Suping Ling

727 citations
21 papers · 524 · h-index 8

Impact in

Papers in

Suping Ling

20 papers receiving 506 citations

Peers

Suping Ling
Comparison fields: 5 of 64
  • Endocrinology, Diabetes and Metabolism 130
  • Cardiology and Cardiovascular Medicine 123
  • Oncology 91
  • Drug Discovery 1
  • Molecular Biology 150
Replace Jennifer Dolgoff with:
Jennifer Dolgoff United States
Samantha K. Williams United States
Martina Iovine Italy
Min Jung Ko South Korea
Douglas Chee Singapore
Takuji Kishimoto Japan
Ioannis L. Matsoukis Greece
Henk R. Franke Netherlands
P.M. Burger Netherlands
Nikolaos D. Goutas Greece
Suping Ling relative to Jennifer Dolgoff United States Jennifer Dolgoff's profile →
Citations per field
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Citations per year

Countries citing papers authored by Suping Ling

Since Specialization
Citations

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

Fields of papers citing papers by Suping Ling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020176
2 2019128
3 202055
4 202341
5 202029
6 202127
7 202024
8 202010
9 20227
10 20226
11 20236
12 20233
13 20253
14 20232
15 20252
16 20201
17 20201
18 20231
19 20251
20 20251

About Suping Ling

Suping Ling is a scholar working on Endocrinology, Diabetes and Metabolism, Oncology, Molecular Biology, Geriatrics and Gerontology and Physical Therapy, Sports Therapy and Rehabilitation, having authored 21 papers that have together received 524 indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (8 papers), Diabetes Treatment and Management (5 papers), Global Cancer Incidence and Screening (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Diabetes Management and Research (2 papers), Down syndrome and intellectual disability research (1 paper), Cancer, Hypoxia, and Metabolism (1 paper) and Economic and Financial Impacts of Cancer (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (130 citations), Cardiology and Cardiovascular Medicine (123 citations), Oncology (91 citations), Drug Discovery (1 citation) and Molecular Biology (150 citations). Suping Ling has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include Kamlesh Khunti, Francesco Zaccardi, Melanie Jane Davies, Karen Brown, Eyad Issa, Thomas E. Yates, Amy Morrison, Lynne M. Howells, Joanne K. Miksza and Claire Alexandra Lawson. Their work appears in journals such as Diabetes Care, Diabetes Obesity and Metabolism, Diabetologia, BMC Cancer and Journal of Diabetes Investigation.

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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