Minsub Shim

970 citations
23 papers · 820 · h-index 15

Impact in

    • GDF15 and Related Biomarkers
  • Immunology top 10%
    • Macrophage Migration Inhibitory Factor
    • interferon and immune responses

Papers in

Minsub Shim

23 papers receiving 805 citations

Peers

Minsub Shim
Comparison fields: 5 of 88
  • Rheumatology 190
  • Immunology 198
  • Cancer Research 90
  • Molecular Biology 366
  • Physiology 125
Replace Marı́a J. López-Zabalza with:
Marı́a J. López-Zabalza Spain
Mark F. Lawson United Kingdom
Mineko Tsuruoka Japan
Kamala Sundararaj United States
Evan Boetticher United States
Yu Hou China
Victor Mautner Germany
Virginie Millet France
Melanie Weisser Germany
Langhai Xu China
Minsub Shim relative to Marı́a J. López-Zabalza Spain Marı́a J. López-Zabalza's profile →
Citations per field
00.5×1.5×2.1×
Marı́a J. López-Zabalza · 1×
Citations per year

Countries citing papers authored by Minsub Shim

Since Specialization
Citations

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

Fields of papers citing papers by Minsub Shim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999130
2 2006105
3 200590
4 200571
5 200670
6
Diminished expression of C/EBPalpha in skin carcinomas is linked to oncogenic Ras and reexpression of C/EBPalpha in carcinoma cells inhibits proliferation.
200552
7 200346
8 200545
9 201635
10 201933
11 201727
12 200821
13 201019
14 200917
15 201116
16 201611
17 20148
18 20227
19 20156
20 20245

About Minsub Shim

Minsub Shim is a scholar working on Molecular Biology, Rheumatology, Pharmacology, Oncology and Immunology, having authored 23 papers that have together received 820 indexed citations. Recurring topics across this work include GDF15 and Related Biomarkers (7 papers), Inflammatory mediators and NSAID effects (5 papers), Cancer-related Molecular Pathways (3 papers), Nuclear Receptors and Signaling (3 papers), Cancer-related gene regulation (3 papers), Estrogen and related hormone effects (3 papers), NF-κB Signaling Pathways (3 papers) and Ubiquitin and proteasome pathways (2 papers). The work is most often cited by research in Rheumatology (190 citations), Immunology (198 citations), Cancer Research (90 citations), Molecular Biology (366 citations) and Physiology (125 citations). Minsub Shim has collaborated with scholars based in United States, South Korea and Norway. Frequent co-authors include Thomas E. Eling, Robert C. Smart, Songyun Zhu, Seung Joon Baek, Chang Ho Lee, Peter F. Johnson, Esta Sterneck, Vivek Vaish, Ioulia Chatzistamou and Mingxiao Feng. Their work appears in journals such as Journal of Biological Chemistry, The Prostate, Biomolecules & Therapeutics, Oxidative Medicine and Cellular Longevity and Genes Chromosomes and Cancer.

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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