John Greenlee

3.1k citations
82 papers · 1.8k · h-index 26

Impact in

  • Neurology top 1%
    • Autoimmune Neurological Disorders and Treatments
    • Peripheral Neuropathies and Disorders
    • Myasthenia Gravis and Thymoma
    • Genetic Neurodegenerative Diseases
    • Neuroscience and Neuropharmacology Research

Papers in

    • Autoimmune Neurological Disorders and Treatments 34
    • Peripheral Neuropathies and Disorders 9
    • Polyomavirus and related diseases 20

John Greenlee

79 papers receiving 1.7k citations

Peers

John Greenlee
Comparison fields: 5 of 95
  • Neurology 993
  • Cellular and Molecular Neuroscience 485
  • Microbiology 104
  • Oncology 265
  • Epidemiology 309
Replace Leslie D. Cahan with:
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Citations per field
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Citations per year

Countries citing papers authored by John Greenlee

Since Specialization
Citations

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

Fields of papers citing papers by John Greenlee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1983253
2 199390
3 199576
4 198674
5 201069
6 200368
7 199058
8 199554
9 199341
10 198839
11 197539
12 201538
13 197337
14 200936
15 201435
16 201335
17 201035
18
Autoantibodies to neuronal glutamate receptors in patients with paraneoplastic neurodegenerative syndrome enhance receptor activation.
199533
19 198932
20 201632

About John Greenlee

John Greenlee is a scholar working on Neurology, Oncology, Molecular Biology, Cellular and Molecular Neuroscience and Epidemiology, having authored 82 papers that have together received 1.8k indexed citations. Recurring topics across this work include Autoimmune Neurological Disorders and Treatments (34 papers), Polyomavirus and related diseases (20 papers), Viral Infections and Immunology Research (9 papers), Neuroscience and Neuropharmacology Research (9 papers), Genetic Neurodegenerative Diseases (9 papers), Peripheral Neuropathies and Disorders (9 papers), RNA regulation and disease (8 papers) and Cytomegalovirus and herpesvirus research (8 papers). The work is most often cited by research in Neurology (993 citations), Cellular and Molecular Neuroscience (485 citations), Microbiology (104 citations), Oncology (265 citations) and Epidemiology (309 citations). John Greenlee has collaborated with scholars based in United States, Norway and Japan. Frequent co-authors include H. Robert Brashear, Kurt A. Jaeckle, Susan Clawson, John Rose, Noel G. Carlson, Howard L. Lipton, Kenneth E. Hill, Thomas N. Parks, Stacey Clardy and Ikuo Tsunoda. Their work appears in journals such as Neurology, Annals of Neurology, Neurology Neuroimmunology & Neuroinflammation, Current Treatment Options in Neurology and Journal of Neuropathology & Experimental Neurology.

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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