Clara Moch

593 citations
19 papers · 465 · h-index 13

Impact in

Papers in

    • CRISPR and Genetic Engineering 5
    • Protist diversity and phylogeny 4
    • Genomics and Chromatin Dynamics 3
    • Animal Genetics and Reproduction 5
    • Virus-based gene therapy research 4

Clara Moch

19 papers receiving 462 citations

Peers

Clara Moch
Comparison fields: 5 of 69
  • Aging 10
  • Cell Biology 90
  • Dermatology 42
  • Molecular Biology 332
  • Genetics 72
Replace Dace Pjanova with:
Dace Pjanova Latvia
Angeline Su Ling Tay Singapore
Sittinan Chanarat Thailand
Mijke Visser Netherlands
Wakako Shinahara Japan
Christine Ticknor United States
Kathleen E. Steinmann United States
Claudia Temme Germany
Janet A. Weber United States
Keren L. Witkin United States
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Citations per field
00.5×2.6×
Dace Pjanova · 1×
Citations per year

Countries citing papers authored by Clara Moch

Since Specialization
Citations

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

Fields of papers citing papers by Clara Moch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 199986
2 201373
3 200972
4 199436
5 199328
6 200326
7 200219
8 202217
9 201517
10 200716
11 201615
12 202313
13 200112
14 200510
15 19947
16 20016
17 20196
18 19934
19
Independence and interdependence of the three human aldolase A promoters in transgenic mice.
19962

About Clara Moch

Clara Moch is a scholar working on Molecular Biology, Genetics, Ecology, Cell Biology and Oncology, having authored 19 papers that have together received 465 indexed citations. Recurring topics across this work include Animal Genetics and Reproduction (5 papers), CRISPR and Genetic Engineering (5 papers), Protist diversity and phylogeny (4 papers), Virus-based gene therapy research (4 papers), Microtubule and mitosis dynamics (3 papers), Microbial Community Ecology and Physiology (3 papers), Genomics and Chromatin Dynamics (3 papers) and Cancer-related Molecular Pathways (2 papers). The work is most often cited by research in Aging (10 citations), Cell Biology (90 citations), Dermatology (42 citations), Molecular Biology (332 citations) and Genetics (72 citations). Clara Moch has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Jean‐René Huynh, Eduardo Villalobo, Marjo Salminen, Dominique Daegelen, Jean‐Paul Concordet, Pascal Maire, Jean‐Pierre Molès, Nadem Soufir, Nicole Basset‐Séguin and C Vilmer. Their work appears in journals such as Molecular and Cellular Biology, Developmental Cell, Molecular Biology and Evolution, iScience and Cell Reports.

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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