Sharon Lim

3.9k citations
29 papers · 2.9k indexed · 1 hit paper · h-index 25

Sharon Lim

29 papers receiving 2.9k citations

Hit Papers

Brown-fat-mediated tumour suppression by cold-altered glo...14820222026202320244080120

Peers

Sharon Lim
Comparison fields: 5 of 117
  • Cancer Research 837
  • Physiology 878
  • Oncology 712
  • Rehabilitation 162
  • Molecular Biology 1.3k
Replace Tae‐Hwa Chun with:
Tae‐Hwa Chun Japan
Tara L. Haas Canada
Sophie Giorgetti‐Peraldi France
Dick Wågsäter Sweden
Jeff S. Isenberg United States
Alessia Angelin United States
Reid Huber United States
Elisabeth Dernbach Germany
Masamichi Koyanagi Japan
Xiaowei Zheng Sweden
Sharon Lim relative to Tae‐Hwa Chun Japan Tae‐Hwa Chun's profile →
Citations per field
00.5×5.5×
Tae‐Hwa Chun · 1×
Citations per year

Countries citing papers authored by Sharon Lim

Since Specialization
Citations

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

Fields of papers citing papers by Sharon Lim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1
Brown-fat-mediated tumour suppression by cold-altered global metabolismbreakdown →
2022148
2 20225
3 2018236
4 201766
5 201752
6 201683
7 201686
8 201415
9 2014145
10 201429
11 2013178
12 201393
13 2012172
14 2011169
15 201168
16 201062
17 200924
18 2009299
19 2008124
20 200731

About Sharon Lim

Sharon Lim is a scholar working on Cancer Research, Oncology, Physiology, Cardiology and Cardiovascular Medicine and Molecular Biology, having authored 29 papers that have together received 2.9k indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (15 papers), Cancer, Hypoxia, and Metabolism (12 papers), Adipose Tissue and Metabolism (9 papers), Cardiovascular Disease and Adiposity (7 papers), Cancer Cells and Metastasis (7 papers), Adipokines, Inflammation, and Metabolic Diseases (5 papers), Lymphatic System and Diseases (4 papers) and Fibroblast Growth Factor Research (3 papers). The work is most often cited by research in Cancer Research (837 citations), Physiology (878 citations), Oncology (712 citations), Rehabilitation (162 citations) and Molecular Biology (1.3k citations). Sharon Lim has collaborated with scholars based in Sweden, China and United Kingdom. Frequent co-authors include Yihai Cao, Kayoko Hosaka, Yunlong Yang, Takahiro Seki, Renhai Cao, Ola Larsson, Hideki Iwamoto, Jennifer Honek, Xiaojuan Yang and Yin Zhang. Their work appears in journals such as Nature Communications, Proceedings of the National Academy of Sciences, Cell Metabolism, Nature Protocols and Clinical Cancer Research.

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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