Semi Lim

614 citations
18 papers · 502 · h-index 11

Impact in

    • Ubiquitin and proteasome pathways
    • Genomics, phytochemicals, and oxidative stress
    • RNA modifications and cancer
    • Histone Deacetylase Inhibitors Research
    • RNA and protein synthesis mechanisms

Papers in

    • Ubiquitin and proteasome pathways 3
    • Heat shock proteins research 3
    • Genomics, phytochemicals, and oxidative stress 2
    • Natural product bioactivities and synthesis 2
    • Peptidase Inhibition and Analysis 3

Semi Lim

15 papers receiving 494 citations

Peers

Semi Lim
Comparison fields: 5 of 79
  • Geriatrics and Gerontology 16
  • Molecular Biology 347
  • Cancer Research 57
  • Pharmacology 33
  • Biochemistry 23
Replace Jen‐Jie Lin with:
Jen‐Jie Lin Taiwan
Munju Cho South Korea
Ha‐Yong Yoon South Korea
Susana Sánchez‐Tena Spain
Chao Lin China
Biaoyan Du China
Huey-Lan Huang Taiwan
Youra Kang South Korea
Kangdong Liu China
Xuefeng Wu China
Semi Lim relative to Jen‐Jie Lin Taiwan Jen‐Jie Lin's profile →
Citations per field
00.5×1.5×2.3×
Jen‐Jie Lin · 1×
Citations per year

Countries citing papers authored by Semi Lim

Since Specialization
Citations

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

Fields of papers citing papers by Semi Lim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2013111
2 201389
3 201271
4 201646
5 201939
6 201339
7 201929
8 202020
9 201517
10 201515
11 202012
12 20207
13 20214
14 20242
15 20211
16 20190
17 20200
18 20220

About Semi Lim

Semi Lim is a scholar working on Molecular Biology, Oncology, Computational Theory and Mathematics, Pharmacology and Cell Biology, having authored 18 papers that have together received 502 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (3 papers), Heat shock proteins research (3 papers), Computational Drug Discovery Methods (3 papers), Peptidase Inhibition and Analysis (3 papers), Diverse Approaches in Healthcare and Education Studies (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Genomics, phytochemicals, and oxidative stress (2 papers) and Natural product bioactivities and synthesis (2 papers). The work is most often cited by research in Geriatrics and Gerontology (16 citations), Molecular Biology (347 citations), Cancer Research (57 citations), Pharmacology (33 citations) and Biochemistry (23 citations). Semi Lim has collaborated with scholars based in South Korea, United States and Switzerland. Frequent co-authors include Ki Won Lee, Sanguine Byun, Lee Farrand, Zigang Dong, Hyong Joo Lee, Sung‐Hoon Kim, Dae Gyu Kim, Ann M. Bode, Ji‐Man Park and Eunjung Lee. Their work appears in journals such as Journal of Medicinal Chemistry, Cancer Research, Journal of Biological Chemistry, Clinical Cancer Research and Nature Chemical Biology.

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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