Yiping He

9.9k total citations · 1 hit paper
70 papers, 4.4k citations indexed

About

Yiping He is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Yiping He has authored 70 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Molecular Biology, 14 papers in Cancer Research and 12 papers in Oncology. Recurrent topics in Yiping He's work include Epigenetics and DNA Methylation (8 papers), Developmental Biology and Gene Regulation (6 papers) and Cancer Genomics and Diagnostics (5 papers). Yiping He is often cited by papers focused on Epigenetics and DNA Methylation (8 papers), Developmental Biology and Gene Regulation (6 papers) and Cancer Genomics and Diagnostics (5 papers). Yiping He collaborates with scholars based in United States, China and Germany. Yiping He's co-authors include Kenneth W. Kinzler, Bert Vogelstein, Victor E. Velculescu, Nickolas Papadopoulos, Daniel Shelver, Devin Dressman, Warren S. Pear, Luis A. Díaz, Robert L. Kerby and Lanwei Xu and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Yiping He

66 papers receiving 4.4k citations

Hit Papers

The colorectal microRNAome 2006 2026 2012 2019 2006 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yiping He United States 25 3.1k 1.4k 556 398 388 70 4.4k
Min Sup Song United States 25 4.2k 1.3× 1.5k 1.0× 1.1k 2.0× 408 1.0× 733 1.9× 53 5.3k
Stefan J. Erkeland Netherlands 25 3.2k 1.0× 2.5k 1.7× 374 0.7× 496 1.2× 136 0.4× 57 4.1k
Lizi Wu United States 33 2.9k 0.9× 727 0.5× 1.2k 2.2× 361 0.9× 252 0.6× 66 4.3k
Zhijie Chang China 40 3.4k 1.1× 829 0.6× 847 1.5× 537 1.3× 530 1.4× 148 4.7k
Long‐Yuan Li Taiwan 29 2.5k 0.8× 622 0.4× 976 1.8× 313 0.8× 240 0.6× 79 3.5k
Vladimir Bezrookove United States 28 2.1k 0.7× 724 0.5× 1.0k 1.8× 464 1.2× 405 1.0× 48 3.3k
Andrei Thomas‐Tikhonenko United States 35 4.5k 1.4× 2.9k 2.0× 1.2k 2.1× 700 1.8× 311 0.8× 81 6.0k
Carla Grandori United States 30 5.1k 1.6× 1.1k 0.7× 1.7k 3.0× 495 1.2× 551 1.4× 63 6.4k
Kunxin Luo United States 38 5.0k 1.6× 739 0.5× 1.2k 2.1× 461 1.2× 556 1.4× 57 6.2k
Guidalberto Manfioletti Italy 43 4.4k 1.4× 1.7k 1.2× 862 1.6× 1000 2.5× 319 0.8× 107 6.9k

Countries citing papers authored by Yiping He

Since Specialization
Citations

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

Fields of papers citing papers by Yiping He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yiping He

