John P. Wing

1.2k citations
6 papers · 1.0k · h-index 6

Impact in

  • Aging top 2%
    • Genetics, Aging, and Longevity in Model Organisms
    • Cell death mechanisms and regulation
    • Ubiquitin and proteasome pathways
    • Mitochondrial Function and Pathology

Papers in

    • Cell death mechanisms and regulation 3
    • Insect Resistance and Genetics 3
    • Signaling Pathways in Disease 2
    • Mitochondrial Function and Pathology 2
    • Photosynthetic Processes and Mechanisms 1
    • CRISPR and Genetic Engineering 1
    • Autophagy in Disease and Therapy 2

John P. Wing

6 papers receiving 1.0k citations

Peers

John P. Wing
Comparison fields: 5 of 77
  • Aging 103
  • Molecular Biology 881
  • Cell Biology 183
  • Immunology 182
  • Oncology 191
Replace Mathieu Miron with:
Mathieu Miron Canada
Elena Zelin United States
Craig R. Stumpf United States
Rubén Henríquez Switzerland
Ulrich Elling Austria
Sudip Mandal India
Gregory A. Cope United States
Christopher H. Eskiw Canada
Jan H. Reiling Germany
John P. Wing relative to Mathieu Miron Canada Mathieu Miron's profile →
Citations per field
00.5×2.9×
Mathieu Miron · 1×
Citations per year

Countries citing papers authored by John P. Wing

Since Specialization
Citations

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

Fields of papers citing papers by John P. Wing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside John P. Wing, 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 P. Wing Line = papers co-authored together John P. Wing links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown

About John P. Wing

John P. Wing is a scholar working on Molecular Biology, Epidemiology, Aging, Infectious Diseases and Organic Chemistry, having authored 6 papers that have together received 1.0k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (3 papers), Insect Resistance and Genetics (3 papers), Signaling Pathways in Disease (2 papers), Mitochondrial Function and Pathology (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Autophagy in Disease and Therapy (2 papers), Photosynthetic Processes and Mechanisms (1 paper) and CRISPR and Genetic Engineering (1 paper). The work is most often cited by research in Aging (103 citations), Molecular Biology (881 citations), Cell Biology (183 citations), Immunology (182 citations) and Oncology (191 citations). John P. Wing has collaborated with scholars based in United States. Frequent co-authors include Edward M. Hedgecock, Wei He, Edward T. Kipreos, John R. Nambu, Arul M. Chinnaiyan, Peter Hudson, Hangjun Duan, Vishva M. Dixit, Lawrence M. Schwartz and Justyne L. Ogdahl. Their work appears in journals such as Nature Cell Biology, Cell, Current Biology, Journal of Biological Chemistry and Mechanisms of 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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