Götz Laible

4.2k citations
66 papers · 3.2k · h-index 25

Impact in

Papers in

    • CRISPR and Genetic Engineering 31
    • Pluripotent Stem Cells Research 10
    • Genomics and Chromatin Dynamics 9
    • Viral Infectious Diseases and Gene Expression in Insects 6
    • Animal Genetics and Reproduction 41

Götz Laible

64 papers receiving 3.1k citations

Peers

Götz Laible
Comparison fields: 5 of 110
  • Molecular Medicine 312
  • Genetics 918
  • Microbiology 186
  • Molecular Biology 2.1k
  • Epidemiology 714
Replace Christina L. Stallings with:
Christina L. Stallings United States
Vickers Burdett United States
Michal Mudd United States
Kimberly M. Brothers United States
Anton V. Zavialov Finland
Martin J. Pearse Australia
Mark Pelletier United States
Catherine Grillot‐Courvalin France
Arne Rietsch United States
Gérard Tiraby France
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Citations per field
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Christina L. Stallings · 1×
Citations per year

Countries citing papers authored by Götz Laible

Since Specialization
Citations

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

Fields of papers citing papers by Götz Laible

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991357
2 1998298
3 2000246
4 1997244
5 1991232
6 1997207
7 2003177
8 2000164
9 2002135
10 1989109
11 199180
12 201268
13 201666
14 201461
15 200152
16 201252
17 200851
18 201846
19 201541
20 200932

About Götz Laible

Götz Laible is a scholar working on Molecular Biology, Genetics, Epidemiology, Public Health, Environmental and Occupational Health and Plant Science, having authored 66 papers that have together received 3.2k indexed citations. Recurring topics across this work include Animal Genetics and Reproduction (41 papers), CRISPR and Genetic Engineering (31 papers), Pluripotent Stem Cells Research (10 papers), Genomics and Chromatin Dynamics (9 papers), Pneumonia and Respiratory Infections (7 papers), Reproductive Biology and Fertility (7 papers), Antibiotic Resistance in Bacteria (6 papers) and Viral Infectious Diseases and Gene Expression in Insects (6 papers). The work is most often cited by research in Molecular Medicine (312 citations), Genetics (918 citations), Microbiology (186 citations), Molecular Biology (2.1k citations) and Epidemiology (714 citations). Götz Laible has collaborated with scholars based in New Zealand, Germany and United States. Frequent co-authors include Regine Hakenbeck, Thomas Jenuwein, David N. Wells, Brian G. Spratt, Rainer Dorn, Günter Reuter, Brigid Brophy, P.J. L'Huillier, Björn Oback and Manfred Schmid. Their work appears in journals such as Scientific Reports, Biotechnology Journal, Reproduction Fertility and Development, Molecular and Cellular Biology and Theriogenology.

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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