Hui‐Hui Tu

513 total citations
21 papers, 399 citations indexed

About

Hui‐Hui Tu is a scholar working on Molecular Biology, Epidemiology and Cancer Research. According to data from OpenAlex, Hui‐Hui Tu has authored 21 papers receiving a total of 399 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 10 papers in Epidemiology and 7 papers in Cancer Research. Recurrent topics in Hui‐Hui Tu's work include Tuberculosis Research and Epidemiology (6 papers), Metabolomics and Mass Spectrometry Studies (4 papers) and RNA modifications and cancer (4 papers). Hui‐Hui Tu is often cited by papers focused on Tuberculosis Research and Epidemiology (6 papers), Metabolomics and Mass Spectrometry Studies (4 papers) and RNA modifications and cancer (4 papers). Hui‐Hui Tu collaborates with scholars based in China, United States and Canada. Hui‐Hui Tu's co-authors include Ji‐Cheng Li, Changming Liu, Su Yang, Liying Shi, Tingting Jiang, Ke‐Qin Zhang, Liliang Wei, Yuting Hu, Nan Tao and Cheng‐Gang Zou and has published in prestigious journals such as PLoS ONE, Scientific Reports and The FASEB Journal.

In The Last Decade

Hui‐Hui Tu

20 papers receiving 398 citations

Peers

Hui‐Hui Tu
Yu‐Chih Yang Taiwan
Yanting Wu China
Qingwen Zhang China
Roelien A. M. Meijering Netherlands
Lianzhou Huang China
Gemma Pérez‐Vilaró Spain
J.‐H. Wang China
Masayuki Arii Japan
Yu‐Chih Yang Taiwan
Hui‐Hui Tu
Citations per year, relative to Hui‐Hui Tu Hui‐Hui Tu (= 1×) peers Yu‐Chih Yang

Countries citing papers authored by Hui‐Hui Tu

Since Specialization
Citations

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

Fields of papers citing papers by Hui‐Hui Tu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hui‐Hui Tu. 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 Hui‐Hui Tu. The network helps show where Hui‐Hui Tu may publish in the future.

