A. Avivi

685 citations
16 papers · 598 · h-index 13

Impact in

  • Cell Biology top 10%
    • Proteoglycans and glycosaminoglycans research
    • Fibroblast Growth Factor Research
    • Kruppel-like factors research
    • Epigenetics and DNA Methylation
    • Wnt/β-catenin signaling in development and cancer
    • Glycosylation and Glycoproteins Research

Papers in

A. Avivi

16 papers receiving 571 citations

Peers

A. Avivi
Comparison fields: 5 of 75
  • Cell Biology 173
  • Molecular Biology 454
  • Developmental Neuroscience 18
  • Immunology and Allergy 26
  • Genetics 118
Replace P. Daubas with:
P. Daubas France
Piers Acland United Kingdom
Robert Opoka United States
B. Bugler France
Ken Matsumoto Japan
S.Y. Moon South Korea
Emilios Tahinci United States
Xianwang Meng United States
Annika Jalava Finland
Kenkoh Muroya Japan
A. Avivi relative to P. Daubas France P. Daubas's profile →
Citations per field
00.5×1.7×
P. Daubas · 1×
Citations per year

Countries citing papers authored by A. Avivi

Since Specialization
Citations

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

Fields of papers citing papers by A. Avivi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside A. Avivi, 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 A. Avivi Line = papers co-authored together A. Avivi links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 1992147
2
The murine flg gene encodes a receptor for fibroblast growth factor.
1990100
3
Flg-2, a new member of the family of fibroblast growth factor receptors.
199149
4
PCR-based identification of new receptors: molecular cloning of a receptor for fibroblast growth factors.
199149
5 198246
6
Comparison of EGF receptor sequences as a guide to study the ligand binding site.
199143
7 198127
8
Promoter region of the murine fibroblast growth factor receptor 2 (bek/KGFR) gene.
199227
9 198526
10 198519
11 200518
12 198217
13 198414
14 19828
15 19814
16 19824

About A. Avivi

A. Avivi is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Endocrinology, Diabetes and Metabolism, Oncology and Genetics, having authored 16 papers that have together received 598 indexed citations. Recurring topics across this work include Fibroblast Growth Factor Research (5 papers), Glycosylation and Glycoproteins Research (2 papers), Animal Genetics and Reproduction (2 papers), Thyroid Disorders and Treatments (2 papers), Neuropeptides and Animal Physiology (2 papers), Advanced Proteomics Techniques and Applications (1 paper), S100 Proteins and Annexins (1 paper) and Protein Degradation and Inhibitors (1 paper). The work is most often cited by research in Cell Biology (173 citations), Molecular Biology (454 citations), Developmental Neuroscience (18 citations), Immunology and Allergy (26 citations) and Genetics (118 citations). A. Avivi has collaborated with scholars based in Israel and United States. Frequent co-authors include David Givol, Avner Yayon, Joseph Schlessinger, Yitzhak Zimmer, Yosef Yarden, Yosef Yarden, Gera Neufeld, Donatella Tramontano, Peter Lonai and Anat Safran. Their work appears in journals such as The EMBO Journal, Journal of Biological Chemistry, European Journal of Endocrinology, Proceedings of the National Academy of Sciences and International Journal of Cancer.

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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