Guy Rosner

1.4k citations
31 papers · 1k · 1 hit paper · h-index 14

Impact in

Papers in

Guy Rosner

30 papers receiving 978 citations

Guy Rosner's Hit Papers

Cancer risks by gene, age, and gender in 6350 carriers of pathogenic mismatch repair variants: findings from the Prospective Lynch Syndrome Database 2019 · 488 citations
4880+2+4Years since publication100200300400

Peers

Guy Rosner
Comparison fields: 5 of 61
  • Pathology and Forensic Medicine 584
  • Genetics 166
  • Oncology 108
  • Obstetrics and Gynecology 40
  • Epidemiology 66
Replace Maureen E. Mork with:
Maureen E. Mork United States
C A Rubio Sweden
Sarah A. Bannon United States
Brindusa Truta United States
José Cláudio Casali da Rocha Brazil
Fujihiko Suzuki Japan
Simone Snijder Netherlands
Danielle E. Engler United States
P.M. Bolton United Kingdom
C I Li United States
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Citations per year

Countries citing papers authored by Guy Rosner

Since Specialization
Citations

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

Fields of papers citing papers by Guy Rosner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Cancer risks by gene, age, and gender in 6350 carriers of pathogenic mismatch repair variants: findings from the Prospective Lynch Syndrome Database
Hit paper breakdown →
2019488
2 202371
3 200462
4 200961
5 202245
6 202032
7 201429
8 201326
9 201923
10 201917
11 201316
12 202016
13 202116
14 202114
15 201311
16 201711
17 201410
18 202210
19 202310
20 20228

About Guy Rosner

Guy Rosner is a scholar working on Pathology and Forensic Medicine, Oncology, Genetics, Molecular Medicine and Epidemiology, having authored 31 papers that have together received 1k indexed citations. Recurring topics across this work include Genetic factors in colorectal cancer (22 papers), BRCA gene mutations in cancer (4 papers), Hepatitis B Virus Studies (2 papers), Pancreatic and Hepatic Oncology Research (2 papers), Colorectal Cancer Screening and Detection (2 papers), Inflammatory Bowel Disease (1 paper), Prenatal Screening and Diagnostics (1 paper) and Soft tissue tumor case studies (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (584 citations), Genetics (166 citations), Oncology (108 citations), Obstetrics and Gynecology (40 citations) and Epidemiology (66 citations). Guy Rosner has collaborated with scholars based in Israel, Australia and United Kingdom. Frequent co-authors include Serena Rosner, Avi Orr‐Urtreger, Hana Strul, Revital Kariv, Nathan Gluck, Naomi Fliss Isakov, Erwin Santo, Zamir Halpern, Ziv Ben‐Ari and Emanuel Sikuler. Their work appears in journals such as Clinical and Translational Gastroenterology, Familial Cancer, Journal of Clinical Medicine, Genes and Genetics in Medicine.

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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