Huahu Guo

3.9k total citations · 2 hit papers
25 papers, 2.6k citations indexed

About

Huahu Guo is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Huahu Guo has authored 25 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 12 papers in Cancer Research and 9 papers in Oncology. Recurrent topics in Huahu Guo's work include Epigenetics and DNA Methylation (8 papers), Pancreatic and Hepatic Oncology Research (7 papers) and RNA modifications and cancer (7 papers). Huahu Guo is often cited by papers focused on Epigenetics and DNA Methylation (8 papers), Pancreatic and Hepatic Oncology Research (7 papers) and RNA modifications and cancer (7 papers). Huahu Guo collaborates with scholars based in China, Germany and United States. Huahu Guo's co-authors include Jirun Peng, Ming-Hui Dong, Jae‐Kwang Yoo, Qiming Zhang, Boxi Kang, Ruozhen Hu, Xinyi Guo, Julie Y. Huang, Chunhong Zheng and Xueda Hu and has published in prestigious journals such as Cell, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Huahu Guo

23 papers receiving 2.6k citations

Hit Papers

Landscape of Infiltrating T Cells in Liver Cancer Reveale... 2016 2026 2019 2022 2017 2016 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Huahu Guo China 15 1.5k 1.1k 946 885 333 25 2.6k
Sudarshan Anand United States 22 1.1k 0.8× 793 0.7× 686 0.7× 726 0.8× 173 0.5× 44 2.3k
Christine Kuo United States 28 1.7k 1.1× 1.6k 1.5× 808 0.9× 1.2k 1.3× 287 0.9× 39 3.1k
Ann Cleverly United States 25 1.3k 0.9× 1.5k 1.4× 530 0.6× 428 0.5× 333 1.0× 54 2.6k
Huaxiang Xu China 23 735 0.5× 1.0k 0.9× 662 0.7× 477 0.5× 281 0.8× 54 2.1k
Kris Ylaya United States 25 1.0k 0.7× 816 0.8× 444 0.5× 527 0.6× 362 1.1× 45 2.0k
Won Jin Ho United States 18 612 0.4× 1.3k 1.2× 629 0.7× 438 0.5× 340 1.0× 59 2.1k
Antonella Argentiero Italy 23 596 0.4× 794 0.7× 406 0.4× 427 0.5× 326 1.0× 48 1.6k
Li-Chuan Chan Taiwan 17 965 0.6× 1.2k 1.1× 779 0.8× 406 0.5× 425 1.3× 27 2.1k
Jonathan J. Havel United States 13 825 0.6× 1.9k 1.7× 1.1k 1.1× 493 0.6× 683 2.1× 14 2.7k
Hee Jung An South Korea 27 1.3k 0.8× 818 0.8× 286 0.3× 766 0.9× 382 1.1× 76 2.5k

