Jingze Tan

2.4k total citations
36 papers, 956 citations indexed

About

Jingze Tan is a scholar working on Genetics, Molecular Biology and Archeology. According to data from OpenAlex, Jingze Tan has authored 36 papers receiving a total of 956 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Genetics, 11 papers in Molecular Biology and 7 papers in Archeology. Recurrent topics in Jingze Tan's work include Forensic and Genetic Research (13 papers), Genetic and phenotypic traits in livestock (6 papers) and Forensic Anthropology and Bioarchaeology Studies (6 papers). Jingze Tan is often cited by papers focused on Forensic and Genetic Research (13 papers), Genetic and phenotypic traits in livestock (6 papers) and Forensic Anthropology and Bioarchaeology Studies (6 papers). Jingze Tan collaborates with scholars based in China, United States and Germany. Jingze Tan's co-authors include Jin Li, Hui Li, Yajun Yang, Ji Qian, Bo Wen, Liang Zhang, Bing Su, Feng Li, Ranajit Chakraborty and Sijia Wang and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Genetics.

In The Last Decade

Jingze Tan

35 papers receiving 922 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jingze Tan China 16 459 306 163 97 71 36 956
Andrés Moreno‐Estrada United States 15 895 1.9× 313 1.0× 108 0.7× 32 0.3× 57 0.8× 35 1.4k
Xianyun Mao United States 12 1.1k 2.3× 445 1.5× 127 0.8× 146 1.5× 63 0.9× 22 1.7k
О. В. Жукова Russia 15 550 1.2× 320 1.0× 106 0.7× 100 1.0× 46 0.6× 132 970
Elina Salmela Finland 15 396 0.9× 183 0.6× 68 0.4× 44 0.5× 22 0.3× 33 755
Georgi Hudjashov Estonia 15 711 1.5× 300 1.0× 323 2.0× 49 0.5× 24 0.3× 32 1.2k
Rachel M. Gittelman United States 9 356 0.8× 203 0.7× 141 0.9× 19 0.2× 130 1.8× 12 722
Marc Bauchet United States 6 657 1.4× 245 0.8× 47 0.3× 69 0.7× 17 0.2× 6 877
Carrie Lynn Pfaff United States 6 671 1.5× 209 0.7× 40 0.2× 92 0.9× 38 0.5× 7 1.0k
Marco Sazzini Italy 19 319 0.7× 367 1.2× 85 0.5× 14 0.1× 58 0.8× 50 877
Saioa López United Kingdom 14 226 0.5× 186 0.6× 51 0.3× 32 0.3× 26 0.4× 25 653

