Poorya Amini

1.3k total citations
9 papers, 671 citations indexed

About

Poorya Amini is a scholar working on Immunology, Genetics and Hematology. According to data from OpenAlex, Poorya Amini has authored 9 papers receiving a total of 671 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Immunology, 2 papers in Genetics and 2 papers in Hematology. Recurrent topics in Poorya Amini's work include Neutrophil, Myeloperoxidase and Oxidative Mechanisms (4 papers), Nitric Oxide and Endothelin Effects (2 papers) and Health Systems, Economic Evaluations, Quality of Life (2 papers). Poorya Amini is often cited by papers focused on Neutrophil, Myeloperoxidase and Oxidative Mechanisms (4 papers), Nitric Oxide and Endothelin Effects (2 papers) and Health Systems, Economic Evaluations, Quality of Life (2 papers). Poorya Amini collaborates with scholars based in Switzerland, Italy and France. Poorya Amini's co-authors include Hans‐Uwe Simon, Shída Yousefi, Darko Stojkov, Thomas Kaufmann, Kevin Oberson, Christiane Sokollik, Andrea Duppenthaler, Laurent Gelman, Jean‐Marc Nuoffer and Luca Scorrano and has published in prestigious journals such as Nature Communications, The Journal of Cell Biology and Blood.

In The Last Decade

Poorya Amini

9 papers receiving 661 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Poorya Amini Switzerland 7 330 181 165 62 60 9 671
Nasreen A. Vohra United States 18 210 0.6× 182 1.0× 136 0.8× 13 0.2× 92 1.5× 53 1.1k
Hirayasu Kai Japan 14 452 1.4× 27 0.1× 100 0.6× 35 0.6× 32 0.5× 41 810
G Tessari Italy 8 603 1.8× 90 0.5× 223 1.4× 44 0.7× 72 1.2× 8 994
Brent R. Gabel Canada 14 223 0.7× 672 3.7× 222 1.3× 14 0.2× 35 0.6× 19 1.1k
Giuseppe De Palma Italy 17 208 0.6× 83 0.5× 339 2.1× 13 0.2× 73 1.2× 36 886
Marie‐Anne Valentin Switzerland 7 239 0.7× 51 0.3× 115 0.7× 9 0.1× 130 2.2× 13 662
José Luis Marenco Spain 14 131 0.4× 102 0.6× 67 0.4× 10 0.2× 31 0.5× 43 657
A.B. Gottlieb United States 9 1.1k 3.4× 41 0.2× 110 0.7× 79 1.3× 175 2.9× 35 1.4k
Tiffani K. Hamilton United States 14 829 2.5× 38 0.2× 120 0.7× 90 1.5× 129 2.1× 25 1.2k

Countries citing papers authored by Poorya Amini

Since Specialization
Citations

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

Fields of papers citing papers by Poorya Amini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Poorya Amini

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

All Works

9 of 9 papers shown
1.
Borissov, Nikolay, Quentin Haas, Beatrice Minder, et al.. (2022). Reducing systematic review burden using Deduklick: a novel, automated, reliable, and explainable deduplication algorithm to foster medical research. Systematic Reviews. 11(1). 172–172. 64 indexed citations
2.
Borissov, Nikolay, et al.. (2022). Deep Learning-Based Risk Prediction for Interventional Clinical Trials Based on Protocol Design: A Retrospective Study. SSRN Electronic Journal. 1 indexed citations
3.
Koskinas, Konstantinos C., Stephan Windecker, Giovanni Pedrazzini, et al.. (2019). Evolocumab for Early Reduction of LDL Cholesterol Levels in Patients With Acute Coronary Syndromes (EVOPACS). Journal of the American College of Cardiology. 74(20). 2452–2462. 165 indexed citations
4.
Amini, Poorya, Darko Stojkov, Andrea Felser, et al.. (2018). Neutrophil extracellular trap formation requires OPA1-dependent glycolytic ATP production. Nature Communications. 9(1). 2958–2958. 138 indexed citations
5.
Bologna, Luca, Mirko Manetti, Daniela Melchiorre, et al.. (2018). Targeting anticoagulant protein S to improve hemostasis in hemophilia. Blood. 131(12). 1360–1371. 52 indexed citations
6.
Stojkov, Darko, Poorya Amini, Kevin Oberson, et al.. (2017). ROS and glutathionylation balance cytoskeletal dynamics in neutrophil extracellular trap formation. The Journal of Cell Biology. 216(12). 4073–4090. 104 indexed citations
7.
Bologna, Luca, Mirko Manetti, Daniela Melchiorre, et al.. (2016). Blocking Protein S Improves Hemostasis in Hemophilia a and B. Blood. 128(22). 79–79. 1 indexed citations
8.
Amini, Poorya, Darko Stojkov, Xiaoliang Wang, et al.. (2015). NET formation can occur independently of RIPK3 and MLKL signaling. European Journal of Immunology. 46(1). 178–184. 77 indexed citations
9.
Yousefi, Shída, Poorya Amini, Darko Stojkov, et al.. (2015). Basophils exhibit antibacterial activity through extracellular trap formation. Allergy. 70(9). 1184–1188. 69 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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