Karim Labib

8.8k citations
75 papers · 6.7k indexed · 3 hit papers · h-index 42

Impact in

  • Cell Biology top 0.5%
    • Microtubule and mitosis dynamics
    • DNA Repair Mechanisms
    • Genomics and Chromatin Dynamics
    • Fungal and yeast genetics research
    • Epigenetics and DNA Methylation
    • Ubiquitin and proteasome pathways
    • CRISPR and Genetic Engineering

Papers in

    • Genetics, Aging, and Longevity in Model Organisms 6
    • Microtubule and mitosis dynamics 29

Karim Labib

75 papers receiving 6.6k citations

Hit Papers

MINDY-1 Is a Member of an Evolutionarily Conserved and Structurally Distinct New Family of Deubiquitinating Enzymes 2016 · 289 citations
2892000202620082017200400600

Peers

Karim Labib
Comparison fields: 5 of 110
  • Cell Biology 1.8k
  • Molecular Biology 6.3k
  • Aging 106
  • Genetics 884
  • Cancer Research 456
Replace Philippe Pasero with:
Philippe Pasero France
Susan L. Forsburg United States
Douglas K. Bishop United States
Michael Lisby Denmark
Michael N. Boddy United States
Judith L. Campbell United States
Massimo Lopes Switzerland
Étienne Schwob France
Jesper Q. Svejstrup United Kingdom
Dorota Skowyra United States
Karim Labib relative to Philippe Pasero France Philippe Pasero's profile →
Citations per field
00.5×1.6×
Philippe Pasero · 1×
Citations per year

Countries citing papers authored by Karim Labib

Since Specialization
Citations

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

Fields of papers citing papers by Karim Labib

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 202417
3 202312
4 202322
5 202217
6 202219
7 20217
8 202150
9 202128
10 202142
11 202121
12 202132
13 202051
14 201965
15 201854
16 20172
17 201781
18 201724
19 2016268
20 2014172

About Karim Labib

Karim Labib is a scholar working on Aging, Cell Biology, Molecular Biology, Genetics and Plant Science, having authored 75 papers that have together received 6.7k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (50 papers), Microtubule and mitosis dynamics (29 papers), Genomics and Chromatin Dynamics (27 papers), Fungal and yeast genetics research (21 papers), Ubiquitin and proteasome pathways (15 papers), RNA modifications and cancer (8 papers), Mitochondrial Function and Pathology (6 papers) and Genetics, Aging, and Longevity in Model Organisms (6 papers). The work is most often cited by research in Cell Biology (1.8k citations), Molecular Biology (6.3k citations), Aging (106 citations), Genetics (884 citations) and Cancer Research (456 citations). Karim Labib has collaborated with scholars based in United Kingdom, United States and Spain. Frequent co-authors include John F.X. Diffley, Masato T. Kanemaki, Stephen Kearsey, Agnieszka Gambus, Alberto Sánchez‐Díaz, Giacomo De Piccoli, José Antonio Tercero, Frederick van Deursen, Ben Hodgson and Richard C. Jones. Their work appears in journals such as The EMBO Journal, Molecular Cell, Cell Reports, Journal of Cell Science and Nature Cell 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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2026