Yunhu Wan

45.0k total citations
30 papers, 718 citations indexed

About

Yunhu Wan is a scholar working on Molecular Biology, Periodontics and Oncology. According to data from OpenAlex, Yunhu Wan has authored 30 papers receiving a total of 718 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 10 papers in Periodontics and 8 papers in Oncology. Recurrent topics in Yunhu Wan's work include Gut microbiota and health (19 papers), Oral microbiology and periodontitis research (10 papers) and Colorectal Cancer Screening and Detection (6 papers). Yunhu Wan is often cited by papers focused on Gut microbiota and health (19 papers), Oral microbiology and periodontitis research (10 papers) and Colorectal Cancer Screening and Detection (6 papers). Yunhu Wan collaborates with scholars based in United States, Iran and Switzerland. Yunhu Wan's co-authors include Austin J. Yang, Ting Chen, Jianxin Shi, Stefani N. Thomas, Xing Hua, Zhongping Liao, Debojyoti Dutta, Peter Davies, Christian C. Abnet and Jeff Kuret and has published in prestigious journals such as Journal of Biological Chemistry, Bioinformatics and PLoS ONE.

In The Last Decade

Yunhu Wan

27 papers receiving 702 citations

Peers

Yunhu Wan
Qingwei Ma China
Brunhilde H. Felding United States
Suruchi Aggarwal India
Ingrid Eftedal Norway
Zhao-Xin Chu China
Yuuki Shiomi Japan
Thomas Froehlich United States
Yuhong Zeng China
Lioudmila V. Loukachevitch United States
Qingwei Ma China
Yunhu Wan
Citations per year, relative to Yunhu Wan Yunhu Wan (= 1×) peers Qingwei Ma

Countries citing papers authored by Yunhu Wan

Since Specialization
Citations

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

Fields of papers citing papers by Yunhu Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yunhu Wan

