K. Xiang

1.4k total citations
34 papers, 479 citations indexed

About

K. Xiang is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Surgery. According to data from OpenAlex, K. Xiang has authored 34 papers receiving a total of 479 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 10 papers in Endocrinology, Diabetes and Metabolism and 9 papers in Surgery. Recurrent topics in K. Xiang's work include Metabolism, Diabetes, and Cancer (10 papers), Pancreatic function and diabetes (8 papers) and RNA modifications and cancer (6 papers). K. Xiang is often cited by papers focused on Metabolism, Diabetes, and Cancer (10 papers), Pancreatic function and diabetes (8 papers) and RNA modifications and cancer (6 papers). K. Xiang collaborates with scholars based in China, United States and Canada. K. Xiang's co-authors include Weiping Jia, Cheng Hu, Yuqian Bao, Congrong Wang, Graeme I. Bell, Huo Wu, Xuhong Hou, Jieli Lu, Wen Qin and Huilin Li and has published in prestigious journals such as Nucleic Acids Research, Human Molecular Genetics and Diabetologia.

In The Last Decade

K. Xiang

33 papers receiving 466 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
K. Xiang China 11 254 190 133 104 97 34 479
Xiaojing Ma China 9 160 0.6× 103 0.5× 160 1.2× 78 0.8× 42 0.4× 13 393
Anu Kareinen Finland 10 103 0.4× 134 0.7× 88 0.7× 129 1.2× 154 1.6× 13 398
P D Zenobi Switzerland 8 250 1.0× 386 2.0× 69 0.5× 106 1.0× 122 1.3× 9 482
G. Secchi Italy 10 102 0.4× 216 1.1× 104 0.8× 194 1.9× 59 0.6× 14 459
K.-H. Usadel Germany 11 159 0.6× 195 1.0× 61 0.5× 60 0.6× 104 1.1× 31 476
H. J. L. Speirs Australia 10 410 1.6× 140 0.7× 73 0.5× 50 0.5× 142 1.5× 11 571
Christian Rantzau Australia 12 146 0.6× 309 1.6× 84 0.6× 121 1.2× 111 1.1× 23 523
Trevor H. Thomas United Kingdom 14 198 0.8× 113 0.6× 73 0.5× 55 0.5× 90 0.9× 29 539
Anne Debonneville Switzerland 14 472 1.9× 146 0.8× 55 0.4× 99 1.0× 49 0.5× 21 621
B. Hölzl Austria 9 108 0.4× 164 0.9× 56 0.4× 91 0.9× 153 1.6× 15 338

Countries citing papers authored by K. Xiang

Since Specialization
Citations

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

Fields of papers citing papers by K. Xiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K. Xiang

