Shangling Wu

472 citations
16 papers · 347 indexed · h-index 8

Impact in

Papers in

Shangling Wu

16 papers receiving 342 citations

Peers

Shangling Wu
Comparison fields: 5 of 69
  • Physiology 159
  • Biological Psychiatry 12
  • Epidemiology 124
  • Nutrition and Dietetics 48
  • Endocrinology, Diabetes and Metabolism 49
Replace Femke P. M. Hoevenaars with:
Femke P. M. Hoevenaars Netherlands
Luis Macías‐Kauffer Mexico
In Seok Lee South Korea
Isabel Megías-Rangil Spain
Rodrigo Martins Pereira Brazil
Hans van Eijk Netherlands
Shireen Mohammad United Kingdom
Fiona C. Malcomson United Kingdom
Xuying Tan China
José Israel León-Pedroza Mexico
Shangling Wu relative to Femke P. M. Hoevenaars Netherlands Femke P. M. Hoevenaars's profile →
Citations per field
00.5×
Femke P. M. Hoevenaars · 1×
Citations per year

Countries citing papers authored by Shangling Wu

Since Specialization
Citations

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

Fields of papers citing papers by Shangling Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2019166
2 202040
3 201932
4 202123
5 201715
6 202112
7 202211
8 202310
9 20207
10 20227
11 20236
12 20176
13 20205
14 20224
15 20222
16 20241

About Shangling Wu

Shangling Wu is a scholar working on Public Health, Environmental and Occupational Health, Physiology, Pharmacy, Nutrition and Dietetics and Hematology, having authored 16 papers that have together received 347 indexed citations. Recurring topics across this work include Nutritional Studies and Diet (9 papers), Nutrition and Health in Aging (4 papers), Obesity, Physical Activity, Diet (3 papers), Diet and metabolism studies (3 papers), Iron Metabolism and Disorders (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Folate and B Vitamins Research (2 papers) and Consumer Attitudes and Food Labeling (2 papers). The work is most often cited by research in Physiology (159 citations), Biological Psychiatry (12 citations), Epidemiology (124 citations), Nutrition and Dietetics (48 citations) and Endocrinology, Diabetes and Metabolism (49 citations). Shangling Wu has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Huilian Zhu, Gong‐Cheng Liao, Chunlei Li, Jing‐An Long, Xuying Tan, Aiping Fang, Wenhua Ling, Si Chen, Yan Liu and Lijun Wang. Their work appears in journals such as Food & Function, European Journal of Nutrition, Journal of the Academy of Nutrition and Dietetics, Nutrients and The Journal of Clinical Endocrinology & Metabolism.

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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