Guifen He

1.4k total citations
20 papers, 398 citations indexed

About

Guifen He is a scholar working on Molecular Biology, Plant Science and Oncology. According to data from OpenAlex, Guifen He has authored 20 papers receiving a total of 398 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 10 papers in Plant Science and 5 papers in Oncology. Recurrent topics in Guifen He's work include Genomics and Phylogenetic Studies (4 papers), Fungal Biology and Applications (4 papers) and Cancer, Hypoxia, and Metabolism (3 papers). Guifen He is often cited by papers focused on Genomics and Phylogenetic Studies (4 papers), Fungal Biology and Applications (4 papers) and Cancer, Hypoxia, and Metabolism (3 papers). Guifen He collaborates with scholars based in United States, China and France. Guifen He's co-authors include Geoffrey M. Wahl, Shelya X. Zeng, Hua Lu, Yunyuan V. Wang, Lan Wang, Igor V. Grigoriev, Pingzhao Zhang, Benoı̂t Viollet, Zhijun Luo and Xiaochen Dong and has published in prestigious journals such as Journal of Biological Chemistry, Molecular and Cellular Biology and Annals of Oncology.

In The Last Decade

Guifen He

20 papers receiving 388 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guifen He United States 12 217 94 90 61 61 20 398
Isabelle Louis Canada 14 193 0.9× 225 2.4× 54 0.6× 42 0.7× 49 0.8× 27 622
Xuhong Zhao China 13 209 1.0× 184 2.0× 31 0.3× 78 1.3× 42 0.7× 34 552
Huimin Meng China 10 265 1.2× 106 1.1× 111 1.2× 67 1.1× 23 0.4× 14 457
Jamie Crawford United States 10 139 0.6× 308 3.3× 60 0.7× 62 1.0× 107 1.8× 21 560
Yue Qi China 13 219 1.0× 125 1.3× 130 1.4× 52 0.9× 12 0.2× 39 587
Claudia M.A. Pinna Italy 9 187 0.9× 92 1.0× 55 0.6× 84 1.4× 10 0.2× 18 365
Cao China 12 219 1.0× 126 1.3× 78 0.9× 29 0.5× 19 0.3× 61 511
Coralie Damon France 6 205 0.9× 99 1.1× 53 0.6× 93 1.5× 17 0.3× 7 485
Xuehua Kong China 9 153 0.7× 38 0.4× 73 0.8× 29 0.5× 41 0.7× 11 382

Countries citing papers authored by Guifen He

Since Specialization
Citations

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

Fields of papers citing papers by Guifen He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guifen He

