Paz Einat

5.1k citations
21 papers · 4.3k indexed · 1 hit paper · h-index 17

Paz Einat

21 papers receiving 4.2k citations

Hit Papers

Identification of hundreds of conserved and nonconserved ...1.5k20052026201220194008001.2k

Peers

Paz Einat
Comparison fields: 5 of 121
  • Cancer Research 1.9k
  • Molecular Biology 3.2k
  • Endocrine and Autonomic Systems 134
  • Obstetrics and Gynecology 139
  • Aging 31
Replace Jan Krützfeldt with:
Jan Krützfeldt Switzerland
Douglas S. Darling United States
Jean‐Dominique Vassalli Switzerland
Matthew N. Poy United States
Hannes C. A. Drexler Germany
Yanqin Yang United States
Dmitri Chilov Finland
Gertraud W. Robinson United States
Jorge Laborda Spain
Guntram Suske Germany
Paz Einat relative to Jan Krützfeldt Switzerland Jan Krützfeldt's profile →
Citations per field
00.5×2.6×
Jan Krützfeldt · 1×
Citations per year

Countries citing papers authored by Paz Einat

Since Specialization
Citations

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

Fields of papers citing papers by Paz Einat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201474
2 200836
3 20068
4
Identification of hundreds of conserved and nonconserved human microRNAsbreakdown →
20051487
5 2004446
6 2004105
7 200316
8 200366
9 2003150
10 2002479
11 2002315
12 2002153
13
Rare variants of ATM and risk for Hodgkin's disease and radiation-associated breast cancers.
200229
14 2000105
15 1998416
16 19964
17
Homeobox genes in mouse development.
199172
18 19906
19 1989192
20 198717

About Paz Einat

Paz Einat is a scholar working on Cancer Research, Endocrine and Autonomic Systems and Biochemistry, having authored 21 papers that have together received 4.3k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), MicroRNA in disease regulation (3 papers), Animal Genetics and Reproduction (3 papers), Cancer-related gene regulation (3 papers), Virus-based gene therapy research (2 papers), melanin and skin pigmentation (2 papers) and Lipid metabolism and biosynthesis (2 papers). The work is most often cited by research in Cancer Research (1.9k citations), Molecular Biology (3.2k citations) and Endocrine and Autonomic Systems (134 citations). Paz Einat has collaborated with scholars based in Israel, United States and Switzerland. Frequent co-authors include Shlomit Gilad, Omer Barad, Eti Meiri, Ranit Aharonov, Zvi Bentwich, Eilon Sharon, Isaac Bentwich, Amir Avniel, Rami Skaliter and Yael Spector. Their work appears in journals such as Genes & Development, Oncogene, Molecular and Cellular Biology, Differentiation and Nature Genetics.

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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