Deying Liu

30 papers receiving 889 citations

Deying Liu's Hit Papers

Calorie Restriction with or without Time-Restricted Eating in Weight Loss 2022 · 322 citations
3220+1+2Years since publication100200300

Peers

Deying Liu
Comparison fields: 5 of 92
  • Endocrine and Autonomic Systems 109
  • Geriatrics and Gerontology 48
  • Physiology 336
  • Aging 15
  • Cancer Research 66
Replace Paúl Cordero with:
Paúl Cordero United Kingdom
Kirsten Hartil United States
Jingyu Zhao China
Maria Mavilio Italy
Stéphane Cauchi France
Terrie‐Anne Cock Australia
Adnan Erol Türkiye
Francine Einstein United States
Jenny Palming Sweden
Naomi Hosogai Japan
Deying Liu relative to Paúl Cordero United Kingdom Paúl Cordero's profile →
Citations per field
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Citations per year

Countries citing papers authored by Deying Liu

Since Specialization
Citations

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

Fields of papers citing papers by Deying Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Calorie Restriction with or without Time-Restricted Eating in Weight Loss
Hit paper breakdown →
2022322
2 2017228
3 202377
4 202126
5 202126
6 202319
7 201419
8 202217
9 201716
10 202315
11 201915
12 201913
13 202212
14 202211
15 20239
16 20169
17 20217
18 20187
19 20217
20 20226

About Deying Liu

Deying Liu is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Physiology, Surgery and Pulmonary and Respiratory Medicine, having authored 33 papers that have together received 897 indexed citations. Recurring topics across this work include Dietary Effects on Health (4 papers), Kawasaki Disease and Coronary Complications (3 papers), Hormonal and reproductive studies (2 papers), S100 Proteins and Annexins (2 papers), Vasculitis and related conditions (2 papers), Renal and related cancers (2 papers), Diet and metabolism studies (2 papers) and Plant Water Relations and Carbon Dynamics (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (109 citations), Geriatrics and Gerontology (48 citations), Physiology (336 citations), Aging (15 citations) and Cancer Research (66 citations). Deying Liu has collaborated with scholars based in China and United States. Frequent co-authors include Huijie Zhang, Jiayang Lin, Chensihan Huang, Bingyan Xu, Peizhen Zhang, Xueyun Wei, Huilin Niu, Guifang Zhu, Yangwei Xu and Jiahui Xu. Their work appears in journals such as BMC Immunology, The Journal of Clinical Endocrinology & Metabolism, Journal of the American Heart Association, Frontiers in Endocrinology and 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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