Hong Wu

11.2k total citations · 4 hit papers
102 papers, 7.5k citations indexed

About

Hong Wu is a scholar working on Oncology, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Hong Wu has authored 102 papers receiving a total of 7.5k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Oncology, 31 papers in Molecular Biology and 18 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Hong Wu's work include Immunotherapy and Immune Responses (7 papers), Cancer Immunotherapy and Biomarkers (6 papers) and Epigenetics and DNA Methylation (6 papers). Hong Wu is often cited by papers focused on Immunotherapy and Immune Responses (7 papers), Cancer Immunotherapy and Biomarkers (6 papers) and Epigenetics and DNA Methylation (6 papers). Hong Wu collaborates with scholars based in United States, China and South Korea. Hong Wu's co-authors include Katharina Schlacher, Maria Jasin, J. Thomas Parsons, Nicolas Siaud, Akinori Egashira, Nicole Christ, Andres J. Klein–Szanto, Stuart R. Lessin, Rafi Ahmed and Rama Akondy and has published in prestigious journals such as Science, New England Journal of Medicine and Cell.

In The Last Decade

Hong Wu

101 papers receiving 7.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Double-Strand Break Repair-Independent Role for BRCA2 in Blocking Stalled Replication Fork Degradation by MRE11

2011 968 citations Hong Wu et al. profile →
A Distinct Replication Fork Protection Pathway Connects Fanconi Anemia Tumor Suppressors to RAD51-BRCA1/2

2012 721 citations Hong Wu et al. profile →
Proliferation of PD-1+ CD8 T cells in peripheral blood after PD-1–targeted therapy in lung cancer patients

2017 582 citations Rama Akondy, Hong Wu et al. profile →
A Prospective, Multi-institutional, Pathologist-Based Assessment of 4 Immunohistochemistry Assays for PD-L1 Expression in Non–Small Cell Lung Cancer

2017 576 citations Hong Wu et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hong Wu United States	39	3.7k	3.2k	1.2k	947	904	102	7.5k
Stefania Staibano Italy	43	2.8k 0.7×	2.4k 0.8×	730 0.6×	689 0.7×	415 0.5×	229	6.5k
Robert Folberg United States	46	3.8k 1.0×	2.4k 0.8×	800 0.7×	1.4k 1.5×	716 0.8×	191	8.8k
Joost J. van den Oord Belgium	48	2.8k 0.7×	1.9k 0.6×	1.8k 1.5×	1.3k 1.4×	658 0.7×	167	7.8k
Robert L. Yauch United States	40	6.9k 1.9×	3.2k 1.0×	1.1k 1.0×	1.2k 1.2×	567 0.6×	70	10.2k
Helmut Hanenberg Germany	48	6.0k 1.6×	2.0k 0.6×	1.6k 1.3×	1.3k 1.3×	663 0.7×	195	9.4k
Scott R. Granter United States	47	4.5k 1.2×	2.6k 0.8×	953 0.8×	1.3k 1.4×	2.0k 2.2×	141	9.5k
Renato Franco Italy	50	3.4k 0.9×	3.4k 1.1×	1.1k 0.9×	1.6k 1.7×	349 0.4×	324	8.2k
Xiaowei Xu United States	53	4.7k 1.3×	4.9k 1.5×	2.7k 2.2×	1.9k 2.0×	931 1.0×	202	9.8k
Ulrich Schwab United Kingdom	13	2.2k 0.6×	2.1k 0.7×	1.4k 1.1×	1.1k 1.1×	386 0.4×	32	7.3k
Parkash S. Gill United States	52	3.2k 0.9×	3.2k 1.0×	1.2k 1.0×	744 0.8×	947 1.0×	165	8.2k

Countries citing papers authored by Hong Wu

Since Specialization

Citations

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

Fields of papers citing papers by Hong Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hong Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Hong Wu. A scholar is included among the top collaborators of Hong Wu 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 Hong Wu. Hong Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Yang, Xiaojuan, Jiang Zhu, Tao Xue, et al.. (2025). Challenges and opportunities for the diverse substrates of SPOP E3 ubiquitin ligase in cancer. Theranostics. 15(13). 6111–6145. 1 indexed citations

Liao, Minlei, Yuan Yang, Junjie Huang, et al.. (2024). 966P Borderline resectable hepatocellular carcinoma: Definitions, efficacy and safety results from a prospective phase Ib/II study evaluating camrelizumab plus lenvatinib combined with TACE as preoperative therapy (BRHCC). Annals of Oncology. 35. S664–S665. 2 indexed citations

Shu, Chi, Qian Yang, Jun Huang, et al.. (2024). Pretreatment plasma vitamin D and response to neoadjuvant chemotherapy in breast cancer: evidence from pooled analysis of cohort studies. International Journal of Surgery. 110(12). 8126–8135. 7 indexed citations