This figure shows the co-authorship network connecting the top 25 collaborators of Yunhu Wan. A scholar is included among the top collaborators of Yunhu Wan 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 Yunhu Wan. Yunhu Wan 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.
Zouiouich, Sémi, Yunhu Wan, Emily Vogtmann, et al.. (2025). Sample Size Estimations Based on Human Microbiome Temporal Stability Over 6 Months: A Shallow Shotgun Metagenome Sequencing Analysis. Cancer Epidemiology Biomarkers & Prevention. 34(4). 588–597.
2.
Byrd, Doratha A., Maria F. Gomez, Yunhu Wan, et al.. (2025). Effects of a high-fiber, high-fruit and high-vegetable, low-fat dietary intervention on the rectal tissue microbiome. JNCI Journal of the National Cancer Institute. 117(6). 1237–1244.
3.
Vogtmann, Emily, Yukiko Yano, Jianxin Shi, et al.. (2025). The Oral Microbiome and All-Cause Mortality in a US Population-Representative Prospective Cohort. The Journal of Infectious Diseases. 232(4). 790–795.
4.
Byrd, Doratha A., Maria F. Gomez, Ana M. Ortega‐Villa, et al.. (2024). Abstract 2215: Effects of a high-fiber, high-fruit and -vegetable, low-fat dietary intervention on rectal tissue bacteria. Cancer Research. 84(6_Supplement). 2215–2215. 1 indexed citations
5.
Zouiouich, Sémi, Doratha A. Byrd, Xing Hua, et al.. (2023). Stability of the Fecal and Oral Microbiome over 2 Years at −80°C for Multiple Collection Methods. Cancer Epidemiology Biomarkers & Prevention. 32(3). 444–451. 9 indexed citations
6.
Wu, Zeni, Yongli Han, Yunhu Wan, et al.. (2023). Oral microbiome and risk of incident head and neck cancer: A nested case-control study. Oral Oncology. 137. 106305–106305. 14 indexed citations
7.
Yano, Yukiko, Emily Vogtmann, Stephanie J. Weinstein, et al.. (2023). Evaluation of alcohol-free mouthwash for studies of the oral microbiome. PLoS ONE. 18(4). e0284956–e0284956. 4 indexed citations
8.
Byrd, Doratha A., Emily Vogtmann, Ana M. Ortega‐Villa, et al.. (2022). Prospective and Cross-sectional Associations of the Rectal Tissue Microbiome with Colorectal Adenoma Recurrence. Cancer Epidemiology Biomarkers & Prevention. 32(3). 435–443. 1 indexed citations
9.
Goedert, James J., Timothy B. Frankland, Rashmi Sinha, et al.. (2022). Reusing a prepaid health plan’s fecal immunochemical tests for microbiome associations with colorectal adenoma. Scientific Reports. 12(1). 14801–14801. 1 indexed citations
10.
Vogtmann, Emily, Anil K. Chaturvedi, Martin J. Blaser, et al.. (2022). Representative oral microbiome data for the US population: the National Health and Nutrition Examination Survey. The Lancet Microbe. 4(2). e60–e61. 22 indexed citations
11.
Wu, Zeni, Autumn G. Hullings, Reza Ghanbari, et al.. (2021). Comparison of fecal and oral collection methods for studies of the human microbiota in two Iranian cohorts. BMC Microbiology. 21(1). 324–324. 6 indexed citations
12.
Wu, Zeni, Yongli Han, J. Gregory Caporaso, et al.. (2021). Cigarette Smoking and Opium Use in Relation to the Oral Microbiota in Iran. Microbiology Spectrum. 9(2). e0013821–e0013821. 12 indexed citations
13.
Hosgood, H. Dean, Qiuyin Cai, Xing Hua, et al.. (2020). Variation in oral microbiome is associated with future risk of lung cancer among never-smokers. Thorax. 76(3). 256–263. 68 indexed citations
14.
Vogtmann, Emily, Yongli Han, J. Gregory Caporaso, et al.. (2019). Oral microbial community composition is associated with pancreatic cancer: A case‐control study in Iran. Cancer Medicine. 9(2). 797–806. 55 indexed citations
15.
Goedert, James J., Xing Hua, Agata Bielecka‐Dąbrowa, et al.. (2018). Postmenopausal breast cancer and oestrogen associations with the IgA-coated and IgA-noncoated faecal microbiota. British Journal of Cancer. 118(4). 471–479. 106 indexed citations
16.
Liao, Zhongping, Barbara Dziegielewska, Stefani N. Thomas, et al.. (2012). Phosphorylation of Serine 51 Regulates the Interaction of Human DNA Ligase I with Replication Factor C and Its Participation in DNA Replication and Repair. Journal of Biological Chemistry. 287(44). 36711–36719. 11 indexed citations
17.
Thomas, Stefani N., Yunhu Wan, Zhongping Liao, Phyllis I. Hanson, & Austin J. Yang. (2011). Stable Isotope Labeling with Amino Acids in Cell Culture Based Mass Spectrometry Approach to Detect Transient Protein Interactions Using Substrate Trapping. Analytical Chemistry. 83(14). 5511–5518. 7 indexed citations
18.
Thomas, Stefani N., Kristen E. Funk, Yunhu Wan, et al.. (2011). Dual modification of Alzheimer’s disease PHF-tau protein by lysine methylation and ubiquitylation: a mass spectrometry approach. Acta Neuropathologica. 123(1). 105–117. 96 indexed citations
19.
Miller, John H., Shuangshuang Jin, W.F. Morgan, et al.. (2008). Profiling Mitochondrial Proteins in Radiation-Induced Genome-Unstable Cell Lines with Persistent Oxidative Stress by Mass Spectrometry. Radiation Research. 169(6). 700–706. 17 indexed citations
20.
Wan, Yunhu, Stefani N. Thomas, Patricia Campbell, et al.. (2008). PhosphoScan: A Probability-Based Method for Phosphorylation Site Prediction Using MS2/MS3 Pair Information. Journal of Proteome Research. 7(7). 2803–2811. 29 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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