Dan Jiang

2.0k total citations
90 papers, 1.4k citations indexed

About

Dan Jiang is a scholar working on Genetics, Molecular Biology and Plant Science. According to data from OpenAlex, Dan Jiang has authored 90 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Genetics, 16 papers in Molecular Biology and 14 papers in Plant Science. Recurrent topics in Dan Jiang's work include Genetic and phenotypic traits in livestock (16 papers), Genetic Mapping and Diversity in Plants and Animals (16 papers) and Natural product bioactivities and synthesis (11 papers). Dan Jiang is often cited by papers focused on Genetic and phenotypic traits in livestock (16 papers), Genetic Mapping and Diversity in Plants and Animals (16 papers) and Natural product bioactivities and synthesis (11 papers). Dan Jiang collaborates with scholars based in China, United Kingdom and United States. Dan Jiang's co-authors include Qiao‐Li Dong, Yekini Shehu, Shepo Shi, Caixia Dong, Pengfei Tu, Aviv Gibali, Gavin Morrison, Hao Lin, Jun Xia and Bi Jun Li and has published in prestigious journals such as Nature Communications, PLoS ONE and BMC Bioinformatics.

In The Last Decade

Dan Jiang

87 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dan Jiang China	22	279	215	202	183	155	90	1.4k
Yanyan Lu China	20	154 0.6×	116 0.5×	355 1.8×	133 0.7×	105 0.7×	70	1.3k
Sun‐Young Kim South Korea	24	94 0.3×	84 0.4×	844 4.2×	69 0.4×	619 4.0×	111	2.4k
Pavel Gurevich Israel	16	69 0.2×	63 0.3×	117 0.6×	41 0.2×	49 0.3×	81	886
Mengchen Wang China	17	64 0.2×	4 0.0×	139 0.7×	15 0.1×	24 0.2×	67	836
Guangyu Zhao China	22	43 0.2×	67 0.3×	351 1.7×	176 1.0×	263 1.7×	63	1.8k
Wei Gui China	18	20 0.1×	9 0.0×	359 1.8×	55 0.3×	110 0.7×	79	1.1k
Ali Khani Iran	12	36 0.1×	31 0.1×	327 1.6×	10 0.1×	26 0.2×	31	892
Yushan Chen China	24	79 0.3×		869 4.3×	116 0.6×	50 0.3×	139	2.1k
Sang Cheol Kim South Korea	28	49 0.2×		1.1k 5.4×	170 0.9×	209 1.3×	92	2.3k
Christian Andersson Sweden	11	58 0.2×	12 0.1×	562 2.8×	46 0.3×	44 0.3×	25	1.1k

Countries citing papers authored by Dan Jiang

Since Specialization

Citations

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

Fields of papers citing papers by Dan Jiang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan Jiang

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Zhou, Meng, et al.. (2025). Evaluation of genomic prediction of resistance to visceral white-spot disease in large yellow croaker (Larimichthys crocea). Aquaculture. 599. 742114–742114. 1 indexed citations

Gu, Linlin, Tianyi Liu, Yongjie Zhang, et al.. (2025). Rapid and accurate multi-phenotype imputation for millions of individuals. Nature Communications. 16(1). 387–387. 3 indexed citations

Li, Xinya, Zaiwei Song, Jingjing Wu, et al.. (2024). Immune checkpoint inhibitors-related thyroid dysfunction: influencing factor analysis, prediction model development, and management strategy proposal. Cancer Immunology Immunotherapy. 74(1). 2–2. 1 indexed citations

Hu, Yang, et al.. (2024). Is therapeutic drug monitoring a dancing partner for TNF-α inhibitors in real-world practice? Answers from an updated systematic review and meta-analysis. Expert Review of Clinical Pharmacology. 17(10). 935–948.

Song, Zaiwei, Dan Jiang, Daobin Zhou, et al.. (2024). Evidence-based expert consensus on clinical management of safety of Bruton’s tyrosine kinase inhibitors (2024). Chinese Journal of Cancer Research. 36(2). 240–256. 3 indexed citations

Zhou, Meng, Yongjie Zhang, Wenjing Zhang, et al.. (2023). The study of the genomic selection of white gill disease resistance in large yellow croaker (Larimichthys crocea). Aquaculture. 574. 739682–739682. 14 indexed citations

Li, Xinya, et al.. (2023). Status and Quality of Guidelines for Therapeutic Drug Monitoring Based on AGREE II Instrument. Clinical Pharmacokinetics. 62(9). 1201–1217. 3 indexed citations

Xu, Renhui, et al.. (2023). Performance Analysis of Multi-Hop Flying Mesh Network Using Directional Antenna Based on β-GPP. Drones. 7(5). 335–335. 2 indexed citations

Jiang, Dan, Wanbo Li, Zhiyong Wang, & Ming Fang. (2021). Genome-Wide Identification of Cis-acting Expression QTLs in Large Yellow Croaker. Marine Biotechnology. 23(2). 225–232. 4 indexed citations

10.

Zhang, Tianyu, Neil Bulstrode, Kay W. Chang, et al.. (2019). International Consensus Recommendations on Microtia, Aural Atresia and Functional Ear Reconstruction. The Journal of International Advanced Otology. 15(2). 204–208. 65 indexed citations

11.

Powell, Harry R. F., et al.. (2018). An alternative approach to mixed hearing loss in otosclerosis: stapes surgery combined with an active middle-ear implant. The Journal of Laryngology & Otology. 132(5). 457–460. 3 indexed citations

12.

Dong, Qiao‐Li & Dan Jiang. (2018). Simultaneous and semi-alternating projection algorithms for solving split equality problems. Journal of Inequalities and Applications. 2018(1). 4–4. 4 indexed citations

13.

Connor, Steve, et al.. (2014). Radiological Dehiscence of the Mastoid Portion of the Facial Nerve after Posterior Tympanotomy: Does It Lead to Increased Risk of Nerve Injury?. The Journal of International Advanced Otology. 10(1). 44–47. 2 indexed citations

14.

Jiang, Dan, Hongwei Wang, Jiahan Li, et al.. (2014). Cox regression model for dissecting genetic architecture of survival time. Genomics. 104(6). 472–476. 6 indexed citations

15.

Riskalla, Andrew, et al.. (2010). An illuminated retractor for minimal access surgery in cochlear implantation: How we do it. Acta Oto-Laryngologica. 130(10). 1199–1200. 3 indexed citations

16.

Liu, Shuyan, et al.. (2009). Detection of Escherichia coli O157:H7 by multiplex PCR-DHPLC. Zhonghua weishengwuxue he mianyixue zazhi. 29(4). 366–369. 1 indexed citations

17.

Fang, Ming, et al.. (2008). A new Bayesian automatic model selection approach for mapping quantitative trait loci under variance component model. Genetica. 135(3). 429–437. 6 indexed citations

18.

Shi, Shepo, Caixia Dong, Dan Jiang, & Pengfei Tu. (2007). Macrocyclic Glycosides from Clematis hexapetala. ChemInform. 38(18). 1 indexed citations

19.

Shi, Shepo, Pengfei Tu, Caixia Dong, & Dan Jiang. (2006). Alkaloids fromClematis manshuricaRupr.. Journal of Asian Natural Products Research. 8(1-2). 73–78. 21 indexed citations

20.

Padgham, N. D., et al.. (2005). Day-case major ear surgery: is it viable?. The Journal of Laryngology & Otology. 120(1). 5–9. 15 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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