardiac Vascular Smooth Muscle Hypoxic Cells. Journal of Pharmacological Sciences. 104(3). 202–211. 7 indexed citations

16.

Begum, Husna, et al.. (2007). GENETIC DIVERGENCE IN LINSEED (Linum usitatissimum L.). 2(1). 4–6. 16 indexed citations

17.

Begum, Husna, et al.. (1970). Genetic Diversity Of Some Restorer Lines For Hybrid Rice Development. Bangladesh Journal of Agricultural Research. 36(1). 21–28. 5 indexed citations

18.

Begum, Husna, et al.. (1970). Combining Ability Analysis In Rice (<i>Oryza Sativa</i> L.). 23(2). 7–14. 10 indexed citations

19.

Zaman, M. A., et al.. (1970). Heterosis estimates in F2 diallel population of spring wheat at two different cultural conditions. Bangladesh Journal of Agricultural Research. 35(3). 413–422. 4 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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