Jacques E. Riby

3k citations
51 papers · 2.5k · h-index 28

Impact in

    • Lymphoma Diagnosis and Treatment
  • Genetics top 5%
    • Genetic Associations and Epidemiology
    • Chronic Lymphocytic Leukemia Research
    • Estrogen and related hormone effects

Papers in

    • Lymphoma Diagnosis and Treatment 16
    • Digestive system and related health 7
    • Genetic Associations and Epidemiology 6
    • Estrogen and related hormone effects 6
    • Chronic Lymphocytic Leukemia Research 4

Jacques E. Riby

50 papers receiving 2.5k citations

Peers

Jacques E. Riby
Comparison fields: 5 of 106
  • Pathology and Forensic Medicine 542
  • Genetics 198
  • Genetics 554
  • Health, Toxicology and Mutagenesis 221
  • Pharmacology 113
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Citations per field
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Countries citing papers authored by Jacques E. Riby

Since Specialization
Citations

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

Fields of papers citing papers by Jacques E. Riby

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jacques E. Riby. 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 Jacques E. Riby. The network helps show where Jacques E. Riby may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999224
2 2013170
3 2015144
4 2014143
5 2010135
6 2009129
7
Indole-3-carbinol and tamoxifen cooperate to arrest the cell cycle of MCF-7 human breast cancer cells.
1999127
8 1999100
9 199593
10 201690
11 201488
12 201187
13 200078
14 199173
15 201267
16 200057
17 201555
18 201653
19 200845
20 201045

About Jacques E. Riby

Jacques E. Riby is a scholar working on Pathology and Forensic Medicine, Genetics, Gastroenterology, Genetics and Pharmacology, having authored 51 papers that have together received 2.5k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (16 papers), Digestive system and related health (7 papers), Genetic Associations and Epidemiology (6 papers), Estrogen and related hormone effects (6 papers), Chronic Lymphocytic Leukemia Research (4 papers), Pharmacogenetics and Drug Metabolism (4 papers), Toxic Organic Pollutants Impact (4 papers) and Diet, Metabolism, and Disease (3 papers). The work is most often cited by research in Pathology and Forensic Medicine (542 citations), Genetics (198 citations), Genetics (554 citations), Health, Toxicology and Mutagenesis (221 citations) and Pharmacology (113 citations). Jacques E. Riby has collaborated with scholars based in United States, Sweden and Singapore. Frequent co-authors include Leonard F. Bjeldanes, Gary L. Firestone, C Schaldach, Norman Kretchmer, Takuji Fujisawa, Yu‐Chen Chang, Christine F. Skibola, Lucía Conde, Yue‐Hwa Chen and Chibo Hong. Their work appears in journals such as Nature Genetics, Nature Communications, Biochemical Pharmacology, Blood and Pediatric Research.

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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