Negar Sarhangi

527 total citations
29 papers, 289 citations indexed

About

Negar Sarhangi is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Cancer Research. According to data from OpenAlex, Negar Sarhangi has authored 29 papers receiving a total of 289 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 6 papers in Endocrinology, Diabetes and Metabolism and 6 papers in Cancer Research. Recurrent topics in Negar Sarhangi's work include Diabetes Treatment and Management (5 papers), Uterine Myomas and Treatments (4 papers) and Cancer Genomics and Diagnostics (4 papers). Negar Sarhangi is often cited by papers focused on Diabetes Treatment and Management (5 papers), Uterine Myomas and Treatments (4 papers) and Cancer Genomics and Diagnostics (4 papers). Negar Sarhangi collaborates with scholars based in Iran, United States and Greece. Negar Sarhangi's co-authors include Mandana Hasanzad, Hamid Reza Aghaei Meybodi, Fatemeh Rouhollah, Bagher Larijani, Farshad Sharifi, Shekoufeh Nikfar, Mahdi Afshari, Fatemeh Khatami, George P. Patrinos and Nazli Khodayari and has published in prestigious journals such as Scientific Reports, Journal of Cellular Biochemistry and European Journal of Obstetrics & Gynecology and Reproductive Biology.

In The Last Decade

Negar Sarhangi

27 papers receiving 284 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Negar Sarhangi Iran 9 132 54 44 38 37 29 289
Loretta M. Byrne United States 8 65 0.5× 48 0.9× 146 3.3× 41 1.1× 40 1.1× 12 395
Paymon Azizi Canada 8 94 0.7× 14 0.3× 47 1.1× 88 2.3× 67 1.8× 18 401
Huanji Zhang China 8 158 1.2× 26 0.5× 34 0.8× 40 1.1× 42 1.1× 17 337
Laila Aryan United States 8 113 0.9× 61 1.1× 52 1.2× 34 0.9× 21 0.6× 11 352
Xuesi Dong China 10 87 0.7× 19 0.4× 18 0.4× 26 0.7× 16 0.4× 30 278
Abbe R. Clark United States 11 161 1.2× 26 0.5× 12 0.3× 22 0.6× 42 1.1× 14 393
Xiantong Zou China 10 125 0.9× 34 0.6× 161 3.7× 61 1.6× 81 2.2× 27 479
Mehrane Mehramiz Iran 12 106 0.8× 34 0.6× 33 0.8× 51 1.3× 32 0.9× 26 289
Ying Hao China 13 77 0.6× 39 0.7× 49 1.1× 87 2.3× 29 0.8× 28 290
Hongming Pan China 11 120 0.9× 21 0.4× 33 0.8× 43 1.1× 24 0.6× 25 311

Countries citing papers authored by Negar Sarhangi

Since Specialization
Citations

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

Fields of papers citing papers by Negar Sarhangi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Negar Sarhangi

