K. John McLaughlin

4.7k citations
59 papers · 3.7k · h-index 30

Impact in

    • Sperm and Testicular Function
    • Pluripotent Stem Cells Research
    • CRISPR and Genetic Engineering
    • Renal and related cancers
    • Epigenetics and DNA Methylation

Papers in

    • Pluripotent Stem Cells Research 25
    • Epigenetics and DNA Methylation 17
    • Renal and related cancers 10
    • CRISPR and Genetic Engineering 9
    • Genetic Syndromes and Imprinting 14
    • Animal Genetics and Reproduction 9

K. John McLaughlin

58 papers receiving 3.6k citations

Peers

K. John McLaughlin
Comparison fields: 5 of 104
  • Reproductive Medicine 325
  • Molecular Biology 2.8k
  • Genetics 925
  • Public Health, Environmental and Occupational Health 875
  • Sensory Systems 140
Replace Brigid Hogan with:
Brigid Hogan United States
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Kenta Yashiro Japan
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Countries citing papers authored by K. John McLaughlin

Since Specialization
Citations

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

Fields of papers citing papers by K. John McLaughlin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K. John McLaughlin. 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 K. John McLaughlin. The network helps show where K. John McLaughlin may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004449
2 2002427
3 1996303
4 1996261
5 2006218
6 2010179
7 2008143
8 2010137
9 2003132
10 2008114
11 200499
12 200799
13 202180
14 201070
15 200968
16 201858
17 200055
18 200852
19 199651
20 200748

About K. John McLaughlin

K. John McLaughlin is a scholar working on Molecular Biology, Genetics, Public Health, Environmental and Occupational Health, Pediatrics, Perinatology and Child Health and Plant Science, having authored 59 papers that have together received 3.7k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (25 papers), Reproductive Biology and Fertility (19 papers), Epigenetics and DNA Methylation (17 papers), Genetic Syndromes and Imprinting (14 papers), Renal and related cancers (10 papers), Animal Genetics and Reproduction (9 papers), CRISPR and Genetic Engineering (9 papers) and Prenatal Screening and Diagnostics (6 papers). The work is most often cited by research in Reproductive Medicine (325 citations), Molecular Biology (2.8k citations), Genetics (925 citations), Public Health, Environmental and Occupational Health (875 citations) and Sensory Systems (140 citations). K. John McLaughlin has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Sigrid Eckardt, Michele Boiani, Hans R. Schöler, N. Adrian Leu, Fang Yang, Peijing Jeremy Wang, Christiane Bierkamp, Rolf Kemler, Heinz Schwarz and Otmar Huber. Their work appears in journals such as Developmental Biology, Reproduction Fertility and Development, Theriogenology, PLoS ONE and Development.

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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