Countries citing papers authored by Huahu Guo

Since Specialization
Citations

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

Fields of papers citing papers by Huahu Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huahu Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Huahu Guo. A scholar is included among the top collaborators of Huahu Guo 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 Huahu Guo. Huahu Guo 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
3.
Ge, Penglei, Zhengfeng Wang, Jing Wang, et al.. (2024). Identifying drug candidates for pancreatic ductal adenocarcinoma based on integrative multiomics analysis. Journal of Gastrointestinal Oncology. 15(3). 1265–1281. 1 indexed citations
4.
Guo, Huahu, et al.. (2024). A Predictive Model Based on the FBXO Family Reveals the Significance of Cyclin F in Hepatocellular Carcinoma. Frontiers in Bioscience-Landmark. 29(5). 202–202. 1 indexed citations
5.
Guo, Huahu, et al.. (2023). The Role of C-reactive Protein and Procalcitonin in Predicting the Occurrence of Pancreatic Fistula in Patients who Underwent Laparoscopic Pancreaticoduodenectomy: a Retrospective Study. Zentralblatt für Chirurgie - Zeitschrift für Allgemeine Viszeral- Thorax- und Gefäßchirurgie. 148(6). 508–515. 1 indexed citations
6.
Li, Suxin, et al.. (2022). Prognostic prediction and immune infiltration analysis based on ferroptosis and EMT state in hepatocellular carcinoma. Frontiers in Immunology. 13. 1076045–1076045. 14 indexed citations
7.
Wang, Yazhou, et al.. (2021). Inhibition of bone morphogenetic protein receptor 2 suppresses pancreatic ductal adenocarcinoma growth by regulating GRB2/ PI3K/AKT axis. Annals of Translational Medicine. 9(7). 557–557. 8 indexed citations
8.
Chen, Kai, Mingzhe Li, Huahu Guo, et al.. (2021). Single-cell RNA-seq reveals dynamic change in tumor microenvironment during pancreatic ductal adenocarcinoma malignant progression. EBioMedicine. 66. 103315–103315. 159 indexed citations
9.
Li, Mingzhe, Huahu Guo, Qi Wang, et al.. (2020). Pancreatic stellate cells derived exosomal miR-5703 promotes pancreatic cancer by downregulating CMTM4 and activating PI3K/Akt pathway. Cancer Letters. 490. 20–30. 77 indexed citations
10.
Guo, Huahu, et al.. (2020). High mobility group AT-hook 2 promotes tumorigenicity of pancreatic cancer cells via upregulating ANLN. Experimental Cell Research. 393(1). 112088–112088. 9 indexed citations
11.
Chen, Kai, Mingzhe Li, Huahu Guo, et al.. (2020). Single-Cell RNA-Seq Reveals Dynamic Change in Tumor Microenvironment During Pancreatic Ductal Adenocarcinoma Malignant Progression. SSRN Electronic Journal. 4 indexed citations
12.
Zhang, Zhengkui, Huahu Guo, Feng Wang, et al.. (2019). BRM transcriptionally regulates miR-302a-3p to target SOCS5/STAT3 signaling axis to potentiate pancreatic cancer metastasis. Cancer Letters. 449. 215–225. 27 indexed citations
13.
Liu, Xiaomeng, Jie Ren, Nan Luo, et al.. (2019). Comprehensive DNA methylation analysis of tissue of origin of plasma cell-free DNA by methylated CpG tandem amplification and sequencing (MCTA-Seq). Clinical Epigenetics. 11(1). 93–93. 52 indexed citations
15.
Liu, Yang, et al.. (2017). In vivo response of AZ31 alloy as biliary stents: a 6 months evaluation in rabbits. Scientific Reports. 7(1). 40184–40184. 26 indexed citations
16.
Ma, Ling, Xiaodong Tian, Huahu Guo, et al.. (2017). Long noncoding RNA H19 derived miR-675 regulates cell proliferation by down-regulating E2F-1 in human pancreatic ductal adenocarcinoma. Journal of Cancer. 9(2). 389–399. 47 indexed citations
17.
Wang, Yazhou, Huahu Guo, Dafang Zhang, et al.. (2016). Overexpression of SOX18 correlates with accelerated cell growth and poor prognosis in human pancreatic ductal adenocarcinoma. Biochemical and Biophysical Research Communications. 479(3). 510–516. 16 indexed citations
18.
Hou, Yu, Huahu Guo, Chen Cao, et al.. (2016). Single-cell triple omics sequencing reveals genetic, epigenetic, and transcriptomic heterogeneity in hepatocellular carcinomas. Cell Research. 26(3). 304–319. 456 indexed citations breakdown →
19.
Song, Wei, Xin Xiong, Xianhua Zhang, et al.. (2016). The decreased N6-methyladenine DNA modification in cancer cells. Biochemical and Biophysical Research Communications. 480(1). 120–125. 30 indexed citations
20.
Wen, Lu, Jingyi Li, Huahu Guo, et al.. (2015). Genome-scale detection of hypermethylated CpG islands in circulating cell-free DNA of hepatocellular carcinoma patients. Cell Research. 25(11). 1250–1264. 105 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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