This figure shows the co-authorship network connecting the top 25 collaborators of Guifen He. A scholar is included among the top collaborators of Guifen He 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 Guifen He. Guifen He 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.
Greenblum, Sharon, Abraham Morales‐Cruz, Peng Wang, et al.. (2025). Recruitment, rewiring and deep conservation in flowering plant gene regulation. Nature Plants. 11(8). 1514–1527. 3 indexed citations
2.
Chovatia, Mansi, Rob Egan, Guifen He, et al.. (2023). Integrating chromatin conformation information in a self-supervised learning model improves metagenome binning. PeerJ. 11. e16129–e16129. 1 indexed citations
3.
Dong, Jinping, Xu Cheng, Jie Hu, et al.. (2022). Biological characteristics and whole-genome analysis of the potential probiotic, Lactobacillus reuteri S5. Letters in Applied Microbiology. 74(4). 593–603. 8 indexed citations
4.
Brown, Jennifer L., Candice L. Swift, Stephen J. Mondo, et al.. (2021). Co‑cultivation of the anaerobic fungus Caecomyces churrovis with Methanobacterium bryantii enhances transcription of carbohydrate binding modules, dockerins, and pyruvate formate lyases on specific substrates. Biotechnology for Biofuels. 14(1). 234–234. 25 indexed citations
5.
Goethem, Marc W. Van, Benjamin P. Bowen, Peter Andeer, et al.. (2021). Long-read metagenomics of soil communities reveals phylum-specific secondary metabolite dynamics. Communications Biology. 4(1). 1302–1302. 35 indexed citations
6.
Heeger, Felix, Elizabeth C. Bourne, Christian Wurzbacher, et al.. (2021). Evidence for Lignocellulose-Decomposing Enzymes in the Genome and Transcriptome of the Aquatic Hyphomycete Clavariopsis aquatica. Journal of Fungi. 7(10). 854–854. 7 indexed citations
7.
Zhang, Jingcheng, Nan Shen, Chuang Li, et al.. (2021). Population genomics provides insights into the genetic basis of adaptive evolution in the mushroom-forming fungus Lentinula edodes. Journal of Advanced Research. 38. 91–106. 27 indexed citations
8.
Plett, Krista L., Annegret Kohler, Teresa Lebel, et al.. (2020). Intra‐species genetic variability drives carbon metabolism and symbiotic host interactions in the ectomycorrhizal fungus Pisolithus microcarpus. Environmental Microbiology. 23(4). 2004–2020. 16 indexed citations
9.
Steindorff, Andrei Stecca, Akiko Carver, Sara Calhoun, et al.. (2020). Comparative genomics of pyrophilous fungi reveals a link between fire events and developmental genes. Environmental Microbiology. 23(1). 99–109. 20 indexed citations
11.
Kowalczyk, Joanna E., Evy Battaglia, María Victoria Aguilar Pontes, et al.. (2019). Transcriptome analysis of Aspergillus niger xlnR and xkiA mutants grown on corn Stover and soybean hulls reveals a highly complex regulatory network. BMC Genomics. 20(1). 853–853. 8 indexed citations
12.
Urquhart, Andrew S., Stephen J. Mondo, Miia Mäkelä, et al.. (2018). Genomic and Genetic Insights Into a Cosmopolitan Fungus, Paecilomyces variotii (Eurotiales). Frontiers in Microbiology. 9. 3058–3058. 27 indexed citations
13.
Raudabaugh, Daniel B., Teresa Iturriaga, Akiko Carver, et al.. (2017). Coniella lustricola, a new species from submerged detritus. Mycological Progress. 17(1-2). 191–203. 9 indexed citations
14.
Wang, Qihong, et al.. (2016). Method for in vitro differentiation of bone marrow mesenchymal stem cells into endothelial progenitor cells and vascular endothelial cells. Molecular Medicine Reports. 14(6). 5551–5555. 13 indexed citations
15.
He, Guifen, Jun‐Ho Lee, Shelya X. Zeng, et al.. (2013). AMP-Activated Protein Kinase Induces p53 by Phosphorylating MDMX and Inhibiting Its Activity. Molecular and Cellular Biology. 34(2). 148–157. 86 indexed citations
16.
Jin, Yetao, Guifen He, Shelya X. Zeng, et al.. (2012). Hypoxia Activates Tumor Suppressor p53 by Inducing ATR-Chk1 Kinase Cascade-mediated Phosphorylation and Consequent 14-3-3γ Inactivation of MDMX Protein. Journal of Biological Chemistry. 287(25). 20898–20903. 22 indexed citations
17.
He, Guifen, Qian Wang, Yuqi Zhou, et al.. (2011). YY1 Is a Novel Potential Therapeutic Target for the Treatment of HPV Infection-Induced Cervical Cancer by Arsenic Trioxide. International Journal of Gynecological Cancer. 21(6). 1097–1104. 24 indexed citations
18.
Wang, Lan, Guifen He, Pingzhao Zhang, et al.. (2010). Interplay between MDM2, MDMX, Pirh2 and COP1: the negative regulators of p53. Molecular Biology Reports. 38(1). 229–236. 46 indexed citations
19.
Xiao, Shudong, Dehua Li, Xiaoting Zhu, et al.. (1997). Multicenter randomized study on Me-CCNU, 5-FU and ADMvsACNU, 5-FU and ADM for treatment of advanced gastric cancer. World Journal of Gastroenterology. 3(4). 238–238. 1 indexed citations
20.
He, Guifen, et al.. (1988). A Phase II Clinical Trial of Flutamide in the Treatment of Advanced Breast Cancer. Tumori Journal. 74(1). 53–56. 14 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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