George Thom

1.1k citations
26 papers · 871 · h-index 15

Impact in

Papers in

    • Monoclonal and Polyclonal Antibodies Research 10
    • RNA and protein synthesis mechanisms 8
    • RNA modifications and cancer 5
    • RNA Interference and Gene Delivery 4
    • RNA Research and Splicing 4
    • Glycosylation and Glycoproteins Research 3
    • CRISPR and Genetic Engineering 2

George Thom

25 papers receiving 826 citations

Peers

George Thom
Comparison fields: 5 of 82
  • Neurology 124
  • Radiology, Nuclear Medicine and Imaging 210
  • Molecular Biology 497
  • Physiology 29
  • Immunology 123
Replace Wilma Lau with:
Wilma Lau Switzerland
Robert C. Wells United States
Hiroyuki Sonoda Japan
Yumiko Azuma Japan
Piroska Elizabeth Rakoczy Australia
Nardos G. Tassew Canada
Brigitte Thillaye-Goldenberg France
Sook Hyun Chung Australia
Jeomil Bae South Korea
Hiroshi Mamada Japan
George Thom relative to Wilma Lau Switzerland Wilma Lau's profile →
Citations per field
00.5×2×2.6×
Wilma Lau · 1×
Citations per year

Countries citing papers authored by George Thom

Since Specialization
Citations

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

Fields of papers citing papers by George Thom

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001126
2 201384
3 201881
4 201670
5 200666
6 201863
7 201653
8 202245
9 201941
10 201040
11 201136
12 201735
13 201835
14 200324
15 199716
16 199615
17 202410
18 20118
19 19956
20 20125

About George Thom

George Thom is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology, Immunology, Neurology and Cellular and Molecular Neuroscience, having authored 26 papers that have together received 871 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (10 papers), RNA and protein synthesis mechanisms (8 papers), RNA modifications and cancer (5 papers), RNA Interference and Gene Delivery (4 papers), RNA Research and Splicing (4 papers), Glycosylation and Glycoproteins Research (3 papers), CRISPR and Genetic Engineering (2 papers) and Pain Mechanisms and Treatments (2 papers). The work is most often cited by research in Neurology (124 citations), Radiology, Nuclear Medicine and Imaging (210 citations), Molecular Biology (497 citations), Physiology (29 citations) and Immunology (123 citations). George Thom has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Carl I. Webster, Nicola Minshall, Nancy Standart, Matthew R. Burrell, Danica B Stanimirovic, Arsalan S. Haqqani, Eric Brunette, Ian K. Gurrell, Jon P. Hatcher and Stefan Lundquist. Their work appears in journals such as mAbs, Pain, Nature Communications, Molecular Therapy and npj Vaccines.

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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