Countries citing papers authored by Jingze Tan

Since Specialization
Citations

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

Fields of papers citing papers by Jingze Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingze Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Jingze Tan. A scholar is included among the top collaborators of Jingze Tan 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 Jingze Tan. Jingze Tan 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, Zhao, Mu Li, Jingze Tan, et al.. (2025). FPQuant: A deep learning-based scalable framework for fingerprint phenomics quantification in large-scale biometric population studies. Pattern Recognition. 173. 112808–112808.
2.
Zuo, Ling, Zijia Liu, Xu Wang, et al.. (2025). TonguExpert: A Deep Learning-Based Algorithm Platform for Fine-Grained Extraction and Classification of Tongue Phenotypes. PubMed. 5(2). 109–122. 1 indexed citations
3.
Tan, Jingze, Jun Yan, Chang Sun, et al.. (2024). A comprehensive evaluation of the phenotype-first and data-driven approaches in analyzing facial morphological traits. iScience. 27(3). 109325–109325. 1 indexed citations
4.
Zhang, Guanqing, Fengqing Liu, Qiliang Zhu, et al.. (2024). Triple Templates Directed Synthesis of Nitrogen‐Doped Hierarchically Porous Carbons from Pyridine Rich Monomer as Efficient and Reversible SO2 Adsorbents. Small. 20(46). e2404548–e2404548. 6 indexed citations
5.
Tan, Jingze, et al.. (2023). De Novo Dissecting the Three-Dimensional Facial Morphology of 2379 Han Chinese Individuals. PubMed. 4(1). 1–12. 4 indexed citations
6.
Tan, Jingze, Wenyan Chen, Manfei Zhang, et al.. (2023). GWASs Identify Genetic Loci Associated with Human Scalp Hair Whorl Direction. Journal of Investigative Dermatology. 143(10). 2065–2068.e10. 2 indexed citations
7.
Li, Yi, Yanqing Tang, Jingze Tan, et al.. (2023). Metabolome subtyping reveals multi-omics characteristics and biological heterogeneity in major psychiatric disorders. Psychiatry Research. 330. 115605–115605. 2 indexed citations
8.
Zhang, Manfei, Sijie Wu, Lu Qiao, et al.. (2022). Genetic variants underlying differences in facial morphology in East Asian and European populations. Nature Genetics. 54(4). 403–411. 23 indexed citations
9.
Chen, Guoke, Boyan Zhou, Yishi Yang, et al.. (2022). Sex-Biased Population Admixture Mediated Subsistence Strategy Transition of Heishuiguo People in Han Dynasty Hexi Corridor. Frontiers in Genetics. 13. 827277–827277. 12 indexed citations
10.
Luo, Xiaoqin, Ling-Xiang Wang, Boyan Zhou, et al.. (2019). Uniparental Genetic Analyses Reveal the Major Origin of Fujian Tanka from Ancient Indigenous Daic Populations. Human Biology. 91(4). 257–257. 4 indexed citations
11.
Qiao, Lu, Yajun Yang, Pengcheng Fu, et al.. (2018). Genome-wide variants of Eurasian facial shape differentiation and a prospective model of DNA based face prediction. Journal of genetics and genomics. 45(8). 419–432. 31 indexed citations
12.
Wen, Shaoqing, et al.. (2017). [Identification of Y-chromosomal Genetic Types for the Soldier's Remains from Huaihai Campaign].. SHILAP Revista de lepidopterología. 33(4). 357–362. 1 indexed citations
13.
Hu, Sile, et al.. (2017). Signatures of personality on dense 3D facial images. Scientific Reports. 7(1). 73–73. 17 indexed citations
14.
Tan, Jingze, Anke Hüls, Anan Ding, et al.. (2016). Genetic variants associated with skin aging in the Chinese Han population. Journal of Dermatological Science. 86(1). 21–29. 20 indexed citations
15.
Peng, Shouneng, Jingze Tan, Sile Hu, et al.. (2013). Detecting Genetic Association of Common Human Facial Morphological Variation Using High Density 3D Image Registration. PLoS Computational Biology. 9(12). e1003375–e1003375. 36 indexed citations
16.
Tan, Jingze, Yajun Yang, Kun Tang, et al.. (2013). The adaptive variant EDARV370A is associated with straight hair in East Asians. Human Genetics. 132(10). 1187–1191. 42 indexed citations
17.
Zheng, Hongxiang, Shi Yan, Zhendong Qin, et al.. (2011). Major Population Expansion of East Asians Began before Neolithic Time: Evidence of mtDNA Genomes. PLoS ONE. 6(10). e25835–e25835. 60 indexed citations
18.
Zhang, Fan, Zhi Xu, Jingze Tan, et al.. (2009). Prehistorical East–West admixture of maternal lineages in a 2,500‐year‐old population in Xinjiang. American Journal of Physical Anthropology. 142(2). 314–320. 22 indexed citations
19.
Xu, Zhi, Fan Zhang, Jingze Tan, et al.. (2008). Mitochondrial DNA Evidence for a Diversified Origin of Workers Building Mausoleum for First Emperor of China. PLoS ONE. 3(10). e3275–e3275. 9 indexed citations
20.
Wen, Bo, Hui Li, Daru Lu, et al.. (2004). Genetic evidence supports demic diffusion of Han culture. Nature. 431(7006). 302–305. 320 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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