Jiyuan An

3.4k total citations
58 papers, 1.4k citations indexed

About

Jiyuan An is a scholar working on Molecular Biology, Genetics and Artificial Intelligence. According to data from OpenAlex, Jiyuan An has authored 58 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 14 papers in Genetics and 12 papers in Artificial Intelligence. Recurrent topics in Jiyuan An's work include Genetic Associations and Epidemiology (11 papers), Data Mining Algorithms and Applications (5 papers) and Cancer-related molecular mechanisms research (5 papers). Jiyuan An is often cited by papers focused on Genetic Associations and Epidemiology (11 papers), Data Mining Algorithms and Applications (5 papers) and Cancer-related molecular mechanisms research (5 papers). Jiyuan An collaborates with scholars based in Australia, United States and United Kingdom. Jiyuan An's co-authors include Stuart MacGregor, Jue‐Sheng Ong, Puya Gharahkhani, Zhaoqin Huang, Alex Nie, Sanjukta Ghosh, Colleen C. Nelson, Matthew H. Law, Melanie Lehman and Yi‐Ping Phoebe Chen and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and American Journal of Clinical Nutrition.

In The Last Decade

Jiyuan An

54 papers receiving 1.4k citations

Peers

Jiyuan An
Yongshuai Jiang China
Gang Feng China
Pablo Marín-García Spain
Tao Han United States
Noam Nativ Israel
Noor Ahmad Shaik Saudi Arabia
Yehudit Hasin-Brumshtein United States
Iris Bahir Israel
Constantin Georgescu United States
Martina Kutmon Netherlands
Yongshuai Jiang China
Jiyuan An
Citations per year, relative to Jiyuan An Jiyuan An (= 1×) peers Yongshuai Jiang

Countries citing papers authored by Jiyuan An

Since Specialization
Citations

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

Fields of papers citing papers by Jiyuan An

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiyuan An

This figure shows the co-authorship network connecting the top 25 collaborators of Jiyuan An. A scholar is included among the top collaborators of Jiyuan An 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 Jiyuan An. Jiyuan An 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.
Felippes, Felipe Fenselau de, Julia Bally, Chris J. Blackman, et al.. (2024). Evidence for within‐species transition between drought response strategies in Nicotiana benthamiana. New Phytologist. 244(2). 464–476. 2 indexed citations
2.
Reynolds, Carl, Fabiola Del Greco M, Richard J. Allen, et al.. (2023). The causal relationship between gastro-oesophageal reflux disease and idiopathic pulmonary fibrosis: a bidirectional two-sample Mendelian randomisation study. European Respiratory Journal. 61(5). 2201585–2201585. 32 indexed citations
3.
Thorp, Jackson G., Adrián I. Campos, Andrew D. Grotzinger, et al.. (2021). Symptom-level modelling unravels the shared genetic architecture of anxiety and depression. Nature Human Behaviour. 5(10). 1432–1442. 51 indexed citations
4.
5.
Ong, Jue‐Sheng, Eske M. Derks, Mikael Eriksson, et al.. (2020). Evaluating the role of alcohol consumption in breast and ovarian cancer susceptibility using population‐based cohort studies and two‐sample Mendelian randomization analyses. International Journal of Cancer. 148(6). 1338–1350. 11 indexed citations
6.
Dusingize, Jean Claude, Catherine M. Olsen, Jiyuan An, et al.. (2020). Genetically determined risk of keratinocyte carcinoma and risk of other cancers. International Journal of Epidemiology. 50(4). 1316–1324. 1 indexed citations
7.
Dusingize, Jean Claude, Catherine M. Olsen, Jiyuan An, et al.. (2020). Body mass index and height and risk of cutaneous melanoma: Mendelian randomization analyses. International Journal of Epidemiology. 49(4). 1236–1245. 24 indexed citations
8.
Ong, Jue‐Sheng, Liang‐Dar Hwang, Victor W. Zhong, et al.. (2020). Author Correction: Understanding the role of bitter taste perception in coffee, tea and alcohol consumption through Mendelian randomization. Scientific Reports. 10(1). 4778–4778.
9.
Marees, Andries T., Dirk J. A. Smit, Jue‐Sheng Ong, et al.. (2019). Potential influence of socioeconomic status on genetic correlations between alcohol consumption measures and mental health. Psychological Medicine. 50(3). 484–498. 34 indexed citations
10.
Ong, Jue‐Sheng, Matthew H. Law, Jiyuan An, et al.. (2019). Association between coffee consumption and overall risk of being diagnosed with or dying from cancer among >300 000 UK Biobank participants in a large-scale Mendelian randomization study. International Journal of Epidemiology. 48(5). 1447–1456. 26 indexed citations
11.
Ong, Jue‐Sheng, et al.. (2019). Mendelian Randomization Study for Genetically Predicted Polyunsaturated Fatty Acids Levels on Overall Cancer Risk and Mortality. Cancer Epidemiology Biomarkers & Prevention. 28(6). 1015–1023. 16 indexed citations
12.
Law, Matthew H., Xikun Han, Jiyuan An, et al.. (2019). Combined analysis of keratinocyte cancers identifies novel genome-wide loci. Human Molecular Genetics. 28(18). 3148–3160. 34 indexed citations
13.
Han, Xikun, Ayub Qassim, Jiyuan An, et al.. (2019). Genome-wide association analysis of 95 549 individuals identifies novel loci and genes influencing optic disc morphology. Human Molecular Genetics. 28(21). 3680–3690. 16 indexed citations
14.
Gharahkhani, Puya, Jue‐Sheng Ong, Jiyuan An, et al.. (2019). Effect of increased body mass index on risk of diagnosis or death from cancer. British Journal of Cancer. 120(5). 565–570. 16 indexed citations
15.
Ong, Jue‐Sheng, Liang‐Dar Hwang, Victor W. Zhong, et al.. (2018). Understanding the role of bitter taste perception in coffee, tea and alcohol consumption through Mendelian randomization. Scientific Reports. 8(1). 16414–16414. 35 indexed citations
16.
Ong, Jue‐Sheng, Jiyuan An, Matthew H. Law, et al.. (2018). Height and overall cancer risk and mortality: evidence from a Mendelian randomisation study on 310,000 UK Biobank participants. British Journal of Cancer. 118(9). 1262–1267. 40 indexed citations
17.
Holzapfel, Boris Michael, Ji Liu, Terence K. Lee, et al.. (2015). Tie-2 regulates the stemness and metastatic properties of prostate cancer cells. QUT ePrints (Queensland University of Technology). 1 indexed citations
18.
Lai, John, Jiyuan An, Inge Seim, et al.. (2015). Fusion transcript loci share many genomic features with non-fusion loci. BMC Genomics. 16(1). 1021–1021. 14 indexed citations
19.
An, Jiyuan & Yi‐Ping Phoebe Chen. (2006). Depth First Rule Generation for Text Categorization. 138. 302–306. 1 indexed citations
20.
An, Jiyuan, et al.. (2002). The convex polyhedra technique: an index structure for high-dimensional space. Australasian Database Conference. 24(2). 33–40. 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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