Xuling Chang

21 papers receiving 253 citations

Peers

Xuling Chang
Comparison fields: 5 of 57
  • Aging 11
  • Physiology 79
  • Clinical Biochemistry 12
  • Endocrinology, Diabetes and Metabolism 27
  • Nutrition and Dietetics 26
Replace Meicen Zhou with:
Meicen Zhou China
Stephanie C. Bridgeman Australia
Valérie Turcot Canada
Lukáš Zlatohlávek Czechia
Eva Ringdal Pedersen Norway
Zhenzhen Fu China
Erica Gonzalez United States
Yoshiki Tsuboi Japan
Camilla Skoglund-Andersson Sweden
Hannes Manell Sweden
Xuling Chang relative to Meicen Zhou China Meicen Zhou's profile →
Citations per field
00.5×2.9×
Meicen Zhou · 1×
Citations per year

Countries citing papers authored by Xuling Chang

Since Specialization
Citations

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

Fields of papers citing papers by Xuling Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201557
2 201946
3 202026
4 202122
5 202221
6 201515
7 201814
8 20169
9 20208
10 20238
11 20226
12 20216
13 20225
14 20203
15 20252
16 20222
17 20242
18 20172
19 20242
20
Investigation on the core competency of residents during Coronavirus disease 2019 outbreak
20211

About Xuling Chang

Xuling Chang is a scholar working on Genetics, Epidemiology, Physiology, Infectious Diseases and Endocrinology, Diabetes and Metabolism, having authored 23 papers that have together received 258 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (5 papers), Telomeres, Telomerase, and Senescence (3 papers), Tuberculosis Research and Epidemiology (2 papers), Obesity, Physical Activity, Diet (1 paper), Fatty Acid Research and Health (1 paper), Nutrition, Genetics, and Disease (1 paper), Mycobacterium research and diagnosis (1 paper) and Diet, Metabolism, and Disease (1 paper). The work is most often cited by research in Aging (11 citations), Physiology (79 citations), Clinical Biochemistry (12 citations), Endocrinology, Diabetes and Metabolism (27 citations) and Nutrition and Dietetics (26 citations). Xuling Chang has collaborated with scholars based in Singapore, United States and Australia. Frequent co-authors include Chew‐Kiat Heng, Rajkumar Dorajoo, Chiea Chuen Khor, Woon‐Puay Koh, Jianjun Liu, Jian‐Min Yuan, Yechiel Friedlander, Rob M. van Dam, Choon Nam Ong and Yi Han. Their work appears in journals such as Nature Communications, Atherosclerosis, Nutrition Journal, The Journals of Gerontology Series A and Nutrition Metabolism and Cardiovascular Diseases.

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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