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

All Works

20 of 20 papers shown
1.
Patrinos, George P., et al.. (2023). Using ChatGPT to predict the future of personalized medicine. The Pharmacogenomics Journal. 23(6). 178–184. 21 indexed citations
2.
Sarhangi, Negar, et al.. (2022). Effects of the TCF7L2 and KCNQ1 common variant on sulfonylurea response in type 2 diabetes mellitus patients: a preliminary pharmacogenetic study. Journal of Diabetes & Metabolic Disorders. 21(1). 133–139. 1 indexed citations
3.
Sarhangi, Negar, et al.. (2022). Breast cancer in the era of precision medicine. Molecular Biology Reports. 49(10). 10023–10037. 65 indexed citations
4.
Sarhangi, Negar, et al.. (2021). Investigation of TGF-β1 gene variant and expression in a group of Iranian women with endometriosis. Archives of Gynecology and Obstetrics. 304(6). 1527–1534. 1 indexed citations
5.
Sarhangi, Negar, Shekoufeh Nikfar, Mandana Hasanzad, & Bagher Larijani. (2021). Precision medicine path at personalized medicine research center/endocrinology and metabolism research institute: A systematic review. Journal of Diabetes & Metabolic Disorders. 23(2). 1507–1513. 1 indexed citations
6.
Hasanzad, Mandana, et al.. (2021). Pilot study in pharmacogenomic management of empagliflozin in type 2 diabetes mellitus patients. Journal of Diabetes & Metabolic Disorders. 20(2). 1407–1413. 1 indexed citations
7.
Hasanzad, Mandana, et al.. (2021). Precision medicine journey through omics approach. Journal of Diabetes & Metabolic Disorders. 21(1). 881–888. 18 indexed citations
8.
Hasanzad, Mandana, et al.. (2021). A systematic review of miRNAs as biomarkers in osteoporosis disease. Journal of Diabetes & Metabolic Disorders. 20(2). 1391–1406. 10 indexed citations
9.
Sarhangi, Negar, et al.. (2021). The role of the PPARG (Pro12Ala) common genetic variant on type 2 diabetes mellitus risk. Journal of Diabetes & Metabolic Disorders. 20(2). 1385–1390. 9 indexed citations
10.
Sarhangi, Negar, et al.. (2020). MTNR1B common genetic variant is associated with type 2 diabetes mellitus risk. Gene Reports. 20. 100695–100695. 2 indexed citations
11.
Ejtahed, Hanieh‐Sadat, et al.. (2020). Gut microbiota: a perspective of precision medicine in endocrine disorders. Journal of Diabetes & Metabolic Disorders. 19(2). 1827–1834. 7 indexed citations
12.
Aminimoghaddam, Soheila, et al.. (2020). Investigating the association of matrix metalloproteinase-2 gene variants with endometriosis in an Iranian population. European Journal of Obstetrics & Gynecology and Reproductive Biology. 258. 353–357. 3 indexed citations
13.
Sarhangi, Negar, et al.. (2020). PPARG (Pro12Ala) genetic variant and risk of T2DM: a systematic review and meta-analysis. Scientific Reports. 10(1). 12764–12764. 61 indexed citations
14.
Hasanzad, Mandana, Negar Sarhangi, Shekoufeh Nikfar, Seyed Nasser Ostad, & Hamid Reza Aghaei Meybodi. (2020). A narrative review of current trends in liraglutide: insights into the unmet needs in management of type 2 diabetes and obesity. Journal of Diabetes & Metabolic Disorders. 19(2). 1863–1872. 8 indexed citations
15.
Sarhangi, Negar, et al.. (2019). Association of vascular endothelial growth factor (VEGF) Gene polymorphisms and expression with the risk of endometriosis: a case–control study. Molecular Biology Reports. 46(3). 3445–3450. 13 indexed citations
16.
Sarhangi, Negar, et al.. (2019). Association Analysis of the HNF4A Common Genetic Variants with Type 2 Diabetes Mellitus Risk.. PubMed. 8(Suppl1). 56–62. 9 indexed citations
17.
Sarhangi, Negar, et al.. (2019). The influence of a genetic variant in the KCNQ1 gene on type 2 diabetes mellitus development. Gene Reports. 17. 100529–100529. 2 indexed citations
18.
Sarhangi, Negar, et al.. (2019). KCNQ1 common genetic variant and type 2 diabetes mellitus risk. Journal of Diabetes & Metabolic Disorders. 19(1). 47–51. 7 indexed citations
19.
Hasanzad, Mandana, Negar Sarhangi, Hamid Reza Aghaei Meybodi, et al.. (2019). Precision Medicine in Non Communicable Diseases.. PubMed. 8(Suppl1). 1–18. 6 indexed citations
20.
Sarhangi, Negar, et al.. (2019). Kallikarein‐related peptidase 3 common genetic variant and the risk of prostate cancer. Journal of Cellular Biochemistry. 120(9). 14822–14830. 5 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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