Ha Yeong Kim

583 citations
26 papers · 456 · h-index 12

Impact in

  • Genetics top 10%
    • Mesenchymal stem cell research
    • Electrospun Nanofibers in Biomedical Applications

Papers in

    • Thyroid and Parathyroid Surgery 4
    • Tissue Engineering and Regenerative Medicine 3
    • Congenital heart defects research 2
    • Connective Tissue Growth Factor Research 2

Ha Yeong Kim

25 papers receiving 450 citations

Peers

Ha Yeong Kim
Comparison fields: 5 of 69
  • Genetics 116
  • Biomaterials 67
  • Surgery 147
  • Urology 20
  • Nephrology 22
Replace Feng Rao with:
Feng Rao China
Allison I. Hoch United States
Ning Kang China
Naznin Akhtar Bangladesh
Jihee Sohn United States
Martin Textor Germany
Francesca Posa Italy
Aiju Lou China
Fabian Langenbach Germany
Yin‐Chih Fu Taiwan
Ha Yeong Kim relative to Feng Rao China Feng Rao's profile →
Citations per field
00.5×10×13×
Feng Rao · 1×
Citations per year

Countries citing papers authored by Ha Yeong Kim

Since Specialization
Citations

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

Fields of papers citing papers by Ha Yeong Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ha Yeong 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 Ha Yeong Kim. The network helps show where Ha Yeong Kim may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201674
2 201559
3 201454
4 201945
5 201630
6 201725
7 201820
8 201919
9 201615
10 202214
11 201814
12 201812
13 201611
14 201911
15 20179
16 20169
17 20198
18 20207
19 20215
20 20224

About Ha Yeong Kim

Ha Yeong Kim is a scholar working on Surgery, Molecular Biology, Genetics, Nephrology and Genetics, having authored 26 papers that have together received 456 indexed citations. Recurring topics across this work include Genetic Syndromes and Imprinting (5 papers), Parathyroid Disorders and Treatments (5 papers), Thyroid and Parathyroid Surgery (4 papers), Mesenchymal stem cell research (4 papers), Electrospun Nanofibers in Biomedical Applications (3 papers), Tissue Engineering and Regenerative Medicine (3 papers), Congenital heart defects research (2 papers) and Connective Tissue Growth Factor Research (2 papers). The work is most often cited by research in Genetics (116 citations), Biomaterials (67 citations), Surgery (147 citations), Urology (20 citations) and Nephrology (22 citations). Ha Yeong Kim has collaborated with scholars based in South Korea and United States. Frequent co-authors include Han Su Kim, Inho Jo, Yeonsil Yu, Yoon Shin Park, Soo Yeon Jung, Yoon Jin, Sung‐Chul Jung, Hae Sang Park, Kyung‐Ha Ryu and Sang Jin Lee. Their work appears in journals such as The Laryngoscope, PLoS ONE, Scientific Reports, Biomedicines and Biochemical and Biophysical Research Communications.

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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