Jin T. E. Lim

24 papers receiving 1.6k citations

Peers

Jin T. E. Lim
Comparison fields: 5 of 80
  • Pathology and Forensic Medicine 345
  • Biochemistry 124
  • Pharmacology 180
  • Hepatology 105
  • Oncology 183
Replace Atsuko Deguchi with:
Atsuko Deguchi Japan
Caterina Messa Italy
Kengo Matsunaga Japan
Roberta Venè Italy
Sylvie Lamy Canada
Xiaojing Wang China
Taher Abbasi United States
Yifu Yang China
Meng‐Shih Weng Taiwan
Peta E. Jackson United States
Jin T. E. Lim relative to Atsuko Deguchi Japan Atsuko Deguchi's profile →
Citations per field
00.5×1.5×2.1×
Atsuko Deguchi · 1×
Citations per year

Countries citing papers authored by Jin T. E. Lim

Since Specialization
Citations

This map shows the geographic impact of Jin T. E. 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 Jin T. E. Lim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin T. E. Lim more than expected).

Fields of papers citing papers by Jin T. E. Lim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005303
2 2002216
3 1999188
4
Epigallocatechin-3-gallate inhibits activation of HER-2/neu and downstream signaling pathways in human head and neck and breast carcinoma cells.
2003141
5
Growth inhibition of human hepatoma cells by acyclic retinoid is associated with induction of p21(CIP1) and inhibition of expression of cyclin D1.
2002115
6 200491
7 200588
8 199683
9 199874
10 199864
11 200439
12
Acyclic retinoid activates retinoic acid receptor beta and induces transcriptional activation of p21(CIP1) in HepG2 human hepatoma cells.
200436
13 200434
14 201629
15
Exisulind and related compounds inhibit expression and function of the androgen receptor in human prostate cancer cells.
200327
16 201626
17 200425
18 200625
19 202021
20 201720

About Jin T. E. Lim

Jin T. E. Lim is a scholar working on Hardware and Architecture, Information Systems, Artificial Intelligence, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine, having authored 24 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (6 papers), Security and Verification in Computing (6 papers), Retinoids in leukemia and cellular processes (5 papers), Parallel Computing and Optimization Techniques (4 papers), Prostate Cancer Treatment and Research (4 papers), Tea Polyphenols and Effects (3 papers), Inflammatory mediators and NSAID effects (2 papers) and Receptor Mechanisms and Signaling (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (345 citations), Biochemistry (124 citations), Pharmacology (180 citations), Hepatology (105 citations) and Oncology (183 citations). Jin T. E. Lim has collaborated with scholars based in United States and Japan. Frequent co-authors include I. Bernard Weinstein, Masumi Suzui, Muneyuki Masuda, Atsuko Deguchi, Masahito Shimizu, Hisataka Moriwaki, Levy Kopelovich, Jae‐Won Soh, MAHESH M. MANSUKHANI and Jason Nieh. Their work appears in journals such as Clinical Cancer Research, Breast Cancer Research and Treatment, Molecular Cancer Therapeutics, Analytical Biochemistry and The Prostate.

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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