Amir Argoetti

737 citations
9 papers · 317 · h-index 5

Impact in

Papers in

    • RNA Research and Splicing 5
    • RNA modifications and cancer 4
    • RNA and protein synthesis mechanisms 3
    • RNA regulation and disease 2
    • Cytomegalovirus and herpesvirus research 1

Amir Argoetti

8 papers receiving 311 citations

Peers

Amir Argoetti
Comparison fields: 5 of 71
  • Infectious Diseases 218
  • Modeling and Simulation 37
  • Biomedical Engineering 112
  • Health Informatics 3
  • Radiology, Nuclear Medicine and Imaging 48
Replace Omer Shkedi with:
Omer Shkedi Israel
Minzhe Shen China
Erik Boehm Switzerland
Abdu Ahmed Abdullah AL‐maskri China
Steve Anderson United States
Meagan N. Esbin United States
Natali Papanicolaou Sweden
Changchun Lai China
Aner Ottolenghi Israel
Andreas Puyskens Germany
Amir Argoetti relative to Omer Shkedi Israel Omer Shkedi's profile →
Citations per field
00.5×3.1×
Omer Shkedi · 1×
Citations per year

Countries citing papers authored by Amir Argoetti

Since Specialization
Citations

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

Fields of papers citing papers by Amir Argoetti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Amir Argoetti, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Amir Argoetti Line = papers co-authored together Amir Argoetti links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2020248
2 202122
3 202118
4 202312
5 20189
6 20234
7 20223
8 20251
9 20250

About Amir Argoetti

Amir Argoetti is a scholar working on Molecular Biology, Epidemiology, Infectious Diseases, Oncology and Cell Biology, having authored 9 papers that have together received 317 indexed citations. Recurring topics across this work include RNA Research and Splicing (5 papers), RNA modifications and cancer (4 papers), RNA and protein synthesis mechanisms (3 papers), RNA regulation and disease (2 papers), interferon and immune responses (1 paper), Cytomegalovirus and herpesvirus research (1 paper), Endoplasmic Reticulum Stress and Disease (1 paper) and Viral-associated cancers and disorders (1 paper). The work is most often cited by research in Infectious Diseases (218 citations), Modeling and Simulation (37 citations), Biomedical Engineering (112 citations), Health Informatics (3 citations) and Radiology, Nuclear Medicine and Imaging (48 citations). Amir Argoetti has collaborated with scholars based in Israel, Germany and Japan. Frequent co-authors include Yael Mandel‐Gutfreund, Tamar Hashimshony, Moran Szwarcwort‐Cohen, Michael Halberthal, Yuval Geffen, Einat Shaer Tamar, Idan Yelin, Omer Shkedi, Roy Kishony and Noa Cohen. Their work appears in journals such as Nature Communications, Clinical Infectious Diseases, Current Opinion in Structural Biology, FEBS Letters and Cell Reports.

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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