Irit Sagi

11.9k citations
140 papers · 7.8k · 1 hit paper · h-index 49

Impact in

Papers in

Irit Sagi

138 papers receiving 7.7k citations

Irit Sagi's Hit Papers

The extracellular matrix protein agrin promotes heart regeneration in mice 2017 · 488 citations
4880+3+6Years since publication100200300400

Peers

Irit Sagi
Comparison fields: 5 of 163
  • Biomaterials 1.4k
  • Cancer Research 1.3k
  • Immunology and Allergy 440
  • Oncology 1.5k
  • Paleontology 387
Replace Peter V. Hauschka with:
Peter V. Hauschka United States
Walter Keller Austria
Takeshi Kasama Japan
Boris Turk Slovenia
Melvin J. Glimcher United States
Peter M. Frederik Netherlands
Qin Yan China
Hiroshi Miyamoto United States
Yan Liu China
Max M. Burger Switzerland
Irit Sagi relative to Peter V. Hauschka United States Peter V. Hauschka's profile →
Citations per field
00.5×10.1×
Peter V. Hauschka · 1×
Citations per year

Countries citing papers authored by Irit Sagi

Since Specialization
Citations

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

Fields of papers citing papers by Irit Sagi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 140 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The extracellular matrix protein agrin promotes heart regeneration in mice
Hit paper breakdown →
2017488
2 2008368
3 2005287
4 2016277
5 1992261
6 2019255
7 2009216
8 2008202
9 2006194
10 2002184
11 2011167
12 2020158
13 2017147
14 2017132
15 2011130
16 2009128
17 2016107
18 2010106
19 2003105
20 2016102

About Irit Sagi

Irit Sagi is a scholar working on Molecular Biology, Cancer Research, Oncology, Immunology and Allergy and Immunology, having authored 140 papers that have together received 7.8k indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (44 papers), Peptidase Inhibition and Analysis (31 papers), Cell Adhesion Molecules Research (14 papers), Signaling Pathways in Disease (13 papers), RNA and protein synthesis mechanisms (11 papers), Blood Coagulation and Thrombosis Mechanisms (7 papers), Enzyme Structure and Function (7 papers) and Monoclonal and Polyclonal Antibodies Research (6 papers). The work is most often cited by research in Biomaterials (1.4k citations), Cancer Research (1.3k citations), Immunology and Allergy (440 citations), Oncology (1.5k citations) and Paleontology (387 citations). Irit Sagi has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Lia Addadi, Steve Weiner, Inna Solomonov, Yael Udi, Vishnu Mohan, Yael Politi, Alakesh Das, Moran Grossman, Yael Levi‐Kalisman and Sefi Raz. Their work appears in journals such as Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Journal of the American Chemical Society, PLoS ONE and Biochemistry.

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.

Explore authors with similar magnitude of impact