John Lough

4.0k citations
91 papers · 2.8k · h-index 31

Impact in

Papers in

    • Congenital heart defects research 31
    • Pluripotent Stem Cells Research 17
    • Muscle Physiology and Disorders 15
    • Genomics and Chromatin Dynamics 9
    • Ubiquitin and proteasome pathways 7
    • Tissue Engineering and Regenerative Medicine 13

John Lough

91 papers receiving 2.8k citations

Peers

John Lough
Comparison fields: 5 of 108
  • Molecular Biology 2.3k
  • Cardiology and Cardiovascular Medicine 304
  • Surgery 573
  • Genetics 368
  • Cell Biology 202
Replace Peter A. Cattini with:
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John Lough relative to Peter A. Cattini Canada Peter A. Cattini's profile →
Citations per field
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Peter A. Cattini · 1×
Citations per year

Countries citing papers authored by John Lough

Since Specialization
Citations

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

Fields of papers citing papers by John Lough

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010176
2 1996171
3 2000170
4 1996155
5 2000123
6 1994110
7 1995104
8 200989
9 201489
10 199380
11 197775
12 201664
13 199161
14 199660
15 200650
16 199549
17 201148
18 199247
19 201042
20 198841

About John Lough

John Lough is a scholar working on Molecular Biology, Surgery, Cardiology and Cardiovascular Medicine, Genetics and Cell Biology, having authored 91 papers that have together received 2.8k indexed citations. Recurring topics across this work include Congenital heart defects research (31 papers), Pluripotent Stem Cells Research (17 papers), Muscle Physiology and Disorders (15 papers), Tissue Engineering and Regenerative Medicine (13 papers), Genomics and Chromatin Dynamics (9 papers), Animal Genetics and Reproduction (8 papers), Ubiquitin and proteasome pathways (7 papers) and Cardiomyopathy and Myosin Studies (7 papers). The work is most often cited by research in Molecular Biology (2.3k citations), Cardiology and Cardiovascular Medicine (304 citations), Surgery (573 citations), Genetics (368 citations) and Cell Biology (202 citations). John Lough has collaborated with scholars based in United States, Italy and Australia. Frequent co-authors include Yukiko Sugi, Matthew Barron, David L. Bolender, Joachim Sasse, Xiaolei Zhu, Richard Bischoff, Donna McAllister, Ming Gao, Susan M. Smith and Stacy Koprowski. Their work appears in journals such as Developmental Dynamics, Developmental Biology, PLoS ONE, Journal of Biological Chemistry and Journal of Cellular Physiology.

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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