Yanjin Hu

670 total citations
21 papers, 507 citations indexed

About

Yanjin Hu is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Rheumatology. According to data from OpenAlex, Yanjin Hu has authored 21 papers receiving a total of 507 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Endocrinology, Diabetes and Metabolism, 9 papers in Molecular Biology and 5 papers in Rheumatology. Recurrent topics in Yanjin Hu's work include Metabolism, Diabetes, and Cancer (6 papers), Folate and B Vitamins Research (5 papers) and Thyroid Disorders and Treatments (5 papers). Yanjin Hu is often cited by papers focused on Metabolism, Diabetes, and Cancer (6 papers), Folate and B Vitamins Research (5 papers) and Thyroid Disorders and Treatments (5 papers). Yanjin Hu collaborates with scholars based in China. Yanjin Hu's co-authors include Yuan Xu, Guang Wang, Jia Liu, Wenxian Liu, Miao Li, Hui Fan, Guang Wang, Jia Liu, Heng Zhang and Xia Gao and has published in prestigious journals such as PLoS ONE, Nutrients and Medicine.

In The Last Decade

Yanjin Hu

21 papers receiving 497 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yanjin Hu China 13 157 155 155 120 80 21 507
Ali Gürel Türkiye 8 154 1.0× 122 0.8× 70 0.5× 257 2.1× 72 0.9× 35 557
Xiang Hu China 15 134 0.9× 166 1.1× 162 1.0× 212 1.8× 55 0.7× 34 586
Takako Kikuchi Japan 13 141 0.9× 114 0.7× 181 1.2× 98 0.8× 43 0.5× 29 555
Song Lu China 16 128 0.8× 275 1.8× 255 1.6× 105 0.9× 44 0.6× 23 662
Carla Ferri Spain 14 166 1.1× 101 0.7× 134 0.9× 36 0.3× 58 0.7× 33 691
Jing‐Wei Gao China 13 78 0.5× 80 0.5× 139 0.9× 59 0.5× 27 0.3× 38 452
Judy Kempf United States 7 131 0.8× 391 2.5× 197 1.3× 361 3.0× 91 1.1× 12 737
Edward Kiwanuka Italy 19 123 0.8× 101 0.7× 186 1.2× 388 3.2× 23 0.3× 32 852
Yasushi Ide Japan 8 103 0.7× 447 2.9× 275 1.8× 223 1.9× 67 0.8× 19 700
Keming Yang United States 13 101 0.6× 45 0.3× 90 0.6× 76 0.6× 50 0.6× 28 396

