John C. Meadows

4.2k citations
62 papers · 3.4k · h-index 32

Impact in

Papers in

John C. Meadows

60 papers receiving 3.0k citations

Peers

John C. Meadows
Comparison fields: 5 of 157
  • Health, Toxicology and Mutagenesis 720
  • Cognitive Neuroscience 1.0k
  • Cell Biology 630
  • Neurology 389
  • Pollution 269
Replace Xuming Xu with:
Xuming Xu China
David J. Simon United States
Randy Joseph Kulesza United States
Dai Zhang China
Kazuo Itoh Japan
Laura K. Fonken United States
Paola Lenzi Italy
Yi Wei Jiang China
W. Lang Germany
Antonio Caputi Italy
John C. Meadows relative to Xuming Xu China Xuming Xu's profile →
Citations per field
00.5×2×3×4.2×
Xuming Xu · 1×
Citations per year

Countries citing papers authored by John C. Meadows

Since Specialization
Citations

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

Fields of papers citing papers by John C. Meadows

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1974485
2 1974340
3 2012230
4 2000135
5 2011130
6 1995114
7 1973109
8 2005107
9 1979101
10 1976100
11 197094
12 199882
13 196981
14 199672
15 199771
16 196971
17 199558
18 196957
19 196955
20 196751

About John C. Meadows

John C. Meadows is a scholar working on Health, Toxicology and Mutagenesis, Cell Biology, Neurology, Cellular and Molecular Neuroscience and Pollution, having authored 62 papers that have together received 3.4k indexed citations. Recurring topics across this work include Toxic Organic Pollutants Impact (14 papers), Microtubule and mitosis dynamics (14 papers), Effects and risks of endocrine disrupting chemicals (8 papers), Ubiquitin and proteasome pathways (6 papers), Environmental Toxicology and Ecotoxicology (6 papers), Genomics and Chromatin Dynamics (5 papers), Neurological disorders and treatments (4 papers) and Plant nutrient uptake and metabolism (4 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (720 citations), Cognitive Neuroscience (1.0k citations), Cell Biology (630 citations), Neurology (389 citations) and Pollution (269 citations). John C. Meadows has collaborated with scholars based in United Kingdom, United States and Ghana. Frequent co-authors include C. DAVID MARSDEN, Jonathan B. A. Millar, Donald E. Tillitt, GERTRUDE LANGE, Robert W. Gale, C. D. Marsden, Theresa C. Lancaster, Kathy R. Echols, Kevin Hardwick and Graham J. Buttrick. Their work appears in journals such as Environmental Toxicology and Chemistry, Journal of Neurology Neurosurgery & Psychiatry, Journal of the Neurological Sciences, Environmental Science & Technology and Brain.

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.

Explore authors with similar magnitude of impact