Eun‐Hee Shim

1.3k citations
17 papers · 736 · h-index 10

Impact in

    • Ubiquitin and proteasome pathways
    • Heat shock proteins research
    • Protein Degradation and Inhibitors
    • Mitochondrial Function and Pathology

Papers in

    • Epigenetics and DNA Methylation 3
    • Ubiquitin and proteasome pathways 3
    • Heat shock proteins research 2
    • Asthma and respiratory diseases 2
    • Diet and metabolism studies 2

Eun‐Hee Shim

17 papers receiving 728 citations

Peers

Eun‐Hee Shim
Comparison fields: 5 of 76
  • Aging 16
  • Molecular Biology 590
  • Cell Biology 126
  • Cancer Research 109
  • Oncology 156
Replace Mark R. Woodford with:
Mark R. Woodford United States
Joël Walicki Switzerland
Manjula Agarwal United States
Karen Bunting United States
Thomas Krimmer Germany
Takayuki Kawakami Japan
Sumiko Kaneda Japan
Ian R. Logan United Kingdom
J.J. Keusch Switzerland
J. Michael Younger United States
Eun‐Hee Shim relative to Mark R. Woodford United States Mark R. Woodford's profile →
Citations per field
00.5×10×15×19.5×
Mark R. Woodford · 1×
Citations per year

Countries citing papers authored by Eun‐Hee Shim

Since Specialization
Citations

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

Fields of papers citing papers by Eun‐Hee Shim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eun‐Hee Shim. 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 Eun‐Hee Shim. The network helps show where Eun‐Hee Shim may publish in the future.

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2002252
2
Expression of the F-box protein SKP2 induces hyperplasia, dysplasia, and low-grade carcinoma in the mouse prostate.
200395
3 199687
4 200278
5 201559
6 201448
7 202026
8 201423
9 201515
10 201514
11 19969
12 20209
13 20128
14 20107
15 20143
16 20152
17 20081

About Eun‐Hee Shim

Eun‐Hee Shim is a scholar working on Molecular Biology, Physiology, Oncology, Epidemiology and Cancer Research, having authored 17 papers that have together received 736 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Cancer-related Molecular Pathways (3 papers), Ubiquitin and proteasome pathways (3 papers), Hemoglobinopathies and Related Disorders (2 papers), Asthma and respiratory diseases (2 papers), Heat shock proteins research (2 papers) and Diet and metabolism studies (2 papers). The work is most often cited by research in Aging (16 citations), Molecular Biology (590 citations), Cell Biology (126 citations), Cancer Research (109 citations) and Oncology (156 citations). Eun‐Hee Shim has collaborated with scholars based in United States, South Korea and Australia. Frequent co-authors include Hui Zhang, Hong Sun, Karin Lykke‐Hartmann, Xiaoming Yang, Jennifer M. Harrell, Ning Wei, Jian‐Yu Zheng, Ryûji Kobayashi, Sunil Sudarshan and Jong‐Il Kim. Their work appears in journals such as The Journal of Cell Biology, Disease Models & Mechanisms, Journal of Investigative Dermatology, Molecular Cell and EMBO 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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