This figure shows the co-authorship network connecting the top 25 collaborators of K. Xiang. A scholar is included among the top collaborators of K. Xiang 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 K. Xiang. K. Xiang 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.
2.
Jiang, Feng, Cheng Hu, Weihui Yu, et al.. (2012). Genetic variants of LPIN1 indicate an association with Type 2 diabetes mellitus in a Chinese population. Diabetic Medicine. 30(1). 118–122. 8 indexed citations
3.
Yu, Weihui, Ronald C.W., Cheng Hu, et al.. (2012). Association between KCNQ1 genetic variants and obesity in Chinese patients with type 2 diabetes. Diabetologia. 55(10). 2655–2659. 20 indexed citations
4.
Fang, Qichen, Shuo Chen, Yihuan Wang, et al.. (2012). Functional analyses of the mutation nt‐128 T→G in the hepatocyte nuclear factor‐1α promoter region in Chinese diabetes pedigrees. Diabetic Medicine. 29(11). 1456–1464. 2 indexed citations
5.
Li, Dewei, Xuhong Hou, Xiaojing Ma, et al.. (2011). Increment of 30‐min post‐challenge plasma glucose is associated with urine albumin excretion in men with normal glucose regulation. Diabetic Medicine. 28(11). 1323–1329. 1 indexed citations
6.
Hu, Cheng, Weiwei Hu, Congrong Wang, et al.. (2010). A common variant of NOS1AP is associated with QT interval duration in a Chinese population with Type 2 diabetes. Diabetic Medicine. 27(9). 1074–1079. 17 indexed citations
7.
Bao, Yuqian, Xiaojing Ma, Huilin Li, et al.. (2010). Glycated haemoglobin A1c for diagnosing diabetes in Chinese population: cross sectional epidemiological survey. BMJ. 340(may17 1). c2249–c2249. 112 indexed citations
8.
Bao, Yuqian, Xuhong Hou, Xiaoping Pan, et al.. (2009). Identification of waist circumference cutoffs for abdominal obesity in the Chinese population: a 7.8-year follow-up study in the Shanghai urban area. International Journal of Obesity. 33(9). 1058–1062. 25 indexed citations
9.
Hu, Cheng, Weiping Jia, Congrong Wang, et al.. (2008). Effect of RBP4 gene variants on circulating RBP4 concentration and Type 2 diabetes in a Chinese population. Diabetic Medicine. 25(1). 11–18. 27 indexed citations
10.
Bell, Graeme I., et al.. (2007). The Molecular Genetics of Diabetes Mellitus. Novartis Foundation symposium. 130. 167–183. 1 indexed citations
11.
Wang, Congrong, et al.. (2004). Scanning for MODY5 gene mutations in Chinese early onset or multiple affected diabetes pedigrees. Acta Diabetologica. 41(4). 137–145. 7 indexed citations
12.
Zheng, Yiming, K. Xiang, Weiping Jia, et al.. (2000). [The association between A55V variant in UCP2 gene and body fat distribution, serum lipid profile in Chinese].. PubMed. 17(2). 97–100. 4 indexed citations
13.
Wu, Shengbiao, K. Xiang, Xinyi Lin, et al.. (1998). Relationship between angiotensin I converting enzyme gene polymorphism and diabetic nephropathy.. PubMed. 111(5). 478–9. 6 indexed citations
14.
Lehto, Markku, K. Xiang, Markus Stoffel, et al.. (1993). Human hexokinase II: localization of the polymorphic gene to chromosome 2. Diabetologia. 36(12). 1299–1302. 26 indexed citations
15.
Nishi, S., Markus Stoffel, K. Xiang, et al.. (1992). Human pancreatic Beta-cell glucokinase: cDNA sequence and localization of the polymorphic gene to chromosome 7, band p 13. Diabetologia. 35(8). 743–747. 39 indexed citations
16.
Stoffel, Markus, K. Xiang, & Graeme I. Bell. (1992). Dinucleotide repeat polymorphism at the human ribophorin II locus (RPN2) on chromosome 20q. Human Molecular Genetics. 1(8). 656–656. 3 indexed citations
17.
Xiang, K., Mathias Granqvist, M. Seino, Susumu Seino, & Graeme I. Bell. (1991). Microsatellite polymorphism in human insulin receptor gene (INSR) on chromosome 19. Nucleic Acids Research. 19(18). 5094–5094. 7 indexed citations
18.
Xiang, K., et al.. (1991). Dinucleotide repeat polymorphism in the human SRC gene on chromosome 20. Nucleic Acids Research. 19(24). 6967–6967. 8 indexed citations
19.
Granqvist, Mathias, K. Xiang, M. Seino, Hirofumi Fukumoto, & Graeme I. Bell. (1991). Dinucleotide repeat polymorphism in human GLUT2/liver facilitative glucose transporter gene on chromosome 3. Nucleic Acids Research. 19(17). 4791–4791. 11 indexed citations
20.
Xiang, K., et al.. (1987). Bgl II RFLP at the human erythrocyte/HepG2-type glucose transporter (GLUT) locus on chromosome 1. Nucleic Acids Research. 15(21). 9101–9101. 2 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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