Yun‐Ji Shin

656 citations
20 papers · 486 indexed · h-index 14
    • Transgenic Plants and Applications 17
    • Plant tissue culture and regeneration 9
    • Viral Infectious Diseases and Gene Expression in Insects 7
    • CRISPR and Genetic Engineering 5
    • Glycosylation and Glycoproteins Research 4
    • Toxin Mechanisms and Immunotoxins 2
    • Endoplasmic Reticulum Stress and Disease 4
    • Animal Genetics and Reproduction 2

Yun‐Ji Shin

20 papers receiving 473 citations

Peers

Yun‐Ji Shin
Comparison fields: 5 of 49
  • Biotechnology 379
  • Molecular Biology 414
  • Immunology 118
  • Plant Science 69
  • Cell Biology 24
Replace Juliana Parsons with:
Juliana Parsons Germany
Jakub Jeż Austria
Catherine J. Marsden United Kingdom
Someet Narang United States
Alessio Lombardi Italy
Jin Su United States
Steven Geysens Belgium
Somanath Kallolimath Austria
Giuliana Catara Italy
John L. Macomber United States
Yun‐Ji Shin relative to Juliana Parsons Germany Juliana Parsons's profile →
Citations per field
00.5×1.5×1.8×
Juliana Parsons · 1×
Citations per year

Countries citing papers authored by Yun‐Ji Shin

Since Specialization
Citations

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

Fields of papers citing papers by Yun‐Ji Shin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yun‐Ji Shin. 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 Yun‐Ji Shin. The network helps show where Yun‐Ji Shin may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20243
3 20241
4 202212
5 202144
6 20217
7 201913
8 201819
9 201723
10 201714
11 201627
12 201647
13 201143
14 201026
15 201012
16 201016
17 200814
18 200832
19 200715
20 2003117

About Yun‐Ji Shin

Yun‐Ji Shin is a scholar working on Biotechnology, Molecular Biology and Cell Biology, having authored 20 papers that have together received 486 indexed citations. Recurring topics across this work include Transgenic Plants and Applications (17 papers), Plant tissue culture and regeneration (9 papers), Viral Infectious Diseases and Gene Expression in Insects (7 papers), CRISPR and Genetic Engineering (5 papers), Glycosylation and Glycoproteins Research (4 papers), Endoplasmic Reticulum Stress and Disease (4 papers), Toxin Mechanisms and Immunotoxins (2 papers) and Animal Genetics and Reproduction (2 papers). The work is most often cited by research in Biotechnology (379 citations), Molecular Biology (414 citations) and Immunology (118 citations). Yun‐Ji Shin has collaborated with scholars based in South Korea, Austria and South Africa. Frequent co-authors include Taeho Kwon, Moon‐Sik Yang, Yong‐Suk Jang, Shin‐Young Hong, Ulrike Vavra, Richard Strasser, Nan-Sun Kim, Christiane Veit, Tae-Geum Kim and Clemens Grünwald‐Gruber. Their work appears in journals such as Journal of Biological Chemistry, PLANT PHYSIOLOGY and The Plant Journal.

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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