Xiang-Dong You

2.5k citations
8 papers · 1.7k indexed · 1 hit paper · h-index 5

Xiang-Dong You

8 papers receiving 1.7k citations

Hit Papers

Hyperglycemia: An Independent Marker of In-Hospital Morta...1.5k200220262010201850010001.5k

Peers

Xiang-Dong You
Comparison fields: 5 of 87
  • Endocrinology, Diabetes and Metabolism 1.5k
  • Genetics 369
  • Cardiology and Cardiovascular Medicine 262
  • Epidemiology 388
  • Surgery 194
Replace L. Thaler with:
L. Thaler United States
Titia M. Vriesendorp Netherlands
David Tak Wai Lui Hong Kong
M Hurley Ireland
Roma Gianchandani United States
Iwan CC van der Horst Netherlands
Elisabeth Knudsen Denmark
M. Rodier France
P. C. Y. Tong Hong Kong
Adam M. Frank United States
Xiang-Dong You relative to L. Thaler United States L. Thaler's profile →
Citations per field
00.5×1.5×1.8×
L. Thaler · 1×
Citations per year

Countries citing papers authored by Xiang-Dong You

Since Specialization
Citations

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

Fields of papers citing papers by Xiang-Dong You

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiang-Dong You. 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 Xiang-Dong You. The network helps show where Xiang-Dong You may publish in the future.

Co-authorship network

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

All Works

8 of 8 papers shown
#Work
1 20214
2 20196
3 2018167
4 20152
5 201417
6 20134
7
[The epidemiological study on human immunodeficiency virus infection among paid blood donors living in Shandong provincial China Comprehensive Response Project Areas].
20053
8
Hyperglycemia: An Independent Marker of In-Hospital Mortality in Patients with Undiagnosed Diabetesbreakdown →
20021537

About Xiang-Dong You

Xiang-Dong You is a scholar working on Endocrinology, Diabetes and Metabolism, Management of Technology and Innovation and Complementary and alternative medicine, having authored 8 papers that have together received 1.7k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Lipoproteins and Cardiovascular Health (2 papers), Blood donation and transfusion practices (1 paper), Neurological diseases and metabolism (1 paper), HIV/AIDS Research and Interventions (1 paper), Microbial Metabolism and Applications (1 paper), Ubiquitin and proteasome pathways (1 paper) and Pharmacological Effects of Natural Compounds (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.5k citations), Genetics (369 citations) and Cardiology and Cardiovascular Medicine (262 citations). Xiang-Dong You has collaborated with scholars based in China and United States. Frequent co-authors include Guillermo E. Umpierrez, Scott Isaacs, L. Thaler, Niloofar Bazargan, Abbas E. Kitabchi, Cheng‐Gang Zhu, Jing‐Lu Jin, Na‐Qiong Wu, Ying Gao and Ye‐Xuan Cao. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Journal of the Neurological Sciences and BMJ Open.

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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