Paul Collodi

1.9k citations
49 papers · 1.5k · h-index 25

Impact in

  • Physiology top 1%
    • Reproductive biology and impacts on aquatic species
  • Genetics top 2%
    • Animal Genetics and Reproduction
    • Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities

Papers in

    • Pluripotent Stem Cells Research 20
    • CRISPR and Genetic Engineering 12
    • RNA Interference and Gene Delivery 5
    • Animal Genetics and Reproduction 27

Paul Collodi

49 papers receiving 1.4k citations

Peers

Paul Collodi
Comparison fields: 5 of 89
  • Physiology 277
  • Genetics 679
  • Cell Biology 292
  • Aquatic Science 103
  • Molecular Biology 791
Replace Michihiko Ito with:
Michihiko Ito Japan
Nancy A. Dower Canada
Sinnakaruppan Mathavan India
Jonas von Hofsten Sweden
Liezhen Fu United States
Gal Gur Israel
Yuichi Ozaki Japan
Satoshi Yonezawa Japan
Shin‐ichi Kashiwabara Japan
Betty S. Baker United Kingdom
Paul Collodi relative to Michihiko Ito Japan Michihiko Ito's profile →
Citations per field
00.5×2.7×
Michihiko Ito · 1×
Citations per year

Countries citing papers authored by Paul Collodi

Since Specialization
Citations

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

Fields of papers citing papers by Paul Collodi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001126
2
ES-like cell cultures derived from early zebrafish embryos.
199592
3 201188
4 199284
5 199480
6 200557
7 199053
8
Fish embryo cell cultures for derivation of stem cells and transgenic chimeras.
199350
9 200649
10 199347
11 200846
12 201044
13 200244
14 199438
15 200634
16 200832
17 201332
18 199429
19 200329
20 201329

About Paul Collodi

Paul Collodi is a scholar working on Molecular Biology, Genetics, Cell Biology, Physiology and Immunology and Allergy, having authored 49 papers that have together received 1.5k indexed citations. Recurring topics across this work include Animal Genetics and Reproduction (27 papers), Pluripotent Stem Cells Research (20 papers), CRISPR and Genetic Engineering (12 papers), Reproductive biology and impacts on aquatic species (8 papers), Zebrafish Biomedical Research Applications (7 papers), Cell Adhesion Molecules Research (6 papers), RNA Interference and Gene Delivery (5 papers) and Aquaculture Nutrition and Growth (5 papers). The work is most often cited by research in Physiology (277 citations), Genetics (679 citations), Cell Biology (292 citations), Aquatic Science (103 citations) and Molecular Biology (791 citations). Paul Collodi has collaborated with scholars based in United States, Canada and Norway. Frequent co-authors include David W. Barnes, Lianchun Fan, Ten‐Tsao Wong, Chandramallika Ghosh, Jennifer Crodian, Chunguang Ma, Xiangyu Liu, Niels C. Bols, Donald R. Buhler and Yun Zhou. Their work appears in journals such as Zebrafish, PLoS ONE, Matrix Biology, Proceedings of the National Academy of Sciences and Critical Reviews in Eukaryotic Gene Expression.

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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