Shang‐Ling Pan

2.3k citations
89 papers · 1.8k indexed · h-index 24

Impact in

Papers in

Shang‐Ling Pan

88 papers receiving 1.8k citations

Peers

Shang‐Ling Pan
Comparison fields: 5 of 119
  • Endocrinology, Diabetes and Metabolism 402
  • Cancer Research 360
  • Genetics 477
  • Cardiology and Cardiovascular Medicine 294
  • Surgery 458
Replace Rector Arya with:
Rector Arya United States
Jussi Naukkarinen Finland
Stéphane Cauchi France
Stefan Coassin Austria
Gina M. Peloso United States
Noël P. Burtt United States
Kathryn L. Penney United States
Jinrui Cui United States
Xueling Sim Singapore
Andrew G. Demaine United Kingdom
Shang‐Ling Pan relative to Rector Arya United States Rector Arya's profile →
Citations per field
00.5×6.7×
Rector Arya · 1×
Citations per year

Countries citing papers authored by Shang‐Ling Pan

Since Specialization
Citations

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

Fields of papers citing papers by Shang‐Ling Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shang‐Ling Pan. 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 Shang‐Ling Pan. The network helps show where Shang‐Ling Pan may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014114
2 2017103
3 200793
4 200887
5 202067
6 200766
7 200659
8 200947
9 201145
10 200844
11 200842
12 201039
13 201437
14 200831
15 201830
16 201830
17 200228
18 201627
19 201227
20 200626

About Shang‐Ling Pan

Shang‐Ling Pan is a scholar working on Endocrinology, Diabetes and Metabolism, Cancer Research, Cardiology and Cardiovascular Medicine, Genetics and Surgery, having authored 89 papers that have together received 1.8k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (27 papers), Lipoproteins and Cardiovascular Health (19 papers), Peroxisome Proliferator-Activated Receptors (12 papers), Lipid metabolism and disorders (12 papers), Genetic Associations and Epidemiology (11 papers), Cholesterol and Lipid Metabolism (11 papers), Cancer-related molecular mechanisms research (10 papers) and Cancer, Lipids, and Metabolism (9 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (402 citations), Cancer Research (360 citations), Genetics (477 citations), Cardiology and Cardiovascular Medicine (294 citations) and Surgery (458 citations). Shang‐Ling Pan has collaborated with scholars based in China, United States and Vietnam. Frequent co-authors include Rui‐Xing Yin, Yang Dezhai, Jin‐Zhen Wu, Weixiong Lin, Lin Weixiong, Lynn Htet Htet Aung, Dong‐Feng Wu, Chen Yu-ming, Feng Huang and Chengwu Liu. Their work appears in journals such as Lipids in Health and Disease, Scientific Reports, Journal of Investigative Medicine, Journal of Cellular and Molecular Medicine and Public Health Nutrition.

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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