Co-authorship network of co-authors of Hui‐Hui Tu

This figure shows the co-authorship network connecting the top 25 collaborators of Hui‐Hui Tu. A scholar is included among the top collaborators of Hui‐Hui Tu 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 Hui‐Hui Tu. Hui‐Hui Tu 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.
Deng, Feng, et al.. (2023). Pulmonary tuberculosis biomarker miR-215-5p inhibits autophagosome-lysosome fusion in macrophages. Tuberculosis. 143. 102422–102422. 3 indexed citations
2.
Li, Zhibin, Liying Shi, Jing Chen, et al.. (2022). Pyridoxal phosphate, pyridoxamine phosphate, and folic acid based on ceRNA regulatory network as potential biomarkers for the diagnosis of pulmonary tuberculosis. Infection Genetics and Evolution. 99. 105240–105240. 8 indexed citations
3.
Wen, Qiaodong, et al.. (2022). [Associations between multimorbidity patterns of 4 chronic diseases and physical activity with all-cause mortality].. PubMed. 43(12). 1952–1958. 1 indexed citations
4.
Chen, Jing, Zhibin Li, Tingting Jiang, et al.. (2020). Screening of potential biomarkers for Yin‐deficiency‐heat syndrome based on UHPLC–MS method and the mechanism of Zhibai Dihuang granule therapeutic effect. The Anatomical Record. 303(8). 2095–2108. 10 indexed citations
5.
Jiang, Tingting, Hui‐Hui Tu, Liliang Wei, et al.. (2020). Serum proteins TGFBI, PCSK9, and CCL14 are potential biomarkers for different traditional Chinese medicine syndromes of multidrug‐resistant tuberculosis. The Anatomical Record. 303(8). 2131–2143. 4 indexed citations
6.
Gan, Lin, Tingting Jiang, Changming Liu, et al.. (2020). Study on potential biomarkers of energy metabolism‐related to early‐stage Yin‐deficiency‐heat syndrome based on metabolomics and transcriptomics. The Anatomical Record. 303(8). 2109–2120. 13 indexed citations
7.
Chen, Jing, Tingting Jiang, Changming Liu, et al.. (2020). A group of serum proteins as potential diagnostic biomarkers for Yin‐deficiency‐heat syndrome. The Anatomical Record. 303(8). 2086–2094. 8 indexed citations
8.
Wei, Liliang, Liying Shi, Huai Huang, et al.. (2019). l-Histidine, arachidonic acid, biliverdin, and l-cysteine-glutathione disulfide as potential biomarkers for cured pulmonary tuberculosis. Biomedicine & Pharmacotherapy. 116. 108980–108980. 30 indexed citations
9.
Huang, Huai, Liying Shi, Liliang Wei, et al.. (2019). Plasma metabolites Xanthine, 4-Pyridoxate, and d-glutamic acid as novel potential biomarkers for pulmonary tuberculosis. Clinica Chimica Acta. 498. 135–142. 21 indexed citations
10.
Jiang, Tingting, Liying Shi, Jing Chen, et al.. (2018). Screening and identification of potential protein biomarkers for evaluating the efficacy of intensive therapy in pulmonary tuberculosis. Biochemical and Biophysical Research Communications. 503(4). 2263–2270. 7 indexed citations
11.
Liu, Changming, Jing Chen, Su Yang, et al.. (2018). iTRAQ-based proteomic analysis to identify the molecular mechanism of Zhibai Dihuang Granule in the Yin-deficiency-heat syndrome rats. Chinese Medicine. 13(1). 2–2. 17 indexed citations
12.
Liu, Changming, Jing Chen, Su Yang, et al.. (2018). The Chinese herbal formula Zhibai Dihuang Granule treat Yin-deficiency-heat syndrome rats by regulating the immune responses. Journal of Ethnopharmacology. 225. 271–278. 20 indexed citations
13.
Wang, Chong, Su Yang, Changming Liu, et al.. (2018). Screening and identification of four serum miRNAs as novel potential biomarkers for cured pulmonary tuberculosis. The FASEB Journal. 32(S1).
14.
Wang, Chong, Su Yang, Changming Liu, et al.. (2017). Screening and identification of four serum miRNAs as novel potential biomarkers for cured pulmonary tuberculosis. Tuberculosis. 108. 26–34. 46 indexed citations
15.
Jiang, Tingting, Liying Shi, Liliang Wei, et al.. (2017). Serum amyloid A, protein Z, and C4b-binding protein β chain as new potential biomarkers for pulmonary tuberculosis. PLoS ONE. 12(3). e0173304–e0173304. 32 indexed citations
16.
Chen, Zhongliang, Liliang Wei, Liying Shi, et al.. (2017). Screening and identification of lncRNAs as potential biomarkers for pulmonary tuberculosis. Scientific Reports. 7(1). 16751–16751. 36 indexed citations
17.
Dai, Rui, Zirui Huang, Hui‐Hui Tu, et al.. (2016). Interplay between Heightened Temporal Variability of Spontaneous Brain Activity and Task-Evoked Hyperactivation in the Blind. Frontiers in Human Neuroscience. 10. 632–632. 5 indexed citations
18.
Zou, Cheng‐Gang, Nan Tao, Wenjing Liu, et al.. (2010). Regulation of subtilisin‐like protease prC expression by nematode cuticle in the nematophagous fungus Clonostachys rosea. Environmental Microbiology. 12(12). 3243–3252. 36 indexed citations
19.
Zou, Cheng‐Gang, Wenjing Liu, Wei Zhou, et al.. (2010). Expression of a Serine Protease Gene prC Is Up-Regulated by Oxidative Stress in the Fungus Clonostachys rosea: Implications for Fungal Survival. PLoS ONE. 5(10). e13386–e13386. 20 indexed citations
20.
Zou, Cheng‐Gang, Hui‐Hui Tu, Xianyong Liu, Nan Tao, & Ke‐Qin Zhang. (2010). PacC in the nematophagous fungus Clonostachys rosea controls virulence to nematodes. Environmental Microbiology. 12(7). 1868–1877. 39 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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