Ning Xia

30 papers receiving 577 citations

Peers

Ning Xia
Comparison fields: 5 of 98
  • Endocrinology, Diabetes and Metabolism 130
  • Nephrology 38
  • Orthopedics and Sports Medicine 43
  • Applied Psychology 19
  • Epidemiology 127
Replace Hironosuke Sakamoto with:
Hironosuke Sakamoto Japan
Guoping Wang China
Jiangfeng Mao China
Haide Qin China
Andy Lee United States
Miho Suzuki Japan
Janet Y. Lee United States
Agnes Eijsbouts Netherlands
Ning Xia relative to Hironosuke Sakamoto Japan Hironosuke Sakamoto's profile →
Citations per field
00.5×8.4×
Hironosuke Sakamoto · 1×
Citations per year

Countries citing papers authored by Ning Xia

Since Specialization
Citations

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

Fields of papers citing papers by Ning Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201998
2 201196
3 201938
4 202031
5 201928
6 201928
7 202024
8 201922
9 202022
10 201718
11 202118
12 201518
13 201018
14 201717
15 201616
16 201713
17 202210
18
Efficacy and safety of down-titration versus continuation strategies of biological disease-modifying anti-rheumatic drugs in patients with rheumatoid arthritis with low disease activity or in remission: a systematic review and meta-analysis.
201710
19 20249
20 20249

About Ning Xia

Ning Xia is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Epidemiology, Oncology and Molecular Biology, having authored 31 papers that have together received 588 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (5 papers), Pancreatic and Hepatic Oncology Research (5 papers), Chronic Kidney Disease and Diabetes (5 papers), Pancreatitis Pathology and Treatment (4 papers), Diabetes Treatment and Management (4 papers), Metabolism, Diabetes, and Cancer (4 papers), Colorectal Cancer Surgical Treatments (3 papers) and Acute Kidney Injury Research (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (130 citations), Nephrology (38 citations), Orthopedics and Sports Medicine (43 citations), Applied Psychology (19 citations) and Epidemiology (127 citations). Ning Xia has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Zhen Chen, Yufeng Wen, Yuzhen Liang, Aihua Tan, Zengnan Mo, Tao Peng, Xiaobo Yang, Yong Gao, Linjian Mo and Haiying Zhang. Their work appears in journals such as Diabetes Metabolic Syndrome and Obesity, Frontiers in Endocrinology, Scientific Reports, Nutrition and Diabetes and Obesity Facts.

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.

Explore authors with similar magnitude of impact