D. Yin

1.9k total citations · 1 hit paper
24 papers, 1.3k citations indexed

About

D. Yin is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, D. Yin has authored 24 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Endocrinology, Diabetes and Metabolism, 7 papers in Physiology and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in D. Yin's work include Diabetes Management and Research (6 papers), Diabetes Treatment and Management (6 papers) and Asthma and respiratory diseases (6 papers). D. Yin is often cited by papers focused on Diabetes Management and Research (6 papers), Diabetes Treatment and Management (6 papers) and Asthma and respiratory diseases (6 papers). D. Yin collaborates with scholars based in United States, China and Spain. D. Yin's co-authors include Panagiotis Mavros, Girishanthy Krishnarajah, R. Lyu, Fernando Álvarez Guisasola, Vasilisa Sazonov Kocevar, Leonardo Antonicelli, E. Alemao, Q. Zhang, Santiago Tofé and Paolo Sabbatani and has published in prestigious journals such as Journal of Allergy and Clinical Immunology, Diabetologia and European Respiratory Journal.

In The Last Decade

D. Yin

22 papers receiving 1.3k citations

Hit Papers

Positive feedback regulation between glycolysis and histo... 2024 2026 2025 2024 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D. Yin United States 15 497 495 362 218 176 24 1.3k
Jennifer Sung United States 22 90 0.2× 452 0.9× 231 0.6× 100 0.5× 127 0.7× 46 1.6k
Christian Vutuc Austria 19 142 0.3× 112 0.2× 250 0.7× 60 0.3× 307 1.7× 60 971
Eleanor J. Hothersall United Kingdom 11 210 0.4× 237 0.5× 175 0.5× 16 0.1× 103 0.6× 20 827
Peter Felding Denmark 19 328 0.7× 100 0.2× 100 0.3× 17 0.1× 185 1.1× 36 1.0k
R de Marco Italy 8 99 0.2× 329 0.7× 75 0.2× 24 0.1× 101 0.6× 9 643
Florence N. Hutchison United States 21 127 0.3× 185 0.4× 144 0.4× 7 0.0× 160 0.9× 42 1.2k
Alexander Kagan Israel 14 94 0.2× 70 0.1× 69 0.2× 108 0.5× 95 0.5× 34 799
Jetty A. Overbeek Netherlands 14 89 0.2× 298 0.6× 94 0.3× 7 0.0× 138 0.8× 57 716
C G Wathen United Kingdom 16 126 0.3× 172 0.3× 478 1.3× 7 0.0× 285 1.6× 56 1.2k
Julia Kerschbaum Austria 16 82 0.2× 103 0.2× 191 0.5× 11 0.1× 87 0.5× 35 679

Countries citing papers authored by D. Yin

Since Specialization
Citations

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

Fields of papers citing papers by D. Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Yin

This figure shows the co-authorship network connecting the top 25 collaborators of D. Yin. A scholar is included among the top collaborators of D. Yin 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 D. Yin. D. Yin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
J, Li, Dandan Wang, Fei Li, et al.. (2025). Mulberry twig (Sangzhi) alkaloids induce pancreatic α-to-β-cell phenotypic conversion in type 2 diabetic mice. Phytomedicine. 141. 156685–156685. 1 indexed citations
2.
Yin, D., Fei Li, Xia Li, et al.. (2025). GLP-1 receptor agonists show no detrimental effect on sperm quality in mouse models and cell lines. Endocrine. 89(2). 614–626. 1 indexed citations
3.
Sun, Qiang, et al.. (2025). Molecular mechanisms of UCP1-independent thermogenesis: the role of futile cycles in energy dissipation. Journal of Physiology and Biochemistry. 81(3). 521–537. 2 indexed citations
5.
Li, Fei, Wenzhe Si, Li Xia, et al.. (2024). Positive feedback regulation between glycolysis and histone lactylation drives oncogenesis in pancreatic ductal adenocarcinoma. Molecular Cancer. 23(1). 90–90. 156 indexed citations breakdown →
6.
Wang, Dandan, Tianjiao Wei, Xiaona Cui, et al.. (2024). Fam3a-mediated prohormone convertase switch in α-cells regulates pancreatic GLP-1 production in an Nr4a2-Foxa2-dependent manner. Metabolism. 162. 156042–156042. 1 indexed citations
8.
Vexiau, P, Panagiotis Mavros, Girishanthy Krishnarajah, R. Lyu, & D. Yin. (2008). Hypoglycaemia in patients with type 2 diabetes treated with a combination of metformin and sulphonylurea therapy in France. Diabetes Obesity and Metabolism. 10(s1). 16–24. 96 indexed citations
9.
Ringborg, Anna, Peter Lindgren, Mats Martinell, et al.. (2008). Prevalence and incidence of Type 2 diabetes and its complications 1996–2003—estimates from a Swedish population‐based study. Diabetic Medicine. 25(10). 1178–1186. 51 indexed citations
10.
Schwarz, Bernhard, Miguel Gouveia, G Nocea, et al.. (2008). Cost‐effectiveness of sitagliptin‐based treatment regimens in European patients with type 2 diabetes and haemoglobin A1c above target on metformin monotherapy. Diabetes Obesity and Metabolism. 10(s1). 43–55. 66 indexed citations
11.
12.
Yang, Xilin, Wing‐Yee So, Alice P.S. Kong, et al.. (2006). End-stage renal disease risk equations for Hong Kong Chinese patients with type 2 diabetes: Hong Kong Diabetes Registry. Diabetologia. 49(10). 2299–2308. 62 indexed citations
13.
Bousquet, Jean, Sabine Gaugris, Vasilisa Sazonov Kocevar, et al.. (2005). Increased risk of asthma attacks and emergency visits among asthma patients with allergic rhinitis: a subgroup analysis of the improving asthma control trial. Clinical & Experimental Allergy. 35(6). 723–727. 160 indexed citations
14.
Ganse, Éric Van, Leonardo Antonicelli, Q. Zhang, et al.. (2005). Asthma-related resource use and cost by GINA classification of severity in three European countries. Respiratory Medicine. 100(1). 140–147. 45 indexed citations
15.
Kocevar, Vasilisa Sazonov, Joseph Thomas, Linus Jönsson, et al.. (2005). Association between allergic rhinitis and hospital resource use among asthmatic children in Norway. Allergy. 60(3). 338–342. 44 indexed citations
16.
Ganse, Éric Van, Laurent Laforest, Philippe Moulin, et al.. (2005). Ineffectiveness of lipid‐lowering therapy in primary care. British Journal of Clinical Pharmacology. 59(4). 456–463. 28 indexed citations
17.
Ganse, Éric Van, Laurent Laforest, Philippe Moulin, et al.. (2005). Long-term achievement of the therapeutic objectives of lipid-lowering agents in primary prevention patients and cardiovascular outcomes: An observational study. Atherosclerosis. 185(1). 58–64. 17 indexed citations
18.
Antonicelli, Leonardo, C. Bucca, Margherita Neri, et al.. (2004). Asthma severity and medical resource utilisation. European Respiratory Journal. 23(5). 723–729. 238 indexed citations
19.
Yin, D., et al.. (2002). Economic costs of HIV infection: an employer's perspective. The European Journal of Health Economics. 3(4). 226–234. 9 indexed citations
20.
Garattini, Livio, Fabrizio Tediosi, E. Di Cintio, D. Yin, & Fabio Parazzini. (2001). Resource utilization and hospital cost of HIV/AIDS care in Italy in the era of highly active antiretroviral therapy. AIDS Care. 13(6). 733–741. 29 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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