Di Tian

2.7k total citations · 1 hit paper
35 papers, 1.6k citations indexed

About

Di Tian is a scholar working on Epidemiology, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Di Tian has authored 35 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Epidemiology, 10 papers in Infectious Diseases and 8 papers in Molecular Biology. Recurrent topics in Di Tian's work include Influenza Virus Research Studies (13 papers), Respiratory viral infections research (11 papers) and SARS-CoV-2 and COVID-19 Research (6 papers). Di Tian is often cited by papers focused on Influenza Virus Research Studies (13 papers), Respiratory viral infections research (11 papers) and SARS-CoV-2 and COVID-19 Research (6 papers). Di Tian collaborates with scholars based in China, United States and Australia. Di Tian's co-authors include Jeannie T. Lee, Sha Sun, Christopher J. Lyon, Bo Ning, Tony Hu, Xiao‐Ming Yin, Zhen Huang, Zhen Lin, Yunwen Hu and Dahlene N. Fusco and has published in prestigious journals such as Cell, Nature Communications and Nature Neuroscience.

In The Last Decade

Di Tian

31 papers receiving 1.6k citations

Hit Papers

A smartphone-read ultrasensitive and quantitative saliva ... 2021 2026 2022 2024 2021 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Di Tian China 18 877 443 374 279 276 35 1.6k
Xiaoliu Zhang United States 28 924 1.1× 237 0.5× 455 1.2× 235 0.8× 991 3.6× 103 2.4k
Jason Dang United States 15 925 1.1× 300 0.7× 220 0.6× 217 0.8× 79 0.3× 26 1.7k
Carl Hay United States 16 669 0.8× 223 0.5× 141 0.4× 85 0.3× 451 1.6× 22 1.9k
Yiming Xie United States 24 943 1.1× 300 0.7× 206 0.6× 141 0.5× 510 1.8× 49 1.7k
Antoine A.F. de Vries Netherlands 37 1.5k 1.7× 1.1k 2.5× 113 0.3× 216 0.8× 1.0k 3.6× 120 3.9k
F. Murata United States 23 879 1.0× 114 0.3× 553 1.5× 69 0.2× 168 0.6× 96 2.4k
Veena S. Patil United States 11 1.1k 1.2× 263 0.6× 265 0.7× 119 0.4× 108 0.4× 19 1.8k
Xing Tang China 21 592 0.7× 246 0.6× 337 0.9× 72 0.3× 182 0.7× 63 1.4k
Rodrigo Madeiro da Costa Brazil 16 587 0.7× 400 0.9× 261 0.7× 203 0.7× 65 0.2× 27 1.5k
Xiaobin Lü United States 17 859 1.0× 246 0.6× 191 0.5× 89 0.3× 547 2.0× 24 1.9k

Countries citing papers authored by Di Tian

Since Specialization
Citations

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

Fields of papers citing papers by Di Tian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Di Tian

