Isabel Zaror

500 citations
11 papers · 151 · h-index 7

Impact in

    • PI3K/AKT/mTOR signaling in cancer
    • Fungal and yeast genetics research
    • DNA Repair Mechanisms
    • RNA and protein synthesis mechanisms

Papers in

    • Glycosylation and Glycoproteins Research 2
    • RNA and protein synthesis mechanisms 2
    • Protein purification and stability 1
    • DNA Repair Mechanisms 1
    • Bacteriophages and microbial interactions 2

Isabel Zaror

11 papers receiving 148 citations

Peers

Isabel Zaror
Comparison fields: 5 of 40
  • Endocrinology 8
  • Molecular Biology 103
  • Genetics 9
  • Molecular Medicine 4
  • Genetics 22
Replace Rosalba Sánchez with:
Rosalba Sánchez Mexico
Li Phing Liew United Kingdom
Ximo Pechuan-Jorge United States
Albertas Navickas United States
Katerina Bendak Australia
Marlo Firme Canada
Kyoko E. Yuki Canada
Kotaro Koiwai Japan
Erich Jaeger United States
Linnea L. Brody United States
Isabel Zaror relative to Rosalba Sánchez Mexico Rosalba Sánchez's profile →
Citations per field
00.5×1.5×
Rosalba Sánchez · 1×
Citations per year

Countries citing papers authored by Isabel Zaror

Since Specialization
Citations

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

Fields of papers citing papers by Isabel Zaror

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 201029
2 201729
3 200127
4 201720
5 198814
6 199313
7 20099
8 19886
9
Activity of secreted Kunitz domain 1 variants of tissue factor pathway inhibitor.
19982
10 20091
11 20151

About Isabel Zaror

Isabel Zaror is a scholar working on Molecular Biology, Ecology, Genetics, Pulmonary and Respiratory Medicine and Epidemiology, having authored 11 papers that have together received 151 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (2 papers), Bacterial Genetics and Biotechnology (2 papers), Bacteriophages and microbial interactions (2 papers), RNA and protein synthesis mechanisms (2 papers), Advanced Proteomics Techniques and Applications (1 paper), Protein purification and stability (1 paper), DNA Repair Mechanisms (1 paper) and Enzyme Structure and Function (1 paper). The work is most often cited by research in Endocrinology (8 citations), Molecular Biology (103 citations), Genetics (9 citations), Molecular Medicine (4 citations) and Genetics (22 citations). Isabel Zaror has collaborated with scholars based in United States, Switzerland and Chile. Frequent co-authors include Alejandro Venegas, Arturo Yudelevich, Isabel Gómez, Patricio Opazo, Gregory M. Marcus, Mark Knapp, Dirksen E. Bussiere, Manuel Gidekel, Robert Warne and Janet Sim. Their work appears in journals such as Protein Expression and Purification, Analytical Biochemistry, FEBS Letters, Nucleic Acids Research and European Journal of 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.

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