Vafa Bayat

1.9k total citations
22 papers, 1.1k citations indexed

About

Vafa Bayat is a scholar working on Molecular Biology, Cell Biology and Infectious Diseases. According to data from OpenAlex, Vafa Bayat has authored 22 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 6 papers in Cell Biology and 3 papers in Infectious Diseases. Recurrent topics in Vafa Bayat's work include Cellular transport and secretion (4 papers), Developmental Biology and Gene Regulation (4 papers) and Mitochondrial Function and Pathology (3 papers). Vafa Bayat is often cited by papers focused on Cellular transport and secretion (4 papers), Developmental Biology and Gene Regulation (4 papers) and Mitochondrial Function and Pathology (3 papers). Vafa Bayat collaborates with scholars based in United States, China and Australia. Vafa Bayat's co-authors include Hugo J. Bellen, Manish Jaiswal, Héctor Sandoval, Ke Zhang, Shinya Yamamoto, Wu‐Lin Charng, Bo Xiong, Gabriela David, Hamed Jafar‐Nejad and Melih Acar and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and The Journal of Cell Biology.

In The Last Decade

Vafa Bayat

21 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vafa Bayat United States 16 833 358 281 98 88 22 1.1k
Manolis Fanto United Kingdom 16 956 1.1× 535 1.5× 259 0.9× 102 1.0× 185 2.1× 29 1.3k
C. Kimberly Tsui United States 12 632 0.8× 189 0.5× 337 1.2× 80 0.8× 62 0.7× 18 1.1k
Sergio Casas‐Tintó Spain 20 748 0.9× 517 1.4× 265 0.9× 68 0.7× 97 1.1× 51 1.3k
Rachel T. Cox United States 18 1.6k 2.0× 362 1.0× 185 0.7× 194 2.0× 63 0.7× 35 1.9k
Wu‐Lin Charng United States 14 590 0.7× 228 0.6× 140 0.5× 130 1.3× 73 0.8× 17 803
Nele A Haelterman United States 8 512 0.6× 146 0.4× 314 1.1× 110 1.1× 48 0.5× 12 793
Gabriela David United States 9 585 0.7× 236 0.7× 265 0.9× 53 0.5× 216 2.5× 9 829
Nicola A. Grzeschik Netherlands 16 991 1.2× 834 2.3× 195 0.7× 63 0.6× 51 0.6× 23 1.4k
Martin Harterink Netherlands 19 856 1.0× 823 2.3× 193 0.7× 86 0.9× 78 0.9× 20 1.3k
Jonathan Zirin United States 18 631 0.8× 128 0.4× 174 0.6× 125 1.3× 124 1.4× 29 926

Countries citing papers authored by Vafa Bayat

Since Specialization
Citations

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

Fields of papers citing papers by Vafa Bayat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vafa Bayat