Countries citing papers authored by Yanjin Hu

Since Specialization
Citations

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

Fields of papers citing papers by Yanjin Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanjin Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Yanjin Hu. A scholar is included among the top collaborators of Yanjin Hu 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 Yanjin Hu. Yanjin Hu 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.
Zhang, Lin, et al.. (2022). The Changes of Lipidomic Profiles Reveal Therapeutic Effects of Exenatide in Patients With Type 2 Diabetes. Frontiers in Endocrinology. 13. 677202–677202. 16 indexed citations
2.
Gao, Xia, Ning Yang, Yanjin Hu, et al.. (2021). Relation of kidney function and homocysteine in patients with hypothyroidism. Endocrine Connections. 10(5). 502–510. 2 indexed citations
3.
Li, Boyu, Yanjin Hu, Guang Wang, & Lihong Liu. (2020). The effect of exenatide on fasting bile acids in newly diagnosed type 2 diabetes mellitus patients, a pilot study. BMC Pharmacology and Toxicology. 21(1). 44–44. 1 indexed citations
4.
Zhang, Yeqing, et al.. (2020). The Prevalence of Euthyroid Hypertriiodothyroninemia in Newly Diagnosed Multiple Myeloma and its Clinical Characteristics. Endocrine Practice. 27(3). 236–240. 2 indexed citations
6.
Hu, Yanjin, et al.. (2020). The Relationship Between the Impairment of Endothelial Function and Thyroid Antibodies in Hashimoto’s Thyroiditis Patients with Euthyroidism. Hormone and Metabolic Research. 52(9). 642–646. 10 indexed citations
7.
Hu, Yanjin, Yuan Xu, & Guang Wang. (2019). Homocysteine Levels are Associated with Endothelial Function in Newly Diagnosed Type 2 Diabetes Mellitus Patients. Metabolic Syndrome and Related Disorders. 17(6). 323–327. 19 indexed citations
8.
Hu, Yanjin, Jia Liu, Guang Wang, & Yuan Xu. (2018). The Effects of Exenatide and Metformin on Endothelial Function in Newly Diagnosed Type 2 Diabetes Mellitus Patients: A Case–Control Study. Diabetes Therapy. 9(3). 1295–1305. 20 indexed citations
9.
Liu, Jia, Yanjin Hu, Yuan Xu, et al.. (2017). Comparison of Exenatide and Metformin Monotherapy in Overweight/Obese Patients with Newly Diagnosed Type 2 Diabetes. International Journal of Endocrinology. 2017. 1–6. 9 indexed citations
10.
Hu, Yanjin, et al.. (2016). Exenatide treatment decreases fasting fibroblast growth factor 21 levels in patients with newly diagnosed type 2 diabetes mellitus. Diabetes & Metabolism. 42(5). 358–363. 16 indexed citations
11.
Wang, Guang, Jia Liu, Ning Yang, et al.. (2016). Levothyroxine treatment restored the decreased circulating fibroblast growth factor 21 levels in patients with hypothyroidism. European Journal of Internal Medicine. 31. 94–98. 15 indexed citations
12.
Liu, Jia, Yanjin Hu, Heng Zhang, Yuan Xu, & Guang Wang. (2016). Exenatide treatment increases serum irisin levels in patients with obesity and newly diagnosed type 2 diabetes. Journal of Diabetes and its Complications. 30(8). 1555–1559. 40 indexed citations
13.
Liu, Jia, Ying Wang, Yanjin Hu, Song Leng, & Guang Wang. (2016). Comparison of β-cell dysfunction and insulin resistance correlating obesity with type 2 diabetes: A cross-sectional study. Journal of Diabetes and its Complications. 30(5). 898–902. 4 indexed citations
14.
Liu, Jia, Rui Lu, Ying Wang, et al.. (2016). PPARαAgonist Fenofibrate Reduced the Secreting Load ofβ-Cells in Hypertriglyceridemia Patients with Normal Glucose Tolerance. PPAR Research. 2016. 1–7. 5 indexed citations
15.
Hu, Yanjin, et al.. (2016). Clinical Study of Serum Homocysteine and Non-Alcoholic Fatty Liver Disease in Euglycemic Patients. Medical Science Monitor. 22. 4146–4151. 14 indexed citations
17.
Li, Miao, Pengrui Zhang, Xin Wang, et al.. (2015). High prevalence of vitamin D deficiency in urban health checkup population. Clinical Nutrition. 35(4). 859–863. 54 indexed citations
18.
Yang, Ning, Miao Li, Jia Liu, et al.. (2015). Novel Clinical Evidence of an Association between Homocysteine and Insulin Resistance in Patients with Hypothyroidism or Subclinical Hypothyroidism. PLoS ONE. 10(5). e0125922–e0125922. 48 indexed citations
19.
Liu, Jia, Yuan Xu, Yanjin Hu, & Guang Wang. (2014). The role of fibroblast growth factor 21 in the pathogenesis of non-alcoholic fatty liver disease and implications for therapy. Metabolism. 64(3). 380–390. 99 indexed citations
20.
Hu, Yanjin, et al.. (2014). Resveratrol Increases Nephrin and Podocin Expression and Alleviates Renal Damage in Rats Fed a High-Fat Diet. Nutrients. 6(7). 2619–2631. 47 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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