Or Gozani

18.3k citations
108 papers · 11.7k indexed · 4 hit papers · h-index 57
  • Aging top 0.5%
    • Epigenetics and DNA Methylation 54
    • Cancer-related gene regulation 46
    • RNA modifications and cancer 38
    • Genomics and Chromatin Dynamics 27
    • RNA Research and Splicing 16
    • Ubiquitin and proteasome pathways 10
    • RNA and protein synthesis mechanisms 10
    • Protein Degradation and Inhibitors 9
  • Physiology top 1%

Or Gozani

105 papers receiving 11.6k citations

Hit Papers

Histone lysine methyltransfer...3102006202620122019250500750

Peers

Or Gozani
Comparison fields: 5 of 134
  • Geriatrics and Gerontology 1.1k
  • Aging 356
  • Molecular Biology 9.6k
  • Physiology 295
  • Cancer Research 839
Replace Tej K. Pandita with:
Tej K. Pandita United States
Zhenkun Lou United States
Carson C. Thoreen United States
Jun Qin United States
Geert J.P.L. Kops Netherlands
Óscar Fernández-Capetillo Spain
Kevin M. Haigis United States
Valérie Schreiber France
Anders M. Näär United States
Santo V. Nicosia United States
Or Gozani relative to Tej K. Pandita United States Tej K. Pandita's profile →
Citations per field
00.5×3.1×
Tej K. Pandita · 1×
Citations per year

Countries citing papers authored by Or Gozani

Since Specialization
Citations

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

Fields of papers citing papers by Or Gozani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202310
2 20230
3 20234
4 20227
5 202145
6 2016112
7 201619
8 201672
9 201340
10 2010179
11 201048
12 2010338
13 201065
14 2009237
15 2008142
16 2007162
17 2006207
18 200512
19 200215
20 2001256

About Or Gozani

Or Gozani is a scholar working on Molecular Biology, Aging and Geriatrics and Gerontology, having authored 108 papers that have together received 11.7k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (54 papers), Cancer-related gene regulation (46 papers), RNA modifications and cancer (38 papers), Genomics and Chromatin Dynamics (27 papers), RNA Research and Splicing (16 papers), Ubiquitin and proteasome pathways (10 papers), RNA and protein synthesis mechanisms (10 papers) and Protein Degradation and Inhibitors (9 papers). The work is most often cited by research in Geriatrics and Gerontology (1.1k citations), Aging (356 citations) and Molecular Biology (9.6k citations). Or Gozani has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Xiaobing Shi, Robin Reed, Peggie Cheung, Alex Kuo, Tatiana G. Kutateladze, Katrin F. Chua, Dylan Husmann, Scott M. Carlson, Kay L. Walter and Mitomu Kioi. Their work appears in journals such as Journal of Biological Chemistry, Nature, Molecular Cell, Journal of Molecular Biology and Molecular and Cellular Biology.

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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