Yang Wen-ying

423 total citations
9 papers, 329 citations indexed

About

Yang Wen-ying is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Surgery. According to data from OpenAlex, Yang Wen-ying has authored 9 papers receiving a total of 329 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Endocrinology, Diabetes and Metabolism, 3 papers in Molecular Biology and 2 papers in Surgery. Recurrent topics in Yang Wen-ying's work include Diabetes Treatment and Management (6 papers), Diabetes Management and Research (6 papers) and Metabolism, Diabetes, and Cancer (3 papers). Yang Wen-ying is often cited by papers focused on Diabetes Treatment and Management (6 papers), Diabetes Management and Research (6 papers) and Metabolism, Diabetes, and Cancer (3 papers). Yang Wen-ying collaborates with scholars based in China, Japan and Italy. Yang Wen-ying's co-authors include Janusz Gumprecht, P. Valensi, Ryuzo Kawamori, Vito Borzı̀, Robert J. Ligthelm, Philip Home, Guillermo González-Gálvez, Wei Li, Jialin Yang and Jianhua Ma and has published in prestigious journals such as Diabetes Obesity and Metabolism, Diabetes Research and Clinical Practice and Clinical Therapeutics.

In The Last Decade

Yang Wen-ying

9 papers receiving 320 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Yang Wen-ying China	5	230	53	40	38	26	9	329
Ole Molskov Bech Denmark	10	247 1.1×	82 1.5×	57 1.4×	27 0.7×	28 1.1×	16	402
А. В. Зилов Russia	8	185 0.8×	72 1.4×	53 1.3×	18 0.5×	23 0.9×	35	325
Mads Faurby Denmark	8	164 0.7×	73 1.4×	48 1.2×	14 0.4×	28 1.1×	31	282
Chunshen Pan United States	11	282 1.2×	43 0.8×	33 0.8×	31 0.8×	15 0.6×	20	328
Domenico Mannino Italy	12	187 0.8×	58 1.1×	108 2.7×	23 0.6×	18 0.7×	23	406
V. Baskar United Kingdom	7	191 0.8×	62 1.2×	58 1.4×	58 1.5×	22 0.8×	20	286
Samiul Mostafa United Kingdom	14	317 1.4×	83 1.6×	36 0.9×	39 1.0×	12 0.5×	28	442
Margaret Tiktin United States	6	336 1.5×	86 1.6×	64 1.6×	37 1.0×	27 1.0×	7	480
Sergio Jansen‐Chaparro Spain	9	179 0.8×	42 0.8×	55 1.4×	67 1.8×	13 0.5×	13	332
Ip Tim Lau China	7	203 0.9×	34 0.6×	28 0.7×	30 0.8×	8 0.3×	11	253

Countries citing papers authored by Yang Wen-ying

Since Specialization

Citations

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

Fields of papers citing papers by Yang Wen-ying

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yang Wen-ying. 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 Yang Wen-ying. The network helps show where Yang Wen-ying may publish in the future.

Co-authorship network of co-authors of Yang Wen-ying

This figure shows the co-authorship network connecting the top 25 collaborators of Yang Wen-ying. A scholar is included among the top collaborators of Yang Wen-ying based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yang Wen-ying. Yang Wen-ying is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

1.

Shuai, Ying, Gangyi Yang, Qiu Zhang, et al.. (2020). Efficacy and safety of polyethylene glycol loxenatide monotherapy in type 2 diabetes patients: A multicentre, randomized, double‐blind, placebo‐controlled phase 3a clinical trial. Diabetes Obesity and Metabolism. 23(1). 116–124. 21 indexed citations

2.

Xing, Xiaoyan Xiaoyan, Na Wang, et al.. (2014). Evaluation of the Efficacy and Safety of Once Daily Injection of Glargine Combined with Glipizide GITS in the Treatment of Type 2 Diabetes Mellitus. 2 indexed citations

3.

Valensi, P., Marian Benroubi, Ryuzo Kawamori, et al.. (2013). Predictors of achieving HbA_1c <7% and no hypoglycaemia 6 months after initiation of biphasic insulin aspart 30 in patients with type 2 diabetes in the IMPROVE study. Current Medical Research and Opinion. 29(6). 601–609. 8 indexed citations

4.

Borzı̀, Vito, Marian Benroubi, Janusz Gumprecht, et al.. (2012). Predictors of postprandial blood glucose response to biphasic insulin analogue therapy. Primary care diabetes. 7(1). 63–67. 1 indexed citations

5.

Home, Philip, et al.. (2011). An observational non-interventional study of people with diabetes beginning or changed to insulin analogue therapy in non-Western countries: The A1chieve study. Diabetes Research and Clinical Practice. 94(3). 352–363. 122 indexed citations

6.

Wen-ying, Yang, et al.. (2008). Do free fatty acids induce insulin resistance in alpha cells?. 2(1). 19–23. 4 indexed citations

7.

Ligthelm, Robert J., Vito Borzı̀, Janusz Gumprecht, et al.. (2007). Importance of Observational Studies in Clinical Practice. Clinical Therapeutics. 29(6). 1284–1292. 138 indexed citations

8.

Wen-ying, Yang. (2001). The preventive effect of Acarbose and Metformin on the IGT population from becoming diabetes mellitus: a 3-year multicentral prospective study. Zhonghua neifenmi daixie zazhi. 32 indexed citations

9.

Wen-ying, Yang. (1999). Role of nitric oxide on diabetic nephropathy. 1 indexed citations

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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