Patricia Gee

959 citations
17 papers · 562 · h-index 13

Impact in

Papers in

    • Protein Structure and Dynamics 2
    • RNA and protein synthesis mechanisms 2
    • RNA modifications and cancer 2
    • Glycosylation and Glycoproteins Research 1
    • Cellular transport and secretion 4

Patricia Gee

17 papers receiving 553 citations

Peers

Patricia Gee
Comparison fields: 5 of 81
  • Cell Biology 137
  • Molecular Medicine 34
  • Cellular and Molecular Neuroscience 97
  • Molecular Biology 364
  • Aging 7
Replace Tatsuya Fukasawa with:
Tatsuya Fukasawa Japan
Julie S. Valastyan United States
Laura Di Francesco Italy
Sungho Shin South Korea
Hans A. Fuernkranz United States
Scott M. Holt United States
Maria Alba Sorolla Spain
Kamela O. Alegre United Kingdom
M. Christine Bruce Canada
Yolanda Auchli Switzerland
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Citations per field
00.5×4.2×
Tatsuya Fukasawa · 1×
Citations per year

Countries citing papers authored by Patricia Gee

Since Specialization
Citations

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

Fields of papers citing papers by Patricia Gee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 199465
2 199762
3 200360
4 199460
5 199257
6 201150
7 202139
8 200434
9 199328
10 200325
11 199222
12 202016
13 202316
14 20188
15 20228
16 19927
17 19715

About Patricia Gee

Patricia Gee is a scholar working on Molecular Biology, Cell Biology, Genetics, Biochemistry and Materials Chemistry, having authored 17 papers that have together received 562 indexed citations. Recurring topics across this work include Cellular transport and secretion (4 papers), Protein Structure and Dynamics (2 papers), RNA and protein synthesis mechanisms (2 papers), Enzyme Structure and Function (2 papers), Bacterial Genetics and Biotechnology (2 papers), RNA modifications and cancer (2 papers), Genetics and Neurodevelopmental Disorders (1 paper) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Cell Biology (137 citations), Molecular Medicine (34 citations), Cellular and Molecular Neuroscience (97 citations), Molecular Biology (364 citations) and Aging (7 citations). Patricia Gee has collaborated with scholars based in United States, United Kingdom and Austria. Frequent co-authors include Claudia Kent, Ruth Hogue Angeletti, Zhaohui Xu, Daniel Peisach, G. Serck‐Hanssen, Andrea Laslop, Reiner Fischer‐Colbrie, Hans Winkler, Ruth Hogue‐Angeletti and Rudolf Kirchmair. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications, Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics, Brain Research and mBio.

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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