Zhu, Jiang, Denghui Wang, Chang Liu, et al.. (2023). Development and validation of a new prognostic immune–inflammatory–nutritional score for predicting outcomes after curative resection for intrahepatic cholangiocarcinoma: A multicenter study. Frontiers in Immunology. 14. 1165510–1165510. 31 indexed citations

Zhang, Jingwei, Zhiqiang Cai, Chen Chen, et al.. (2023). A Bayesian Network Prediction Model for Microvascular Invasion in Patients with Intrahepatic Cholangiocarcinoma: A Multi‐institutional Study. World Journal of Surgery. 47(3). 773–784. 5 indexed citations

Farma, Jeffrey M., Maureen V. Hill, Meghan Hotz, et al.. (2021). A Retrospective, Observational Analysis of Tumor Infiltrating Lymphocytes and Tumor Regression in Melanoma. Journal of Surgical Research. 267. 203–208. 4 indexed citations

Ablain, Julien, Mengshu Xu, Harriet Rothschild, et al.. (2018). Human tumor genomics and zebrafish modeling identify SPRED1 loss as a driver of mucosal melanoma. Science. 362(6418). 1055–1060. 97 indexed citations

Budina-Kolomets, Anna, Marie R. Webster, Julia I-Ju Leu, et al.. (2016). HSP70 Inhibition Limits FAK-Dependent Invasion and Enhances the Response to Melanoma Treatment with BRAF Inhibitors. Cancer Research. 76(9). 2720–2730. 34 indexed citations

Jiang, Zhengyu, Hong Wu, Karthik Devarajan, et al.. (2014). Identifying a Highly-Aggressive DCIS Subgroup by Studying Intra-Individual DCIS Heterogeneity among Invasive Breast Cancer Patients. PLoS ONE. 9(6). e100488–e100488. 19 indexed citations

10.

Ali, Siraj M., R. Katherine Alpaugh, Sean R. Downing, et al.. (2014). Response of an ERBB2-Mutated Inflammatory Breast Carcinoma to Human Epidermal Growth Factor Receptor 2–Targeted Therapy. Journal of Clinical Oncology. 32(25). e88–e91. 40 indexed citations

11.

Li, Hua, Qi Cai, Hong Wu, et al.. (2012). SUZ12 Promotes Human Epithelial Ovarian Cancer by Suppressing Apoptosis via Silencing HRK. Molecular Cancer Research. 10(11). 1462–1472. 61 indexed citations

12.

Bitler, Benjamin G., Hua Li, Qi Cai, et al.. (2011). Wnt5a Suppresses Epithelial Ovarian Cancer by Promoting Cellular Senescence. Cancer Research. 71(19). 6184–6194. 85 indexed citations

13.

Choi, Eun Jung, So Yeon Kim, Hong Wu, et al.. (2010). Targeting Epidermal Growth Factor Receptor–Associated Signaling Pathways in Non–Small Cell Lung Cancer Cells: Implication in Radiation Response. Molecular Cancer Research. 8(7). 1027–1036. 63 indexed citations

14.

Akondy, Rama, Joseph D. Miller, Srilatha Edupuganti, et al.. (2009). The Yellow Fever Virus Vaccine Induces a Broad and Polyfunctional Human Memory CD8+ T Cell Response. The Journal of Immunology. 183(12). 7919–7930. 239 indexed citations

15.

Kim, In Ah, Jin Hee Shin, Jin Ho Kim, et al.. (2006). Histone Deacetylase Inhibitor–Mediated Radiosensitization of Human Cancer Cells: Class Differences and the Potential Influence of p53. Clinical Cancer Research. 12(3). 940–949. 64 indexed citations

16.

Cai, Kathy Q., Callinice D. Capo‐chichi, Lisa Vanderveer, et al.. (2006). Prominent expression of metalloproteinases in early stages of ovarian tumorigenesis. Molecular Carcinogenesis. 46(2). 130–143. 31 indexed citations

17.

Klein, Walter M., et al.. (2006). Increased expression of stem cell markers in malignant melanoma. Modern Pathology. 20(1). 102–107. 256 indexed citations

18.

Longacre, Teri A., Marguerite Ennis, Louise Quenneville, et al.. (2005). Interobserver agreement and reproducibility in classification of invasive breast carcinoma: an NCI breast cancer family registry study. Modern Pathology. 19(2). 195–207. 84 indexed citations

19.

Mueller, Thomas J. J., Hong Wu, Richard E. Greenberg, et al.. (2004). Cutaneous metastases from genitourinary malignancies. Urology. 63(6). 1021–1026. 150 indexed citations

20.

Wu, Hong, Mitchell R. Smith, Michael Millenson, et al.. (2003). Contribution of Flow Cytometry in the Diagnosis of Cutaneous Lymphoid Lesions. Journal of Investigative Dermatology. 121(6). 1522–1530. 17 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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