Do Young Lim

2.6k citations
45 papers · 1.9k · h-index 25

Impact in

    • Phytochemicals and Antioxidant Activities
    • Pharmacological Effects of Natural Compounds
    • Flavonoids in Medical Research

Papers in

    • PI3K/AKT/mTOR signaling in cancer 6
    • Renal and related cancers 3
    • Cancer-related Molecular Pathways 8

Do Young Lim

43 papers receiving 1.9k citations

Peers

Do Young Lim
Comparison fields: 5 of 93
  • Biochemistry 146
  • Pharmacology 196
  • Molecular Medicine 98
  • Applied Microbiology and Biotechnology 28
  • Molecular Biology 972
Replace Hanyong Chen with:
Hanyong Chen United States
Rita Ghosh United States
Eun‐Ryeong Hahm United States
Mun-Ock Kim South Korea
Hongzhong Li China
Gopalakrishnan Ramakrishnan India
Sivanandhan Dhanalakshmi United States
Kirti S. Prabhu Qatar
Lenka Koklesová Slovakia
Ming‐Ju Hsieh Taiwan
Do Young Lim relative to Hanyong Chen United States Hanyong Chen's profile →
Citations per field
00.5×1.5×
Hanyong Chen · 1×
Citations per year

Countries citing papers authored by Do Young Lim

Since Specialization
Citations

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

Fields of papers citing papers by Do Young Lim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021190
2 2006159
3 2014101
4 201494
5 200593
6 199186
7 200981
8 201176
9 201276
10 201370
11 201755
12 200952
13 200550
14 201250
15 200948
16 200948
17 201447
18 201446
19 201646
20 201340

About Do Young Lim

Do Young Lim is a scholar working on Molecular Biology, Oncology, Immunology, Cancer Research and Pharmacology, having authored 45 papers that have together received 1.9k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (8 papers), PI3K/AKT/mTOR signaling in cancer (6 papers), Cancer, Lipids, and Metabolism (4 papers), Pharmacological Effects of Natural Compounds (4 papers), Renal and related cancers (3 papers), interferon and immune responses (3 papers), Reproductive System and Pregnancy (3 papers) and Flavonoids in Medical Research (3 papers). The work is most often cited by research in Biochemistry (146 citations), Pharmacology (196 citations), Molecular Medicine (98 citations), Applied Microbiology and Biotechnology (28 citations) and Molecular Biology (972 citations). Do Young Lim has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include Jung Han Yoon Park, Zigang Dong, Ann M. Bode, Jung H.Y. Park, Angela L. Tyner, Hanyong Chen, Ki Won Lee, Yoonhwa Jeong, Jae In Jung and Han‐Jin Cho. Their work appears in journals such as Cancer Prevention Research, Carcinogenesis, Cancer Research, Molecular Carcinogenesis and BMC Gastroenterology.

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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