Ling Qiu

4.1k citations
207 papers · 2.9k · h-index 27

Impact in

Papers in

Ling Qiu

199 papers receiving 2.9k citations

Peers

Ling Qiu
Comparison fields: 5 of 139
  • Nephrology 277
  • Endocrinology, Diabetes and Metabolism 506
  • Pathology and Forensic Medicine 293
  • Cancer Research 211
  • Physiology 289
Replace Elisa Danese with:
Elisa Danese Italy
Amy K. Saenger United States
Christina Ellervik Denmark
Sail Chun South Korea
Paul F. Williams Australia
Anne Vassault France
Xinqi Cheng China
Patrick Rossignol France
Joseph P. McConnell United States
Stefan K. Grebe United States
Ling Qiu relative to Elisa Danese Italy Elisa Danese's profile →
Citations per field
00.5×3.8×
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 207 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012114
2 2013105
3 2015102
4 201290
5 201389
6 201784
7 201274
8 201670
9 201461
10 201854
11 201850
12 201441
13 201641
14 202041
15 201640
16 202238
17 201438
18 201337
19 201636
20 201735

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 207 papers that have together received 2.9k indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (23 papers), Hormonal Regulation and Hypertension (18 papers), Vitamin D Research Studies (17 papers), Metabolomics and Mass Spectrometry Studies (9 papers), Clinical Laboratory Practices and Quality Control (9 papers), Hormonal and reproductive studies (8 papers), Adrenal and Paraganglionic Tumors (8 papers) and Adrenal Hormones and Disorders (7 papers). The work is most often cited by research in Nephrology (277 citations), Endocrinology, Diabetes and Metabolism (506 citations), Pathology and Forensic Medicine (293 citations), Cancer Research (211 citations) and Physiology (289 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, Chaochao Ma, Liangyu Xia, 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), BMC Public Health and Journal of Clinical Laboratory Analysis.

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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