Hana Bangash

484 total citations
9 papers, 96 citations indexed

About

Hana Bangash is a scholar working on Surgery, Economics and Econometrics and Geriatrics and Gerontology. According to data from OpenAlex, Hana Bangash has authored 9 papers receiving a total of 96 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Surgery, 4 papers in Economics and Econometrics and 3 papers in Geriatrics and Gerontology. Recurrent topics in Hana Bangash's work include Lipoproteins and Cardiovascular Health (7 papers), Pharmaceutical Practices and Patient Outcomes (3 papers) and Health Systems, Economic Evaluations, Quality of Life (3 papers). Hana Bangash is often cited by papers focused on Lipoproteins and Cardiovascular Health (7 papers), Pharmaceutical Practices and Patient Outcomes (3 papers) and Health Systems, Economic Evaluations, Quality of Life (3 papers). Hana Bangash collaborates with scholars based in United States. Hana Bangash's co-authors include Iftikhar J. Kullo, Larry Prokop, Christopher Lee, Justin H. Gundelach, Alexandra Miller, Ozan Dikilitas, Kent R. Bailey, Christina M. Wood‐Wentz, Pedro J. Caraballo and Joseph Sutton and has published in prestigious journals such as Circulation, Genetics in Medicine and npj Digital Medicine.

In The Last Decade

Hana Bangash

9 papers receiving 94 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hana Bangash United States	5	63	38	20	20	16	9	96
Catherine D. Ahmed United States	9	86 1.4×	47 1.2×	35 1.8×	25 1.3×	11 0.7×	14	124
Thanh Huong Truong Vietnam	3	68 1.1×	22 0.6×	11 0.6×	28 1.4×	13 0.8×	3	76
L. Southwell Australia	3	47 0.7×	21 0.6×	10 0.5×	12 0.6×	4 0.3×	3	51
Gabriel A Gregory Australia	6	33 0.5×	16 0.4×	2 0.1×	47 2.4×	11 0.7×	9	93
Carlos Alberto Cuneo Argentina	2	61 1.0×	32 0.8×	7 0.3×	28 1.4×	29 1.8×	4	79
Małgorzata Setny Poland	7	28 0.4×	18 0.5×	10 0.5×	16 0.8×	52 3.3×	9	91
S. Kutkienė Lithuania	7	36 0.6×	8 0.2×	9 0.5×	31 1.6×	29 1.8×	14	72
Bharat Thakkar United States	5	16 0.3×	5 0.1×	4 0.2×	7 0.3×	7 0.4×	8	79
Д. В. Небиеридзе Russia	4	34 0.5×	13 0.3×	7 0.3×	8 0.4×	30 1.9×	40	76
Yong Du China	4	12 0.2×	5 0.1×	13 0.7×	53 2.6×	16 1.0×	5	92

Countries citing papers authored by Hana Bangash

Since Specialization

Citations

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

Fields of papers citing papers by Hana Bangash

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hana Bangash

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

All Works

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9 of 9 papers shown

Bangash, Hana, Seyedmohammad Saadatagah, Mohammadreza Naderian, et al.. (2024). Effect of clinical decision support for severe hypercholesterolemia on low-density lipoprotein cholesterol levels. npj Digital Medicine. 7(1). 73–73. 3 indexed citations

Bangash, Hana, Seyedmohammad Saadatagah, Joseph Sutton, et al.. (2023). Clinician Perspectives on Clinical Decision Support for Familial Hypercholesterolemia. Journal of Personalized Medicine. 13(6). 929–929. 1 indexed citations

Saadatagah, Seyedmohammad, et al.. (2023). Polygenic Risk, Rare Variants, and Family History. JACC Advances. 2(7). 100567–100567. 6 indexed citations

Saadatagah, Seyedmohammad, Alexandra Miller, Hana Bangash, et al.. (2022). Abstract 10360: Polygenic Risk Score, Rare Monogenic Variants, and Family History Have Independent and Additive Effects on the Risk of Coronary Heart Disease. Circulation. 146(Suppl_1). 1 indexed citations

Miller, Alexandra, Hana Bangash, Carin Y. Smith, et al.. (2022). A pragmatic clinical trial of cascade testing for familial hypercholesterolemia. Genetics in Medicine. 24(12). 2535–2543. 12 indexed citations

Bangash, Hana, et al.. (2021). Web-Based Tool (FH Family Share) to Increase Uptake of Cascade Testing for Familial Hypercholesterolemia: Development and Evaluation. JMIR Human Factors. 9(1). e32568–e32568. 12 indexed citations

Bangash, Hana, Laurie J. Pencille, Justin H. Gundelach, et al.. (2020). An Implementation Science Framework to Develop a Clinical Decision Support Tool for Familial Hypercholesterolemia. Journal of Personalized Medicine. 10(3). 67–67. 15 indexed citations

Bangash, Hana, Joseph Sutton, Justin H. Gundelach, et al.. (2020). Deploying Clinical Decision Support for Familial Hypercholesterolemia. PubMed. 4(2). e157–e161. 4 indexed citations

Lee, Christopher, et al.. (2019). New Case Detection by Cascade Testing in Familial Hypercholesterolemia. Circulation Genomic and Precision Medicine. 12(11). e002723–e002723. 42 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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