This figure shows the co-authorship network connecting the top 25 collaborators of Vafa Bayat. A scholar is included among the top collaborators of Vafa Bayat 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 Vafa Bayat. Vafa Bayat 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.
2.
Duan, Xiuying, Lingna Xu, Lijun Jia, et al.. (2021). Regulation of lipid homeostasis by the TBC protein dTBC1D22 via modulation of the small GTPase Rab40 to facilitate lipophagy. Cell Reports. 36(9). 109541–109541. 15 indexed citations
3.
Mistree, Dinsha, et al.. (2021). Instructional interventions for improving COVID-19 knowledge, attitudes, behaviors: Evidence from a large-scale RCT in India. Social Science & Medicine. 276. 113846–113846. 7 indexed citations
4.
Bayat, Vafa, et al.. (2021). Reduced Mortality With Ondansetron Use in SARS-CoV-2-Infected Inpatients. Open Forum Infectious Diseases. 8(7). ofab336–ofab336. 10 indexed citations
5.
Bayat, Vafa, et al.. (2020). A COVID-19 Prediction Model from Standard Laboratory Tests and Vital Signs. SSRN Electronic Journal. 2 indexed citations
6.
Xue, Yang, Vafa Bayat, Nataliya Di Donato, et al.. (2019). Genetic and genomic studies of pathogenic EXOSC2 mutations in the newly described disease SHRF implicate the autophagy pathway in disease pathogenesis. Human Molecular Genetics. 29(4). 541–553. 17 indexed citations
7.
Wangler, Michael F., Vafa Bayat, Νικόλαος Γιαγτζόγλου, et al.. (2017). Peroxisomal biogenesis is genetically and biochemically linked to carbohydrate metabolism in Drosophila and mouse. PLoS Genetics. 13(6). e1006825–e1006825. 32 indexed citations
8.
Haelterman, Nele A, Lichun Jiang, Yumei Li, et al.. (2014). Large-scale identification of chemically induced mutations in Drosophila melanogaster. Genome Research. 24(10). 1707–1718. 49 indexed citations
9.
Wang, Shiuan, Kai Li Tan, Melina A. Agosto, et al.. (2014). The Retromer Complex Is Required for Rhodopsin Recycling and Its Loss Leads to Photoreceptor Degeneration. PLoS Biology. 12(4). e1001847–e1001847. 63 indexed citations
10.
Charng, Wu‐Lin, Shinya Yamamoto, Manish Jaiswal, et al.. (2014). Drosophila Tempura, a Novel Protein Prenyltransferase α Subunit, Regulates Notch Signaling Via Rab1 and Rab11. PLoS Biology. 12(1). e1001777–e1001777. 42 indexed citations
11.
Sandoval, Héctor, Chi‐Kuang Yao, Kuchuan Chen, et al.. (2014). Mitochondrial fusion but not fission regulates larval growth and synaptic development through steroid hormone production. eLife. 3. 105 indexed citations
12.
Yamamoto, Shinya, Vafa Bayat, Hugo J. Bellen, & Change Tan. (2013). Protein Phosphatase 1ß Limits Ring Canal Constriction during Drosophila Germline Cyst Formation. PLoS ONE. 8(7). e70502–e70502. 23 indexed citations
13.
Rodriguez‐Waitkus, Paul, et al.. (2013). Gastrointestinal Histoplasmosis in a Hepatitis C-Infected Individual. Mycopathologia. 176(1-2). 161–164. 6 indexed citations
14.
Yamamoto, Shinya, Wu‐Lin Charng, Nadia A. Rana, et al.. (2012). A Mutation in EGF Repeat-8 of Notch Discriminates Between Serrate/Jagged and Delta Family Ligands. Science. 338(6111). 1229–1232. 75 indexed citations
15.
Xiong, Bo, Vafa Bayat, Manish Jaiswal, et al.. (2012). Crag Is a GEF for Rab11 Required for Rhodopsin Trafficking and Maintenance of Adult Photoreceptor Cells. PLoS Biology. 10(12). e1001438–e1001438. 78 indexed citations
16.
Bayat, Vafa, Isabelle Thiffault, Manish Jaiswal, et al.. (2012). Mutations in the Mitochondrial Methionyl-tRNA Synthetase Cause a Neurodegenerative Phenotype in Flies and a Recessive Ataxia (ARSAL) in Humans. PLoS Biology. 10(3). e1001288–e1001288. 121 indexed citations
17.
Jaiswal, Manish, Héctor Sandoval, Ke Zhang, Vafa Bayat, & Hugo J. Bellen. (2012). Probing Mechanisms That Underlie Human Neurodegenerative Diseases in Drosophila. Annual Review of Genetics. 46(1). 371–396. 80 indexed citations
18.
Bayat, Vafa, Manish Jaiswal, & Hugo J. Bellen. (2010). The BMP signaling pathway at the Drosophila neuromuscular junction and its links to neurodegenerative diseases. Current Opinion in Neurobiology. 21(1). 182–188. 79 indexed citations
19.
Jafar‐Nejad, Hamed, Melih Acar, Vafa Bayat, et al.. (2005). Sec15, a Component of the Exocyst, Promotes Notch Signaling during the Asymmetric Division of Drosophila Sensory Organ Precursors. Developmental Cell. 9(3). 351–363. 161 indexed citations
20.
Zhai, R. Grace, P. Robin Hiesinger, Tong‐Wey Koh, et al.. (2003). Mapping Drosophila mutations with molecularly defined P element insertions. Proceedings of the National Academy of Sciences. 100(19). 10860–10865. 86 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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