Leonor Rib

409 citations
14 papers · 288 · h-index 9

Impact in

Papers in

    • Liver physiology and pathology 3
    • Genomics and Chromatin Dynamics 4
    • RNA Research and Splicing 2
    • Genetics, Bioinformatics, and Biomedical Research 1
    • Epigenetics and DNA Methylation 1
    • Hedgehog Signaling Pathway Studies 1

Leonor Rib

14 papers receiving 286 citations

Peers

Leonor Rib
Comparison fields: 5 of 36
  • Aging 5
  • Hepatology 26
  • Molecular Biology 170
  • Genetics 38
  • Cancer Research 15
Replace Bin Xiong with:
Bin Xiong China
Tamar Jana Israel
Tammy L Romanuik Canada
Laura Biggins United Kingdom
Bernd Rattenbacher United States
James G. Respess United States
Tessa Gaarenstroom United Kingdom
William F. Richter United States
Christopher J. Wedeles Canada
Rami Jaschek Israel
Leonor Rib relative to Bin Xiong China Bin Xiong's profile →
Citations per field
00.5×2×3.3×
Bin Xiong · 1×
Citations per year

Countries citing papers authored by Leonor Rib

Since Specialization
Citations

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

Fields of papers citing papers by Leonor Rib

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 202270
2 202057
3 201934
4 202232
5 200921
6 201819
7 201813
8 201712
9 201810
10 20198
11 20235
12 20204
13 20222
14 20251

About Leonor Rib

Leonor Rib is a scholar working on Hepatology, Molecular Biology, Public Health, Environmental and Occupational Health, Immunology and Genetics, having authored 14 papers that have together received 288 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (4 papers), Liver physiology and pathology (3 papers), Streptococcal Infections and Treatments (2 papers), RNA Research and Splicing (2 papers), Genetics, Bioinformatics, and Biomedical Research (1 paper), Epigenetics and DNA Methylation (1 paper), Hedgehog Signaling Pathway Studies (1 paper) and Liver Disease Diagnosis and Treatment (1 paper). The work is most often cited by research in Aging (5 citations), Hepatology (26 citations), Molecular Biology (170 citations), Genetics (38 citations) and Cancer Research (15 citations). Leonor Rib has collaborated with scholars based in Denmark, Switzerland and United States. Frequent co-authors include Albin Sandelin, Torben Heick Jensen, Manfred Schmid, Mengjun Wu, Kristian Helin, Iris I. Müller, Katsutoshi Imamura, Nicola Meola, Guifen Wu and Shilpi Minocha. Their work appears in journals such as Cell Reports, Molecular and Cellular Biology, Molecular Cell, Hepatology Communications and F1000Research.

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