Amirhossein Mafi

708 total citations
28 papers, 505 citations indexed

About

Amirhossein Mafi is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Mechanical Engineering. According to data from OpenAlex, Amirhossein Mafi has authored 28 papers receiving a total of 505 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 8 papers in Cellular and Molecular Neuroscience and 6 papers in Mechanical Engineering. Recurrent topics in Amirhossein Mafi's work include Receptor Mechanisms and Signaling (10 papers), Neuropeptides and Animal Physiology (7 papers) and Membrane Separation and Gas Transport (6 papers). Amirhossein Mafi is often cited by papers focused on Receptor Mechanisms and Signaling (10 papers), Neuropeptides and Animal Physiology (7 papers) and Membrane Separation and Gas Transport (6 papers). Amirhossein Mafi collaborates with scholars based in United States, Canada and Iran. Amirhossein Mafi's co-authors include William A. Goddard, Keng C. Chou, Dan Hu, Ahmadreza Raisi, Abdolreza Aroujalian, Alison E. Ondrus, Brian Güthrie, Tianyi Zhang, Xiang Ma and Jeffrey J. Jones and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nature Communications.

In The Last Decade

Amirhossein Mafi

28 papers receiving 505 citations

Peers

Amirhossein Mafi

CMN

G. J. Visser Netherlands

Horacio Poblete Chile

Julian Smith United Kingdom

Saurabh Mishra India

Yanqin Wang China

Angus J. Morrison United Kingdom

Yanxian Lin United States

K. Shiga Japan

Patrizia Guida Italy

Anirban Das India

G. J. Visser Netherlands

Amirhossein Mafi

316 ×1.2

124 ×1.0

CMN

37 ×0.5

28 ×0.5

53 ×1.1

Citations per year, relative to Amirhossein Mafi Amirhossein Mafi (= 1×) peers G. J. Visser

Countries citing papers authored by Amirhossein Mafi

Since Specialization

Citations

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

Fields of papers citing papers by Amirhossein Mafi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amirhossein Mafi

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

Yan, Yahui, Heather P. Harding, Alisa Zyryanova, et al.. (2024). Substrate recruitment via eIF2γ enhances catalytic efficiency of a holophosphatase that terminates the integrated stress response. Proceedings of the National Academy of Sciences. 121(14). e2320013121–e2320013121. 1 indexed citations

Wang, John, Hannah T. Baddock, Amirhossein Mafi, et al.. (2024). Structure of the p53 degradation complex from HPV16. Nature Communications. 15(1). 1842–1842. 20 indexed citations

Zhang, Peiyuan, Jason Tao, John Wang, et al.. (2023). Discovery of reactive peptide inhibitors of human papillomavirus oncoprotein E6. Chemical Science. 14(44). 12484–12497. 11 indexed citations

Mafi, Amirhossein, et al.. (2023). The dynamics of agonist-β2-adrenergic receptor activation induced by binding of GDP-bound Gs protein. Nature Chemistry. 15(8). 1127–1137. 18 indexed citations

Nag, Arundhati, Amirhossein Mafi, Samir Das, et al.. (2023). Stereochemical engineering yields a multifunctional peptide macrocycle inhibitor of Akt2 by fine-tuning macrocycle-cell membrane interactions. Communications Chemistry. 6(1). 95–95. 2 indexed citations

Mafi, Amirhossein, Russell A. Judge, Jun Xu, et al.. (2023). Cryo-EM structure of human PAPP-A2 and mechanism of substrate recognition. Communications Chemistry. 6(1). 234–234. 2 indexed citations

Judge, Russell A., Kathryn Tunyasuvunakool, Rinku Jain, et al.. (2022). Structure of the PAPP-ABP5 complex reveals mechanism of substrate recognition. Nature Communications. 13(1). 5500–5500. 11 indexed citations

Sharma, Vinay, Soo‐Kyung Kim, Amirhossein Mafi, et al.. (2021). Novel interaction between neurotrophic factor-α1/carboxypeptidase E and serotonin receptor, 5-HTR1E, protects human neurons against oxidative/neuroexcitotoxic stress via β-arrestin/ERK signaling. Cellular and Molecular Life Sciences. 79(1). 24–24. 24 indexed citations

Zhang, Tianyi, Xiang Ma, Amirhossein Mafi, et al.. (2021). A proteome-wide map of 20(S)-hydroxycholesterol interactors in cell membranes. Nature Chemical Biology. 17(12). 1271–1280. 40 indexed citations

10.

Mafi, Amirhossein, et al.. (2021). The G protein-first activation mechanism of opioid receptors by Gi protein and agonists. SHILAP Revista de lepidopterología. 2. e9–e9. 12 indexed citations

11.

Mafi, Amirhossein, Rahul Purohit, Brandon Lam, et al.. (2021). Hedgehog proteins create a dynamic cholesterol interface. PLoS ONE. 16(2). e0246814–e0246814. 8 indexed citations

12.

Yang, Moon Young, et al.. (2021). Predicted structure of fully activated human bitter taste receptor TAS2R4 complexed with G protein and agonists. SHILAP Revista de lepidopterología. 2. e3–e3. 11 indexed citations

13.

Mafi, Amirhossein, Daniel J. Brooks, Lien‐Chun Weng, et al.. (2020). Permeation of CO₂ and N₂ through glassy poly(dimethyl phenylene) oxide under steady‐ and presteady‐state conditions. Journal of Polymer Science. 58(9). 1207–1228. 9 indexed citations

14.

Mafi, Amirhossein, Srinivas Abbina, Manu Thomas Kalathottukaren, et al.. (2018). Design of Polyphosphate Inhibitors: A Molecular Dynamics Investigation on Polyethylene Glycol-Linked Cationic Binding Groups. Biomacromolecules. 19(4). 1358–1367. 13 indexed citations

15.

Mafi, Amirhossein, et al.. (2017). Mathematical modelling of sorption and permeation through composite membrane in pervaporation process. Desalination and Water Treatment. 72. 61–72. 1 indexed citations

16.

Mafi, Amirhossein, Dan Hu, & Keng C. Chou. (2017). Complex Formations between Surfactants and Polyelectrolytes of the Same Charge on a Water Surface. Langmuir. 33(32). 7940–7946. 23 indexed citations

17.

Mafi, Amirhossein, Dan Hu, & Keng C. Chou. (2016). Interactions of Sulfobetaine Zwitterionic Surfactants with Water on Water Surface. Langmuir. 32(42). 10905–10911. 37 indexed citations

18.

Mafi, Amirhossein, Ahmadreza Raisi, & Abdolreza Aroujalian. (2013). Computational fluid dynamics modeling of mass transfer for aroma compounds recovery from aqueous solutions by hydrophobic pervaporation. Journal of Food Engineering. 119(1). 46–55. 22 indexed citations

19.

Mafi, Amirhossein, et al.. (2013). A mass transfer model for pure alcoholic permeation through the PDMS membrane. Desalination and Water Treatment. 52(40-42). 7628–7636. 1 indexed citations

20.

Mafi, Amirhossein, et al.. (2012). A mathematical model for mass transfer in hydrophobic pervaporation for organic compounds separation from aqueous solutions. Journal of Membrane Science. 423-424. 175–188. 27 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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