Rumana Akhter

43 total papers · 681 total citations
30 papers, 524 citations indexed

About

Rumana Akhter is a scholar working on Molecular Biology, Plant Science and Pharmacology. According to data from OpenAlex, Rumana Akhter has authored 30 papers receiving a total of 524 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Plant Science and 5 papers in Pharmacology. Recurrent topics in Rumana Akhter's work include Natural Antidiabetic Agents Studies (4 papers), Nuclear Receptors and Signaling (3 papers) and Psidium guajava Extracts and Applications (3 papers). Rumana Akhter is often cited by papers focused on Natural Antidiabetic Agents Studies (4 papers), Nuclear Receptors and Signaling (3 papers) and Psidium guajava Extracts and Applications (3 papers). Rumana Akhter collaborates with scholars based in Bangladesh, United States and India. Rumana Akhter's co-authors include Subhas C. Biswas, Priyankar Sanphui, Lynn M. Bekris, Shane Formica, Maria Khrestian, Yvonne Shao, Mohammad Shahriar, McKenzie Shaw, James B. Leverenz and Suraiya Saleem and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Neurochemistry and Neurobiology of Aging.

In The Last Decade

Rumana Akhter

24 papers receiving 511 citations

Author Peers

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

Author						Papers	Cites
Rumana Akhter	333	203	79	62	44	30	524
Deng‐Pan Wu	402 1.2×	170 0.8×	73 0.9×	53 0.9×	16 0.4×	30	569
Shu Zhu	287 0.9×	136 0.7×	82 1.0×	82 1.3×	27 0.6×	21	599
Lu Li	429 1.3×	148 0.7×	43 0.5×	31 0.5×	44 1.0×	47	596
Mo‐Li Zhu	204 0.6×	111 0.5×	84 1.1×	52 0.8×	56 1.3×	34	550
Lingling Yu	327 1.0×	124 0.6×	35 0.4×	35 0.6×	62 1.4×	29	571
Tingbo Li	223 0.7×	141 0.7×	64 0.8×	60 1.0×	58 1.3×	15	448
Shuai Yuan	366 1.1×	166 0.8×	39 0.5×	32 0.5×	45 1.0×	29	590
Yue Dong	314 0.9×	133 0.7×	163 2.1×	61 1.0×	39 0.9×	23	589
Lan Chen	220 0.7×	78 0.4×	82 1.0×	66 1.1×	29 0.7×	28	476
Kai Hu	267 0.8×	132 0.7×	60 0.8×	60 1.0×	23 0.5×	30	556

Countries citing papers authored by Rumana Akhter

Since Specialization

Citations

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

Fields of papers citing papers by Rumana Akhter

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rumana Akhter

This figure shows the co-authorship network connecting the top 25 collaborators of Rumana Akhter. A scholar is included among the top collaborators of Rumana Akhter 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 Rumana Akhter. Rumana Akhter 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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