Fei-Ling Lim

1.7k citations
30 papers · 1.4k indexed · h-index 20

Impact in

Papers in

    • Genomics and Chromatin Dynamics 3
    • Retinoids in leukemia and cellular processes 2
    • Dermatology and Skin Diseases 4
    • Skin Protection and Aging 3

Fei-Ling Lim

29 papers receiving 1.3k citations

Peers

Fei-Ling Lim
Comparison fields: 5 of 117
  • Health, Toxicology and Mutagenesis 153
  • Urology 63
  • Aging 17
  • Molecular Biology 638
  • Dermatology 79
Replace Ken‐ichi Takeyama with:
Ken‐ichi Takeyama Japan
M. Isabel Arenas Spain
R.B. Westerberg Sweden
Mayuko Y. Kumasaka Japan
Edgar Rivedal Norway
Ulla Simanainen Australia
Cheng Cao China
Erika Rosivatz United Kingdom
Miao Yu China
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Citations per field
00.5×1.5×1.8×
Ken‐ichi Takeyama · 1×
Citations per year

Countries citing papers authored by Fei-Ling Lim

Since Specialization
Citations

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

Fields of papers citing papers by Fei-Ling Lim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014163
2 2000121
3 1998116
4 200487
5 201684
6 200984
7 200883
8 200577
9 200468
10 201258
11 200455
12 200553
13 201538
14 200835
15 200632
16 200627
17 201127
18 200826
19 200325
20 200624

About Fei-Ling Lim

Fei-Ling Lim is a scholar working on Molecular Biology, Dermatology, Immunology, Epidemiology and Physiology, having authored 30 papers that have together received 1.4k indexed citations. Recurring topics across this work include Dermatology and Skin Diseases (4 papers), Estrogen and related hormone effects (4 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers), Skin Protection and Aging (3 papers), Genomics and Chromatin Dynamics (3 papers), Adipose Tissue and Metabolism (3 papers), Biochemical Analysis and Sensing Techniques (2 papers) and Retinoids in leukemia and cellular processes (2 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (153 citations), Urology (63 citations), Aging (17 citations), Molecular Biology (638 citations) and Dermatology (79 citations). Fei-Ling Lim has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Jonathan G. Moggs, Dawn J. Mazzatti, George M. Orphanides, Paul Trayhurn, Stephanie M. Johnson, Antoni R. Slabas, Marc R. Knight, Ian Kimber, David Moore and Aliza Finkler. Their work appears in journals such as Environmental Health Perspectives, British Journal of Dermatology, Mechanisms of Ageing and Development, Molecular and Cellular Endocrinology and Journal of the American Academy of Dermatology.

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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