Ayelet Gonen

3.1k total citations
33 papers, 1.9k citations indexed

About

Ayelet Gonen is a scholar working on Immunology, Molecular Biology and Surgery. According to data from OpenAlex, Ayelet Gonen has authored 33 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Immunology, 10 papers in Molecular Biology and 9 papers in Surgery. Recurrent topics in Ayelet Gonen's work include Atherosclerosis and Cardiovascular Diseases (20 papers), Cholesterol and Lipid Metabolism (6 papers) and Immune Cell Function and Interaction (5 papers). Ayelet Gonen is often cited by papers focused on Atherosclerosis and Cardiovascular Diseases (20 papers), Cholesterol and Lipid Metabolism (6 papers) and Immune Cell Function and Interaction (5 papers). Ayelet Gonen collaborates with scholars based in United States, Israel and Austria. Ayelet Gonen's co-authors include Joseph L. Witztum, Yury I. Miller, Sotirios Tsimikas, Cody J. Diehl, Philipp Wiesner, Xuchu Que, Christoph J. Binder, Karsten Hartvigsen, Aviv Shaish and Dror Harats and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and The Journal of Immunology.

In The Last Decade

Ayelet Gonen

32 papers receiving 1.9k citations

Peers

Ayelet Gonen
Comparison fields: 5 of 98
  • Immunology 1.2k
  • Molecular Biology 607
  • Epidemiology 454
  • Surgery 307
  • Rheumatology 141
Vidya Kunjathoor United States
Soo-Ho Choi United States
Christine Lohmann Switzerland
Amy S. Major United States
Hiroshi Kanamori Japan
Iraide Alloza Spain
Helen J. Palmer United States
Pin Mei Yao United States
Xiaojian Huang China
Lorna P. Andersson United States
Vidya Kunjathoor United States View profile →
Citations per field, relative to Ayelet Gonen
Ayelet Gonen · 1×
Citations per year, relative to Ayelet Gonen
Ayelet Gonen · 1×

Countries citing papers authored by Ayelet Gonen

Since Specialization
Citations

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

Fields of papers citing papers by Ayelet Gonen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ayelet Gonen

This figure shows the co-authorship network connecting the top 25 collaborators of Ayelet Gonen. A scholar is included among the top collaborators of Ayelet Gonen 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 Ayelet Gonen. Ayelet Gonen 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
# Work Indexed citations
1 0
2 25
3 24
4 3
5 8
6 7
7 36
8 13
9 52
10 60
11 44
12 73
13 1
14 43
15 34
16 84
17 90
18 39
19 81
20 6

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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