This figure shows the co-authorship network connecting the top 25 collaborators of Yiping He. A scholar is included among the top collaborators of Yiping 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 Yiping He. Yiping 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.
2.
Jin, Chen, David Moon, Hong Zhang, et al.. (2025). Resilience and Vulnerabilities of Tumor Cells under Purine Shortage Stress. Clinical Cancer Research. 31(20). 4345–4360.
3.
4.
Chen, Ke, Qi Dou, Yiping He, et al.. (2024). IPNet: An Interpretable Network With Progressive Loss for Whole-Stage Colorectal Disease Diagnosis. IEEE Transactions on Medical Imaging. 44(2). 789–800. 1 indexed citations
5.
Moon, David, Mu‐En Wang, Yue Zhao, et al.. (2024). Heat shock factor 1 directly regulates transsulfuration pathway to promote prostate cancer proliferation and survival. Communications Biology. 7(1). 9–9. 5 indexed citations
6.
Liu, Heng, Cheng Xu, Bill H. Diplas, et al.. (2023). Cancer-associated SMARCAL1 loss-of-function mutations promote alternative lengthening of telomeres and tumorigenesis in telomerase-negative glioblastoma cells. Neuro-Oncology. 25(9). 1563–1575. 11 indexed citations
7.
Butler, William, Lingfan Xu, Yinglu Zhou, et al.. (2023). Oncofetal protein glypican‐3 is a biomarker and critical regulator of function for neuroendocrine cells in prostate cancer. The Journal of Pathology. 260(1). 43–55. 10 indexed citations
8.
Moon, David, Lingfan Xu, Fan Zhang, et al.. (2023). Targeting glutamine dependence with DRP‐104 inhibits proliferation and tumor growth of castration‐resistant prostate cancer. The Prostate. 84(4). 349–357. 6 indexed citations
9.
Butler, William, Qing Yang, Yiping He, et al.. (2023). Rewiring of the N-Glycome with prostate cancer progression and therapy resistance. npj Precision Oncology. 7(1). 22–22. 14 indexed citations
10.
Dong, Meichen, Yiping He, Yuchao Jiang, & Fei Zou. (2022). Joint Gene Network Construction by Single-Cell RNA Sequencing Data. Biometrics. 79(2). 915–925. 1 indexed citations
11.
Wang, Zhaohui, Cheng Xu, Bill H. Diplas, et al.. (2020). Targeting Mutant PPM1D Sensitizes Diffuse Intrinsic Pontine Glioma Cells to the PARP Inhibitor Olaparib. Molecular Cancer Research. 18(7). 968–980. 19 indexed citations
12.
Moure, Casey J., Bill H. Diplas, Lee H. Chen, et al.. (2019). CRISPR Editing of Mutant IDH1 R132H Induces a CpG Methylation-Low State in Patient-Derived Glioma Models of G-CIMP. Molecular Cancer Research. 17(10). 2042–2050. 17 indexed citations
13.
Yang, Rui, Lee H. Chen, Landon J. Hansen, et al.. (2017). Cic Loss Promotes Gliomagenesis via Aberrant Neural Stem Cell Proliferation and Differentiation. Cancer Research. 77(22). 6097–6108. 33 indexed citations
14.
Waitkus, Matthew S., Christopher J. Pirozzi, Casey J. Moure, et al.. (2017). Adaptive Evolution of the GDH2 Allosteric Domain Promotes Gliomagenesis by Resolving IDH1R132H-Induced Metabolic Liabilities. Cancer Research. 78(1). 36–50. 33 indexed citations
15.
Cummins, Jordan M., Yiping He, Rebecca Leary, et al.. (2006). The colorectal microRNAome. Proceedings of the National Academy of Sciences. 103(10). 3687–3692. 757 indexed citations breakdown →
16.
Keeshan, Karen, Yiping He, Bas J. Wouters, et al.. (2006). Tribbles homolog 2 inactivates C/EBPα and causes acute myelogenous leukemia. Cancer Cell. 10(5). 401–411. 195 indexed citations
17.
Eagar, Todd N., Qizhi Tang, Michael S. Wolfe, et al.. (2004). Notch 1 Signaling Regulates Peripheral T Cell Activation. Immunity. 20(4). 407–415. 129 indexed citations
18.
Liu, Yanxin, Yiping He, Jin Zhang, et al.. (2003). Tyrosine Mutation in CD3ε–ITAM Blocked T Lymphocyte Apoptosis Mediated by CD3ε. Immunological Investigations. 32(1-2). 59–70. 4 indexed citations
19.
Wertheim, Jason A., Juli P. Miller, Lanwei Xu, Yiping He, & Warren S. Pear. (2002). The biology of chronic myelogenous leukemia:mouse models and cell adhesion. Oncogene. 21(56). 8612–8628. 19 indexed citations
20.
Izon, David J., Jon C. Aster, Yiping He, et al.. (2002). Deltex1 Redirects Lymphoid Progenitors to the B Cell Lineage by Antagonizing Notch1. Immunity. 16(2). 231–243. 211 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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