Junling Tang

1.3k citations
54 papers · 1.1k · h-index 18

Impact in

Papers in

Junling Tang

50 papers receiving 1.1k citations

Peers

Junling Tang
Comparison fields: 5 of 79
  • Endocrinology, Diabetes and Metabolism 361
  • Orthopedics and Sports Medicine 158
  • Clinical Biochemistry 70
  • Obstetrics and Gynecology 131
  • Nephrology 43
Replace Zoe A. Efstathiadou with:
Zoe A. Efstathiadou Greece
Yasuro Kumeda Japan
Ji Hu China
Cevdet Duran Türkiye
Pedro Rozas-Moreno Spain
Seung Joo Chon South Korea
Akiyo Tanabe Japan
Süleyman Hilmi İpekçi Türkiye
Geert J. M. Boerma Netherlands
Shoichiro Izawa Japan
Junling Tang relative to Zoe A. Efstathiadou Greece Zoe A. Efstathiadou's profile →
Citations per field
00.5×5×10×14×
Zoe A. Efstathiadou · 1×
Citations per year

Countries citing papers authored by Junling Tang

Since Specialization
Citations

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

Fields of papers citing papers by Junling Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006172
2 2009168
3 201757
4 201854
5 201045
6 201043
7 201243
8 201339
9 201332
10 201031
11 201029
12 200928
13 201825
14 201223
15 201621
16
Relationship of plasma creatinine and lactic acid in type 2 diabetic patients without renal dysfunction.
200920
17 201420
18 201419
19 201517
20 201917

About Junling Tang

Junling Tang is a scholar working on Endocrinology, Diabetes and Metabolism, Clinical Biochemistry, Physiology, Orthopedics and Sports Medicine and Obstetrics and Gynecology, having authored 54 papers that have together received 1.1k indexed citations. Recurring topics across this work include Diabetes Management and Research (12 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (11 papers), Advanced Glycation End Products research (8 papers), Bone health and osteoporosis research (5 papers), Clinical Laboratory Practices and Quality Control (4 papers), Gestational Diabetes Research and Management (4 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers) and Diabetes Treatment and Management (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (361 citations), Orthopedics and Sports Medicine (158 citations), Clinical Biochemistry (70 citations), Obstetrics and Gynecology (131 citations) and Nephrology (43 citations). Junling Tang has collaborated with scholars based in China. Frequent co-authors include Weiping Jia, Yuqian Bao, Huijuan Lu, Xiaojing Ma, Mi Zhou, Xiaoping Pan, Kun‐san Xiang, Xuhong Hou, Jiemin Pan and Jian Zhou. Their work appears in journals such as Clinical and Experimental Pharmacology and Physiology, Acta Pharmacologica Sinica, Diabetes Technology & Therapeutics, PLoS ONE and Genes & Diseases.

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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