Shahnaz Rahman

66 total papers · 1.0k total citations
42 papers, 773 citations indexed

About

Shahnaz Rahman is a scholar working on Plant Science, Endocrinology, Diabetes and Metabolism and Complementary and alternative medicine. According to data from OpenAlex, Shahnaz Rahman has authored 42 papers receiving a total of 773 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Plant Science, 15 papers in Endocrinology, Diabetes and Metabolism and 9 papers in Complementary and alternative medicine. Recurrent topics in Shahnaz Rahman's work include Natural Antidiabetic Agents Studies (15 papers), Ethnobotanical and Medicinal Plants Studies (12 papers) and Phytochemicals and Medicinal Plants (5 papers). Shahnaz Rahman is often cited by papers focused on Natural Antidiabetic Agents Studies (15 papers), Ethnobotanical and Medicinal Plants Studies (12 papers) and Phytochemicals and Medicinal Plants (5 papers). Shahnaz Rahman collaborates with scholars based in Bangladesh, United States and Malaysia. Shahnaz Rahman's co-authors include Mohammed Rahmatullah, Rownak Jahan, Suresh C. Tyagi, Thomas Vacek, Rasheda Perveen, Shiful Islam, Md Tangigul Haque, Sadaqur Rahman, Nurshad Ali and Shakil Mahmood and has published in prestigious journals such as PLoS ONE, Scientific Reports and BMC Complementary and Alternative Medicine.

In The Last Decade

Shahnaz Rahman

38 papers receiving 692 citations

Author Peers

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

Author						Papers	Cites
Shahnaz Rahman	225	191	175	152	106	42	773
Zoran Miloradović	119 0.5×	137 0.7×	167 1.0×	91 0.6×	113 1.1×	54	742
Nevena Mihailovic‐Stanojevic	93 0.4×	134 0.7×	155 0.9×	93 0.6×	101 1.0×	51	709
Ying Yang	132 0.6×	119 0.6×	303 1.7×	41 0.3×	117 1.1×	43	844
Qian Chen	81 0.4×	93 0.5×	340 1.9×	169 1.1×	35 0.3×	30	761
Adel M. A. Assiri	79 0.4×	51 0.3×	186 1.1×	87 0.6×	103 1.0×	27	795
Jelica Grujić-Milanović	107 0.5×	65 0.3×	147 0.8×	64 0.4×	94 0.9×	46	627
Lanzhou Li	258 1.1×	104 0.5×	365 2.1×	35 0.2×	81 0.8×	54	853
Walid Hamdy El-Tantawy	168 0.7×	30 0.2×	262 1.5×	103 0.7×	92 0.9×	31	766
Amin Abedini	97 0.4×	208 1.1×	340 1.9×	50 0.3×	54 0.5×	46	896
Huiqin Xu	108 0.5×	103 0.5×	387 2.2×	123 0.8×	25 0.2×	33	847

Countries citing papers authored by Shahnaz Rahman

Since Specialization

Citations

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

Fields of papers citing papers by Shahnaz Rahman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shahnaz Rahman

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