Tamar Ziv

5.6k citations
101 papers · 4.0k · h-index 38

Impact in

    • Ubiquitin and proteasome pathways
    • RNA and protein synthesis mechanisms
    • Endoplasmic Reticulum Stress and Disease

Papers in

    • Ubiquitin and proteasome pathways 28
    • RNA and protein synthesis mechanisms 7
    • Redox biology and oxidative stress 6
    • Immunotherapy and Immune Responses 7

Tamar Ziv

96 papers receiving 3.9k citations

Peers

Tamar Ziv
Comparison fields: 5 of 136
  • Molecular Biology 2.6k
  • Cell Biology 528
  • Physiology 100
  • Immunology 417
  • Biochemistry 118
Replace Vincent S. Tagliabracci with:
Vincent S. Tagliabracci United States
Mathias Walzer Germany
Yoshikazu Nakamura Japan
David García‐Seisdedos Spain
Jingwen Bai China
Ananth Prakash United Kingdom
Shengbo Wang United Kingdom
Yoshiakira Kanai Japan
Deepti J Kundu United Kingdom
Chakradhar Bandla United Kingdom
Tamar Ziv relative to Vincent S. Tagliabracci United States Vincent S. Tagliabracci's profile →
Citations per field
00.5×11×
Vincent S. Tagliabracci · 1×
Citations per year

Countries citing papers authored by Tamar Ziv

Since Specialization
Citations

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

Fields of papers citing papers by Tamar Ziv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 101 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017222
2 2016206
3 2006195
4 1990182
5 2013159
6 2004151
7 2021144
8 2010139
9 2016128
10 200899
11 200495
12 201587
13 201882
14 200977
15 200273
16 201572
17 201669
18 201568
19 199066
20 201763

About Tamar Ziv

Tamar Ziv is a scholar working on Molecular Biology, Immunology, Oncology, Cell Biology and Epidemiology, having authored 101 papers that have together received 4.0k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (28 papers), Autophagy in Disease and Therapy (8 papers), Endoplasmic Reticulum Stress and Disease (7 papers), RNA and protein synthesis mechanisms (7 papers), Immunotherapy and Immune Responses (7 papers), Peptidase Inhibition and Analysis (7 papers), Sulfur Compounds in Biology (7 papers) and Redox biology and oxidative stress (6 papers). The work is most often cited by research in Molecular Biology (2.6k citations), Cell Biology (528 citations), Physiology (100 citations), Immunology (417 citations) and Biochemistry (118 citations). Tamar Ziv has collaborated with scholars based in Israel, United States and Spain. Frequent co-authors include Arie Admon, Aaron Ciechanover, Eilon Barnea, Eduardo Mitrani, Ilan Beer, Ami Navon, Yael Shimoni, Yong Tae Kwon, Ido Livneh and Yael David. Their work appears in journals such as Journal of Biological Chemistry, Biochemical and Biophysical Research Communications, Proceedings of the National Academy of Sciences, Molecular & Cellular Proteomics and Scientific 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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