Gek-Kee Sim

1000 citations
15 papers · 844 · h-index 12

Impact in

  • Immunology top 5%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Immune Response and Inflammation
    • CRISPR and Genetic Engineering
    • Viral Infectious Diseases and Gene Expression in Insects

Papers in

    • T-cell and B-cell Immunology 9
    • Immune Cell Function and Interaction 7
    • Immunotherapy and Immune Responses 3
    • Immune Response and Inflammation 2
    • Immunodeficiency and Autoimmune Disorders 1
    • Animal Genetics and Reproduction 4

Gek-Kee Sim

15 papers receiving 801 citations

Peers

Gek-Kee Sim
Comparison fields: 5 of 78
  • Immunology 411
  • Molecular Biology 355
  • Genetics 137
  • Immunology and Allergy 18
  • Infectious Diseases 55
Replace Tyler Parr with:
Tyler Parr United States
S Gamble United States
Steven E. Applequist Sweden
Michael D. Eisenbraun United States
Friedrich Krätzer Germany
Linda M. Karavodin United States
Sungae Cho South Korea
Christoph Schaefer Germany
Jack H. Stimpfling United States
Jean Lindenmann Switzerland
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Citations per field
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Citations per year

Countries citing papers authored by Gek-Kee Sim

Since Specialization
Citations

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

Fields of papers citing papers by Gek-Kee Sim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gek-Kee Sim. 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 Gek-Kee Sim. The network helps show where Gek-Kee Sim may publish in the future.

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 1989227
2 1980197
3 197990
4 199558
5
Transformation of mammalian cells with genes from prokaryotes and eukaryotes. 1979.
199249
6 199445
7 199638
8 199536
9 199036
10 199121
11 198320
12 199914
13 197811
14 19901
15 20001

About Gek-Kee Sim

Gek-Kee Sim is a scholar working on Immunology, Genetics, Molecular Biology, Oncology and Epidemiology, having authored 15 papers that have together received 844 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (9 papers), Immune Cell Function and Interaction (7 papers), Animal Genetics and Reproduction (4 papers), Immunotherapy and Immune Responses (3 papers), Immune Response and Inflammation (2 papers), Molecular Biology Techniques and Applications (2 papers), Artificial Immune Systems Applications (1 paper) and Immunodeficiency and Autoimmune Disorders (1 paper). The work is most often cited by research in Immunology (411 citations), Molecular Biology (355 citations), Genetics (137 citations), Immunology and Allergy (18 citations) and Infectious Diseases (55 citations). Gek-Kee Sim has collaborated with scholars based in United States, Switzerland and Croatia. Frequent co-authors include Andrei Augustin, Ralph T. Kubo, Saul J. Silverstein, Richard Axel, Àngel Pellicer, Israel Lowy, James F. Jackson, Tom Maniatis, Fotis C. Kafatos and Argiris Efstratiadis. Their work appears in journals such as Cell, The Journal of Immunology, Cold Spring Harbor Symposia on Quantitative Biology, Nature and International Immunology.

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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