John Shanks

1.7k citations
24 papers · 1.3k indexed · h-index 16

Impact in

    • Microtubule and mitosis dynamics
    • Endoplasmic Reticulum Stress and Disease
    • Ubiquitin and proteasome pathways
    • Photosynthetic Processes and Mechanisms
    • Prion Diseases and Protein Misfolding

Papers in

    • Photosynthetic Processes and Mechanisms 8
    • Ubiquitin and proteasome pathways 5
    • Prion Diseases and Protein Misfolding 4
    • Glycosylation and Glycoproteins Research 2
    • Microtubule and mitosis dynamics 12
    • Endoplasmic Reticulum Stress and Disease 4

John Shanks

23 papers receiving 1.3k citations

Peers

John Shanks
Comparison fields: 5 of 101
  • Cell Biology 442
  • Molecular Biology 1.0k
  • Oncology 244
  • Neurology 68
  • Toxicology 18
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John Shanks relative to Seema Dalal United States Seema Dalal's profile →
Citations per field
00.5×2.8×
Seema Dalal · 1×
Citations per year

Countries citing papers authored by John Shanks

Since Specialization
Citations

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

Fields of papers citing papers by John Shanks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998296
2 1996117
3 2008117
4 2008115
5 200396
6 201592
7 200891
8 201171
9 200946
10 201741
11 199041
12 198934
13 198626
14 201425
15 199522
16 198817
17 198513
18 198512
19 19908
20 19987

About John Shanks

John Shanks is a scholar working on Molecular Biology, Cell Biology, Oncology, Physiology and Neurology, having authored 24 papers that have together received 1.3k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (12 papers), Photosynthetic Processes and Mechanisms (8 papers), Ubiquitin and proteasome pathways (5 papers), Endoplasmic Reticulum Stress and Disease (4 papers), Prion Diseases and Protein Misfolding (4 papers), Alzheimer's disease research and treatments (2 papers), Glycosylation and Glycoproteins Research (2 papers) and Neurological diseases and metabolism (2 papers). The work is most often cited by research in Cell Biology (442 citations), Molecular Biology (1.0k citations), Oncology (244 citations), Neurology (68 citations) and Toxicology (18 citations). John Shanks has collaborated with scholars based in United States, Russia and Canada. Frequent co-authors include Michael Caplow, Keith D. Wilkinson, Francisca E. Reyes‐Turcu, John A. Petros, Keqiang Ye, Judith A. Kapp, Harish C. Joshi, Nagalakshmi Keshava, Yong Ke and Rajeshwar R. Tekmal. Their work appears in journals such as Journal of Biological Chemistry, Biochemistry, Molecular Biology of the Cell, Infection and Immunity and Cell Reports.

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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