Gi Won Shin

723 citations
46 papers · 540 · h-index 16

Impact in

Papers in

    • Advanced biosensing and bioanalysis techniques 8
    • Molecular Biology Techniques and Applications 8
    • RNA and protein synthesis mechanisms 5
    • Biosensors and Analytical Detection 8
    • Microfluidic and Capillary Electrophoresis Applications 6

Gi Won Shin

44 papers receiving 526 citations

Peers

Gi Won Shin
Comparison fields: 5 of 75
  • Endocrinology 22
  • Biomedical Engineering 180
  • Molecular Biology 250
  • Clinical Biochemistry 20
  • Aging 5
Replace Anupama Sinha with:
Anupama Sinha United States
Yue Xu China
Laura Maria Zanoli Italy
Thean‐Hock Tang Malaysia
Kate McInnerney United States
Yin Tan Singapore
Elisabete Fernandes Portugal
Ryan D. Kibler United States
Wenwen Xin China
Gi Won Shin relative to Anupama Sinha United States Anupama Sinha's profile →
Citations per field
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Citations per year

Countries citing papers authored by Gi Won Shin

Since Specialization
Citations

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

Fields of papers citing papers by Gi Won Shin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gi Won 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 Gi Won Shin. The network helps show where Gi Won Shin may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201739
2 202431
3 202428
4 201026
5 201026
6 200926
7 200924
8 200822
9 201220
10 201019
11 201219
12 202119
13 202418
14 201018
15 200917
16 200717
17 201714
18 201213
19 202112
20 201311

About Gi Won Shin

Gi Won Shin is a scholar working on Molecular Biology, Biomedical Engineering, Ecology, Electrical and Electronic Engineering and Pathology and Forensic Medicine, having authored 46 papers that have together received 540 indexed citations. Recurring topics across this work include Biosensors and Analytical Detection (8 papers), Advanced biosensing and bioanalysis techniques (8 papers), Molecular Biology Techniques and Applications (8 papers), Bacteriophages and microbial interactions (8 papers), Microfluidic and Capillary Electrophoresis Applications (6 papers), RNA and protein synthesis mechanisms (5 papers), Genetic factors in colorectal cancer (5 papers) and Cancer Genomics and Diagnostics (4 papers). The work is most often cited by research in Endocrinology (22 citations), Biomedical Engineering (180 citations), Molecular Biology (250 citations), Clinical Biochemistry (20 citations) and Aging (5 citations). Gi Won Shin has collaborated with scholars based in South Korea, United States and Australia. Frequent co-authors include Gyoo Yeol Jung, Hee Sung Hwang, Mi‐Hwa Oh, Taiho Park, HoJoon Lee, Hanlee P. Ji, Haeryang Lim, Yeun‐Jun Chung, Billy T. Lau and Junsang Doh. Their work appears in journals such as Electrophoresis, Advanced Energy Materials, Genome Medicine, Analytical Biochemistry and Scientific 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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