Xiyue Jing

875 citations
13 papers · 582 indexed · 1 hit paper · h-index 9

Xiyue Jing

13 papers receiving 572 citations

Hit Papers

Association between Systemic Immunity-Inflammation Index ...154202320262024202550100150

Peers

Xiyue Jing
Comparison fields: 5 of 88
  • Endocrinology, Diabetes and Metabolism 188
  • Epidemiology 148
  • Pathology and Forensic Medicine 72
  • Oncology 92
  • Nephrology 22
Replace Manoj Chadha with:
Manoj Chadha India
Satyajeet Roy United States
Dominic J. Cirillo United States
Iain Turnbull United Kingdom
Arti D. Shah United States
Tsann Lin Taiwan
Jee‐Jeon Yi South Korea
Eric M. Ammann United States
Kyu Rae Lee South Korea
Sohyun Chun South Korea
Xiyue Jing relative to Manoj Chadha India Manoj Chadha's profile →
Citations per field
00.5×2.5×
Manoj Chadha · 1×
Citations per year

Countries citing papers authored by Xiyue Jing

Since Specialization
Citations

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

Fields of papers citing papers by Xiyue Jing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

13 of 13 papers shown
#Work
1
Association between Systemic Immunity-Inflammation Index and Hyperlipidemia: A Population-Based Study from the NHANES (2015–2020)breakdown →
2023154
2 20212
3 202014
4 20198
5 201939
6 20196
7 2018222
8 201866
9 20178
10 20172
11 20178
12 20175
13
Association between serum C-reactive protein value and prognosis of patients with non-small cell lung cancer: a meta-analysis.
201548

About Xiyue Jing

Xiyue Jing is a scholar working on Endocrinology, Diabetes and Metabolism, Finance and Nutrition and Dietetics, having authored 13 papers that have together received 582 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Diabetes Management and Education (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Inflammatory Biomarkers in Disease Prognosis (2 papers), Organ Donation and Transplantation (2 papers), Healthcare Systems and Reforms (2 papers), Grief, Bereavement, and Mental Health (2 papers) and Healthcare Policy and Management (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (188 citations), Epidemiology (148 citations) and Pathology and Forensic Medicine (72 citations). Xiyue Jing has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Zhuang Cui, Jiageng Chen, Changping Li, Jun Ma, Yuanyuan Liu, Yuanyuan Liu, Changping Li, Xuying Wang, Fei Gao and Yanan Dong. Their work appears in journals such as PLoS ONE, Nutrients and Transplantation.

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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