Ayesha Khatun

98 total papers · 684 total citations
46 papers, 267 citations indexed

About

Ayesha Khatun is a scholar working on Artificial Intelligence, Hematology and Physiology. According to data from OpenAlex, Ayesha Khatun has authored 46 papers receiving a total of 267 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 9 papers in Hematology and 7 papers in Physiology. Recurrent topics in Ayesha Khatun's work include Blood groups and transfusion (8 papers), Hepatitis B Virus Studies (4 papers) and Erythrocyte Function and Pathophysiology (4 papers). Ayesha Khatun is often cited by papers focused on Blood groups and transfusion (8 papers), Hepatitis B Virus Studies (4 papers) and Erythrocyte Function and Pathophysiology (4 papers). Ayesha Khatun collaborates with scholars based in Bangladesh, India and United Kingdom. Ayesha Khatun's co-authors include Md. Jahidul Islam, Shanto Roy, Henrik Zetterberg, Jonathan M. Schott, Melanie Hart, William Coath, Zhongbo Chen, Miles Chapman, Heidi Murray‐Smith and Ashvini Keshavan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Frontiers in Public Health and Alzheimer s Research & Therapy.

In The Last Decade

Ayesha Khatun

36 papers receiving 256 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Ayesha Khatun	59	52	50	46	35	46	267
Patrick H. Luckett	31 0.5×	30 0.6×	19 0.4×	47 1.0×	39 1.1×	29	280
Flávio Luiz Seixas	11 0.2×	33 0.6×	64 1.3×	38 0.8×	121 3.5×	36	327
Bin Xiao	15 0.3×	52 1.0×	24 0.5×	17 0.4×	26 0.7×	55	296
Chunpei Li	11 0.2×	19 0.4×	28 0.6×	33 0.7×	19 0.5×	33	189
Sylvie Ratté	17 0.3×	22 0.4×	37 0.7×	40 0.9×	147 4.2×	34	259
Qing Zhang	12 0.2×	17 0.3×	22 0.4×	13 0.3×	30 0.9×	39	317
David Manset	27 0.5×	59 1.1×	58 1.2×	44 1.0×	62 1.8×	22	324
Diane Dolezel	7 0.1×	38 0.7×	96 1.9×	27 0.6×	63 1.8×	28	303
Manish Bhattarai	11 0.2×	25 0.5×	15 0.3×	63 1.4×	98 2.8×	30	252
Haruhiko Takeuchi	66 1.1×	5 0.1×	14 0.3×	11 0.2×	30 0.9×	33	284

Countries citing papers authored by Ayesha Khatun

Since Specialization

Citations

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

Fields of papers citing papers by Ayesha Khatun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ayesha Khatun

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

All Works

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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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