Ling Qiu

3.9k citations
204 papers · 2.8k · h-index 27

Impact in

Papers in

Ling Qiu

195 papers receiving 2.7k citations

Peers

Ling Qiu
Comparison fields: 5 of 149
  • Nephrology 316
  • Endocrinology, Diabetes and Metabolism 603
  • Pathology and Forensic Medicine 394
  • Statistics, Probability and Uncertainty 132
  • Cancer Research 269
Replace Elisa Danese with:
Elisa Danese Italy
J. G. Smith Sweden
Xinqi Cheng China
Amy K. Saenger United States
Daniel T. Holmes Canada
Jane Armitage United Kingdom
Hui Quan United States
Joseph P. McConnell United States
Eleanor Danielson United States
Abdurrahman Coşkun Türkiye
Ling Qiu relative to Elisa Danese Italy Elisa Danese's profile →
Citations per field
00.5×3.3×
Elisa Danese · 1×
Citations per year

Countries citing papers authored by Ling Qiu

Since Specialization
Citations

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

Fields of papers citing papers by Ling Qiu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 204 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012111
2 2013102
3 2015101
4 201286
5 201385
6 201775
7 201272
8 201667
9 201458
10 201850
11 201849
12 202041
13 201640
14 201438
15 201637
16 201336
17 201435
18 201634
19 201333
20 202232

About Ling Qiu

Ling Qiu is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Pathology and Forensic Medicine, Physiology and Surgery, having authored 204 papers that have together received 2.8k indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (27 papers), Vitamin D Research Studies (24 papers), Hormonal Regulation and Hypertension (21 papers), Metabolomics and Mass Spectrometry Studies (15 papers), Thyroid Cancer Diagnosis and Treatment (15 papers), Clinical Laboratory Practices and Quality Control (14 papers), Liver Disease Diagnosis and Treatment (11 papers) and Adrenal Hormones and Disorders (11 papers). The work is most often cited by research in Nephrology (316 citations), Endocrinology, Diabetes and Metabolism (603 citations), Pathology and Forensic Medicine (394 citations), Statistics, Probability and Uncertainty (132 citations) and Cancer Research (269 citations). Ling Qiu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Xinqi Cheng, Songlin Yu, Xuzhen Qin, Danchen Wang, Zhili Li, Liangyu Xia, Chaochao Ma, Jie Wu, Yicong Yin and Yutong Zou. Their work appears in journals such as Clinica Chimica Acta, Clinical Biochemistry, Clinical Chemistry and Laboratory Medicine (CCLM), Journal of Clinical Laboratory Analysis and BMC Public Health.

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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