Hani Jieun Kim

882 citations
23 papers · 441 indexed · h-index 12
  • Biophysics top 5%
    • Cell Image Analysis Techniques 5
    • Single-cell and spatial transcriptomics 10
    • Gene expression and cancer classification 6
    • Gene Regulatory Network Analysis 5
    • Metabolomics and Mass Spectrometry Studies 3
    • Extracellular vesicles in disease 2
    • Pluripotent Stem Cells Research 2
    • Advanced Proteomics Techniques and Applications 3

Hani Jieun Kim

18 papers receiving 436 citations

Peers

Hani Jieun Kim
Comparison fields: 5 of 78
  • Biophysics 64
  • Molecular Biology 341
  • Cancer Research 57
  • Transplantation 9
  • Neurology 24
Replace Cameron G. Williams with:
Cameron G. Williams Australia
Takahiro Asatsuma Australia
Sophie Tritschler Germany
Sanjid Shahriar United States
Junyun Cheng China
Aleksandra A. Petelski United States
Michelle Y. Y. Lee United States
Sabrina Richter Germany
Rosalie Rietjens Netherlands
Tae Jun Lee United States
Hani Jieun Kim relative to Cameron G. Williams Australia Cameron G. Williams's profile →
Citations per field
00.5×10×15×18×
Cameron G. Williams · 1×
Citations per year

Countries citing papers authored by Hani Jieun Kim

Since Specialization
Citations

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

Fields of papers citing papers by Hani Jieun Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 202416
4 202428
5 202333
6 202342
7 202312
8 20224
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10 202111
11 20214
12 202112
13 202116
14 202112
15 202161
16 202062
17 202088
18 20200
19 201920
20 201911

About Hani Jieun Kim

Hani Jieun Kim is a scholar working on Biophysics, Aging and Transplantation, having authored 23 papers that have together received 441 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (10 papers), Gene expression and cancer classification (6 papers), Gene Regulatory Network Analysis (5 papers), Cell Image Analysis Techniques (5 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Advanced Proteomics Techniques and Applications (3 papers), Extracellular vesicles in disease (2 papers) and Pluripotent Stem Cells Research (2 papers). The work is most often cited by research in Biophysics (64 citations), Molecular Biology (341 citations) and Cancer Research (57 citations). Hani Jieun Kim has collaborated with scholars based in Australia, China and United States. Frequent co-authors include Pengyi Yang, Jean Yang, Yingxin Lin, Thomas A. Geddes, Tai-Yun Kim, Di Xiao, David Lin, Yue Cao, Terence P. Speed and Agus Salim. Their work appears in journals such as Nucleic Acids Research, Nature Medicine and Bioinformatics.

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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