Guang-Ran Yang

767 citations
30 papers · 475 · h-index 10

Impact in

Papers in

Guang-Ran Yang

29 papers receiving 457 citations

Peers

Guang-Ran Yang
Comparison fields: 5 of 82
  • Endocrinology, Diabetes and Metabolism 111
  • Obstetrics and Gynecology 36
  • Physiology 68
  • Periodontics 10
  • Pharmacy 10
Replace A. Sämann with:
A. Sämann Germany
Syed G Rizvi Oman
Tomohide Yoshida Japan
Paola Valsania United States
Lois Jovanovič United States
Saleh Aldasouqi United States
Jiun‐Lu Lin Taiwan
Charlotte Baker United States
Vinod Menon United Kingdom
Alaaeldin A. Youssef United States
Guang-Ran Yang relative to A. Sämann Germany A. Sämann's profile →
Citations per field
00.5×
A. Sämann · 1×
Citations per year

Countries citing papers authored by Guang-Ran Yang

Since Specialization
Citations

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

Fields of papers citing papers by Guang-Ran Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010158
2 201467
3 201952
4 201532
5 201026
6 201421
7 201917
8 201511
9 20199
10 20169
11 20209
12 20198
13 20216
14 20226
15 20166
16 20225
17 20165
18 20194
19 20204
20 20224

About Guang-Ran Yang

Guang-Ran Yang is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Ophthalmology, Radiology, Nuclear Medicine and Imaging and Surgery, having authored 30 papers that have together received 475 indexed citations. Recurring topics across this work include Retinal Diseases and Treatments (4 papers), Diabetes Treatment and Management (3 papers), Thyroid Disorders and Treatments (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Diabetes Management and Research (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Retinopathy of Prematurity Studies (2 papers) and Gestational Diabetes Research and Management (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (111 citations), Obstetrics and Gynecology (36 citations), Physiology (68 citations), Periodontics (10 citations) and Pharmacy (10 citations). Guang-Ran Yang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Dongmei Li, Timothy Dye, Jin‐Kui Yang, Shen-Yuan Yuan, Yuling Li, Liangxiang Zhu, Gang Wan, Han-Jing Fu, Xueping Du and Yue Li. Their work appears in journals such as Diabetes Research and Clinical Practice, Endocrine Connections, Scientific Reports, Pediatric Research and Medicine.

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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