Farshad Farshidfar

10.7k total citations
30 papers, 713 citations indexed

About

Farshad Farshidfar is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Farshad Farshidfar has authored 30 papers receiving a total of 713 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 9 papers in Oncology and 6 papers in Cancer Research. Recurrent topics in Farshad Farshidfar's work include Metabolomics and Mass Spectrometry Studies (10 papers), Cancer, Hypoxia, and Metabolism (5 papers) and Cancer, Lipids, and Metabolism (5 papers). Farshad Farshidfar is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (10 papers), Cancer, Hypoxia, and Metabolism (5 papers) and Cancer, Lipids, and Metabolism (5 papers). Farshad Farshidfar collaborates with scholars based in Canada, United States and Iran. Farshad Farshidfar's co-authors include Oliver F. Bathe, Hans J. Vogel, Aalim M. Weljie, Karen Kopciuk, Anthony R. MacLean, S. Elizabeth McGregor, Robert J. Hilsden, W. Donald Buie, Francis Sutherland and Elijah Dixon and has published in prestigious journals such as Circulation, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Farshad Farshidfar

25 papers receiving 704 citations

Peers

Farshad Farshidfar

ONCOL

PHYSI

PRM

Erik Peter Germany

Atsuki Ikeda Japan

Di Yu China

Zhuozhong Wang China

Zhiqiang Cheng China

Shanshan Zeng China

Lulu Zhang China

Leslie Lupien United States

Jae Hyuck Choi South Korea

Sven Zukunft Germany

Erik Peter Germany

Farshad Farshidfar

477 ×1.0

172 ×1.0

141 ×1.0

ONCOL

103 ×1.3

PHYSI

78 ×1.1

PRM

Citations per year, relative to Farshad Farshidfar Farshad Farshidfar (= 1×) peers Erik Peter

Countries citing papers authored by Farshad Farshidfar

Since Specialization

Citations

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

Fields of papers citing papers by Farshad Farshidfar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Farshad Farshidfar

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

All Works

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20 of 20 papers shown

Farshidfar, Farshad, et al.. (2025). Combining genetic proxies of drug targets and time-to-event analyses from longitudinal observational data to identify target patient populations. BMC Cardiovascular Disorders. 25(1). 353–353.

Ranjbarvaziri, Sara, Amara Greer-Short, Farshad Farshidfar, et al.. (2024). Targeting HDAC6 to treat heart failure with preserved ejection fraction in mice. Nature Communications. 15(1). 1352–1352. 24 indexed citations

Farshidfar, Farshad, Sara Ranjbarvaziri, Amara Greer-Short, et al.. (2024). Co-Administration of Inhibitors of HDAC6 and SGLT2 in Murine HFpEF Models Results in Additive Improvements in Cardiac Structural and Functional Measures. Journal of Cardiac Failure. 30(1). 164–164. 1 indexed citations

Wu, I‐Chien, et al.. (2024). PKP2 gene therapy reduces ventricular arrhythmias, reverses ventricular remodeling, improves heart function, and reduces mortality in a mouse model of arrhythmogenic right ventricular cardiomyopathy. EP Europace. 26(Supplement_1).

Farshidfar, Farshad, et al.. (2024). A comprehensive method to analyze single-cell vibrations. Biophysical Journal. 124(1). 77–92.

Craig, Steven J., Cynthia Stretch, Farshad Farshidfar, et al.. (2023). A clinically useful and biologically informative genomic classifier for papillary thyroid cancer. Frontiers in Endocrinology. 14. 1220617–1220617. 6 indexed citations

Ho, Jaclyn J., Sara Ranjbarvaziri, Farshad Farshidfar, et al.. (2021). Deep learning detects cardiotoxicity in a high-content screen with induced pluripotent stem cell-derived cardiomyocytes. eLife. 10. 41 indexed citations

Keramati, Mohammad Reza, Farshad Farshidfar, Mairéad G. McNamara, et al.. (2019). A strategy for early detection of response to chemotherapy drugs based on treatment-related changes in the metabolome. PLoS ONE. 14(4). e0213942–e0213942. 9 indexed citations

Farshidfar, Farshad, et al.. (2019). Gas Chromatography-Mass Spectrometry and Analysis of the Serum Metabolomic Profile Through Extraction and Derivatization of Polar Metabolites. Methods in molecular biology. 1928. 235–249. 2 indexed citations

10.

Steen, Chloé B., Bogdan Luca, Mohammad Shahrokh Esfahani, et al.. (2019). An Atlas of Clinically-Distinct Tumor Cellular Ecosystems in Diffuse Large B Cell Lymphoma. Blood. 134(Supplement_1). 655–655. 3 indexed citations

11.

Farshidfar, Farshad, Karen Kopciuk, Robert J. Hilsden, et al.. (2018). A quantitative multimodal metabolomic assay for colorectal cancer. BMC Cancer. 18(1). 26–26. 32 indexed citations

12.

Farshidfar, Farshad, Oliver F. Bathe, Karen Kopciuk, et al.. (2017). Novel Allosteric Pathway of Eg5 Regulation Identified through Multivariate Statistical Analysis of Hydrogen-Exchange Mass Spectrometry (HX-MS) Ligand Screening Data. Molecular & Cellular Proteomics. 16(3). 428–437. 12 indexed citations

13.

Dowlatabadi, Reza, et al.. (2017). Detection of adulteration in Iranian saffron samples by 1H NMR spectroscopy and multivariate data analysis techniques. Metabolomics. 13(2). 40 indexed citations

14.

Farshidfar, Farshad, Aalim M. Weljie, Karen Kopciuk, et al.. (2016). A validated metabolomic signature for colorectal cancer: exploration of the clinical value of metabolomics. British Journal of Cancer. 115(7). 848–857. 111 indexed citations

15.

Hao, Desirée, et al.. (2016). Temporal characterization of serum metabolite signatures in lung cancer patients undergoing treatment. Metabolomics. 12(3). 58–58. 60 indexed citations

16.

Farshidfar, Farshad, et al.. (2016). IONIC LIQUID ASSISTED ACETYLENE PARTIAL HYDROGENATION OVER SURFACE OF PALLADIUM NANOPARTICLES. Surface Review and Letters. 23(6). 1650054–1650054. 1 indexed citations

17.

Farshidfar, Farshad, Aalim M. Weljie, Karen Kopciuk, et al.. (2012). Serum metabolomic profile as a means to distinguish stage of colorectal cancer. Genome Medicine. 4(5). 42–42. 86 indexed citations

18.

Akhlaghi, Hamed, et al.. (2009). Sciatic Nerve Compression Resulting From Posttraumatic Pseudoaneurysm of the Superior Gluteal Artery: A Case Report and Literature Review. The Journal of Trauma: Injury, Infection, and Critical Care. 66(6). 1731–1734. 8 indexed citations

19.

Nasiri, Shirzad, et al.. (2009). Four port‐site recurrences of gall bladder cancer after laparoscopic cholecystectomy. ANZ Journal of Surgery. 79(1-2). 75–76. 5 indexed citations

20.

Esmaili, Nafiseh, et al.. (2008). Treatment of pemphigus vulgaris with mycophenolate mofetil as a steroid-sparing agent.. PubMed. 18(2). 159–64. 25 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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