Ji-Young Kim

1000 citations
39 papers · 810 · h-index 17

Impact in

    • Hippo pathway signaling and YAP/TAZ
    • melanin and skin pigmentation
  • Biochemistry top 10%
    • Phytochemicals and Antioxidant Activities

Papers in

Ji-Young Kim

38 papers receiving 772 citations

Peers

Ji-Young Kim
Comparison fields: 5 of 102
  • Cell Biology 281
  • Biochemistry 49
  • Insect Science 85
  • Molecular Biology 346
  • Biotechnology 44
Replace Jun‐Young Park with:
Jun‐Young Park South Korea
Ying Wei China
Celia van Gelder Netherlands
Alina Uifălean Romania
Yong‐Tae Kim South Korea
Jana Vičanová Netherlands
Park South Korea
Hongtan Wu China
Evandro Fioretti Italy
Ji-Young Kim relative to Jun‐Young Park South Korea Jun‐Young Park's profile →
Citations per field
00.5×4.3×
Jun‐Young Park · 1×
Citations per year

Countries citing papers authored by Ji-Young Kim

Since Specialization
Citations

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

Fields of papers citing papers by Ji-Young Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ji-Young Kim. 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 Ji-Young Kim. The network helps show where Ji-Young Kim may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016138
2 201168
3 202161
4 201052
5 202041
6 201438
7
Production of monoclonal antibody against Listeria monocytogenes and its application to immunochromatography strip test.
200738
8 200836
9 201732
10 201228
11 200925
12 201424
13 201823
14 200822
15
Inhibitory effect of dalbergioidin isolated from the trunk of Lespedeza cyrtobotrya on melanin biosynthesis.
200822
16 201819
17 201516
18 201515
19 201213
20 201413

About Ji-Young Kim

Ji-Young Kim is a scholar working on Cell Biology, Molecular Biology, Nutrition and Dietetics, Biotechnology and Insect Science, having authored 39 papers that have together received 810 indexed citations. Recurring topics across this work include melanin and skin pigmentation (10 papers), Biochemical Analysis and Sensing Techniques (7 papers), Phytochemicals and Antioxidant Activities (5 papers), Insect Utilization and Effects (4 papers), Hippo pathway signaling and YAP/TAZ (4 papers), Skin Protection and Aging (4 papers), Listeria monocytogenes in Food Safety (3 papers) and Ubiquitin and proteasome pathways (2 papers). The work is most often cited by research in Cell Biology (281 citations), Biochemistry (49 citations), Insect Science (85 citations), Molecular Biology (346 citations) and Biotechnology (44 citations). Ji-Young Kim has collaborated with scholars based in South Korea, Russia and Switzerland. Frequent co-authors include Eek‐hoon Jho, Eun‐Young Yun, Vladimir L. Katanaev, Yonghee Song, Wantae Kim, Youngeun Kim, Minseong Kim, Sungho Moon, Boksik Cha and Hanjun Kim. Their work appears in journals such as EMBO Reports, Biochemical Journal, Toxicology Reports, Biochimica et Biophysica Acta (BBA) - Molecular Cell Research and The Journal of General and Applied Microbiology.

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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