Shaheena Parween

52 total papers · 677 total citations
16 papers, 427 citations indexed

About

Shaheena Parween is a scholar working on Molecular Biology, Pharmacology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Shaheena Parween has authored 16 papers receiving a total of 427 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Pharmacology and 9 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Shaheena Parween's work include Pharmacogenetics and Drug Metabolism (9 papers), Hormonal Regulation and Hypertension (5 papers) and Sexual Differentiation and Disorders (3 papers). Shaheena Parween is often cited by papers focused on Pharmacogenetics and Drug Metabolism (9 papers), Hormonal Regulation and Hypertension (5 papers) and Sexual Differentiation and Disorders (3 papers). Shaheena Parween collaborates with scholars based in Switzerland, India and Japan. Shaheena Parween's co-authors include Amit V. Pandey, Sameer S. Udhane, Virander S. Chauhan, Christa E. Flück, Puneet Kumar Gupta, Anurag Misra, Suryanarayanarao Ramakumar, Ashraf Ali, Fiona C. Burkhard and Norio Kagawa and has published in prestigious journals such as Nature Communications, The Journal of Clinical Endocrinology & Metabolism and Biochemical and Biophysical Research Communications.

In The Last Decade

Shaheena Parween

16 papers receiving 426 citations

Author Peers

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

Author						Papers	Cites
Shaheena Parween	203	122	89	86	60	16	427
Mary Zoeckler	179 0.9×	173 1.4×	90 1.0×	66 0.8×	203 3.4×	14	484
Paul A. Hubbard	279 1.4×	91 0.7×	22 0.2×	23 0.3×	53 0.9×	14	474
Ann‐Charlotte Egnell	217 1.1×	182 1.5×	30 0.3×	33 0.4×	96 1.6×	11	473
Yadong Lu	154 0.8×	23 0.2×	43 0.5×	52 0.6×	20 0.3×	16	444
Whei‐Mei Wu	150 0.7×	39 0.3×	41 0.5×	23 0.3×	41 0.7×	20	400
Wei Duan	169 0.8×	91 0.7×	12 0.1×	18 0.2×	67 1.1×	17	417
Archie Thurston	165 0.8×	72 0.6×	38 0.4×	16 0.2×	123 2.0×	18	494
Juan Lao	133 0.7×	43 0.4×	19 0.2×	22 0.3×	76 1.3×	12	407
Birgitte W. Lund	170 0.8×	18 0.1×	79 0.9×	110 1.3×	23 0.4×	17	435
Mark W. Sawicki	206 1.0×	29 0.2×	79 0.9×	89 1.0×	23 0.4×	10	456

Countries citing papers authored by Shaheena Parween

Since Specialization

Citations

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

Fields of papers citing papers by Shaheena Parween

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaheena Parween

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