Pazit Polak

2.8k citations
34 papers · 2.1k · h-index 17

Impact in

  • Aging top 2%
    • Genetics, Aging, and Longevity in Model Organisms
    • PI3K/AKT/mTOR signaling in cancer
    • Metabolism, Diabetes, and Cancer
    • Protein Kinase Regulation and GTPase Signaling

Papers in

    • Metabolism, Diabetes, and Cancer 4
    • Protein Kinase Regulation and GTPase Signaling 4
    • PI3K/AKT/mTOR signaling in cancer 4
    • vaccines and immunoinformatics approaches 3
    • T-cell and B-cell Immunology 9
    • Immune Cell Function and Interaction 7

Pazit Polak

33 papers receiving 2.1k citations

Peers

Pazit Polak
Comparison fields: 5 of 132
  • Aging 124
  • Molecular Biology 1.3k
  • Immunology 296
  • Physiology 350
  • Geriatrics and Gerontology 43
Replace Sushma Nagaraja Grellscheid with:
Sushma Nagaraja Grellscheid United Kingdom
Brian C. Capell United States
Albert S. Jun United States
Pekka Katajisto Finland
Francisco Rodríguez Spain
Pankuri Goraksha-Hicks United States
Nikolay Nikolsky Russia
Mila Ljujić Serbia
Olivier Pluquet France
Pazit Polak relative to Sushma Nagaraja Grellscheid United Kingdom Sushma Nagaraja Grellscheid's profile →
Citations per field
00.5×3.1×
Sushma Nagaraja Grellscheid · 1×
Citations per year

Countries citing papers authored by Pazit Polak

Since Specialization
Citations

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

Fields of papers citing papers by Pazit Polak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012472
2 2008418
3 2009254
4 2007240
5 2009153
6 2013126
7 201969
8 201560
9 201943
10 201535
11 202230
12 202129
13 202129
14 201828
15 201924
16 200521
17 201320
18 202312
19 202310
20 202210

About Pazit Polak

Pazit Polak is a scholar working on Molecular Biology, Immunology, Radiology, Nuclear Medicine and Imaging, Physiology and Genetics, having authored 34 papers that have together received 2.1k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (9 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Immune Cell Function and Interaction (7 papers), Metabolism, Diabetes, and Cancer (4 papers), Protein Kinase Regulation and GTPase Signaling (4 papers), PI3K/AKT/mTOR signaling in cancer (4 papers), vaccines and immunoinformatics approaches (3 papers) and Photodynamic Therapy Research Studies (2 papers). The work is most often cited by research in Aging (124 citations), Molecular Biology (1.3k citations), Immunology (296 citations), Physiology (350 citations) and Geriatrics and Gerontology (43 citations). Pazit Polak has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include Michael N. Hall, Markus A. Rüegg, Nadine Cybulski, Johan Auwerx, Jérôme N. Feige, Orit Shefi, Francesca Trapani, Markus H. Heim, Luigi Terracciano and Asami Hagiwara. Their work appears in journals such as Frontiers in Immunology, Nucleic Acids Research, Cell Metabolism, Briefings in Bioinformatics and Journal of Visualized Experiments.

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