This figure shows the co-authorship network connecting the top 25 collaborators of Di Tian. A scholar is included among the top collaborators of Di Tian 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 Di Tian. Di Tian 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.
Chen, Zheng, Guixiang Dai, Di Tian, et al.. (2023). COVID-19 and influenza infections mediate distinct pulmonary cellular and transcriptomic changes. Communications Biology. 6(1). 1265–1265. 9 indexed citations
2.
Ning, Bo, Brady M. Youngquist, Christopher J. Lyon, et al.. (2022). Rapid detection of multiple SARS-CoV-2 variants of concern by PAM-targeting mutations. Cell Reports Methods. 2(2). 100173–100173. 21 indexed citations
4.
Ning, Bo, Tao Yu, Shengwei Zhang, et al.. (2021). A smartphone-read ultrasensitive and quantitative saliva test for COVID-19. Science Advances. 7(2). 196 indexed citations breakdown →
5.
Jia, Xiaofang, Xiaonan Zhang, Yun Ling, et al.. (2021). Application of nanopore sequencing in diagnosis of secondary infections in patients with severe COVID-19. Journal of Zhejiang University (Medical Sciences). 50(6). 748–754. 1 indexed citations
6.
Bao, Yu-Jie, Yun Ling, Yingying Chen, et al.. (2020). Dynamic anti-spike protein antibody profiles in COVID-19 patients. International Journal of Infectious Diseases. 103. 540–548. 21 indexed citations
7.
Gan, Peiheng, Michaela Patterson, Di Tian, et al.. (2019). Tnni3k alleles influence ventricular mononuclear diploid cardiomyocyte frequency. PLoS Genetics. 15(10). e1008354–e1008354. 26 indexed citations
8.
Ren, Rongrong, Shuxian Wu, Jialin Cai, et al.. (2017). The H7N9 influenza A virus infection results in lethal inflammation in the mammalian host via the NLRP3-caspase-1 inflammasome. Scientific Reports. 7(1). 7625–7625. 44 indexed citations
9.
Zhang, Wanju, Di Tian, Fahui Dai, et al.. (2016). Antigenic analysis of the human Influenza A (H3N2) virus during 2012-2015 in Shanghai, China. 30(2). 133–137. 1 indexed citations
10.
Tian, Di, Wei Wei, & Yifei Dong. (2016). Influence of COL1A2 gene variants on the incidence of hypertensive intracerebral hemorrhage in a Chinese population. Genetics and Molecular Research. 15(1). 15 indexed citations
11.
Zhu, Zhaoqin, Yi Liu, Lei Xu, et al.. (2015). Extra-pulmonary viral shedding in H7N9 Avian Influenza patients. Journal of Clinical Virology. 69. 30–32. 20 indexed citations
12.
Zhang, Wanju, Wencai Guan, Di Tian, et al.. (2014). Study on the application of multiplex PCR method and liquid chip technology in the detection of respiratory viruses. 28(4). 302–304. 1 indexed citations
13.
Zhu, Zhaoqin, Yuqin Yang, Yanling Feng, et al.. (2013). Infection of inbred BALB/c and C57BL/6 and outbred Institute of Cancer Research mice with the emerging H7N9 avian influenza virus. Emerging Microbes & Infections. 2(1). 1–7. 14 indexed citations
14.
Qiu, Chao, Songhua Yuan, Di Tian, et al.. (2013). Epidemiologic report and serologic findings for household contacts of three cases of influenza A (H7N9) virus infection. Journal of Clinical Virology. 59(2). 129–131. 7 indexed citations
15.
Qiu, Chao, Yang Huang, Qian Wang, et al.. (2011). Boosting Heterosubtypic Neutralization Antibodies in Recipients of 2009 Pandemic H1N1 Influenza Vaccine. Clinical Infectious Diseases. 54(1). 17–24. 31 indexed citations
16.
Barnard, Zachary R., Pankaj K. Agarwalla, Deva S. Jeyaretna, et al.. (2011). Sporadic primary malignant intracerebral nerve sheath tumors: case report and literature review. Journal of Neuro-Oncology. 104(2). 605–610. 13 indexed citations
17.
Sun, Fuyan, Yunzhi Zhang, Di Tian, et al.. (2011). Responses after one dose of a monovalent influenza A (H1N1) 2009 inactivated vaccine in Chinese population—A practical observation. Vaccine. 29(38). 6527–6531. 3 indexed citations
18.
Qiu, Chao, Di Tian, Yanmin Wan, et al.. (2011). Early Adaptive Humoral Immune Responses and Virus Clearance in Humans Recently Infected with Pandemic 2009 H1N1 Influenza Virus. PLoS ONE. 6(8). e22603–e22603. 12 indexed citations
19.
Tian, Di, Sha Sun, & Jeannie T. Lee. (2010). The Long Noncoding RNA, Jpx, Is a Molecular Switch for X Chromosome Inactivation. Cell. 143(3). 390–403. 399 indexed citations
20.
Vucic, Steve, Di Tian, Peter Siao Tick Chong, et al.. (2006). Facial onset sensory and motor neuronopathy (FOSMN syndrome): a novel syndrome in neurology. Brain. 129(12). 3384–3390. 59 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026