Zaibo Li

5.2k total citations
187 papers, 3.4k citations indexed

About

Zaibo Li is a scholar working on Oncology, Epidemiology and Cancer Research. According to data from OpenAlex, Zaibo Li has authored 187 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Oncology, 54 papers in Epidemiology and 45 papers in Cancer Research. Recurrent topics in Zaibo Li's work include Cervical Cancer and HPV Research (43 papers), AI in cancer detection (33 papers) and Breast Cancer Treatment Studies (26 papers). Zaibo Li is often cited by papers focused on Cervical Cancer and HPV Research (43 papers), AI in cancer detection (33 papers) and Breast Cancer Treatment Studies (26 papers). Zaibo Li collaborates with scholars based in United States, China and Portugal. Zaibo Li's co-authors include Guan Wu, Chengquan Zhao, Edward M. Messing, Dakun Wang, Anil V. Parwani, Yanjun Hou, Hiroaki Nitta, Susan R. Schoen, Lai Wei and Xi Na and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Zaibo Li

177 papers receiving 3.3k citations

Peers

Countries citing papers authored by Zaibo Li

Since Specialization

Citations

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

Fields of papers citing papers by Zaibo Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zaibo Li

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	A Comprehensive AI-Based Approach in Classifying Breast Lesions: Focusing on Improving Pathologists’ Accuracy and Efficiency 2025 ·Clinical Breast Cancer ·(unknown), Yan Hu, (unknown), (unknown), (unknown), (unknown), Manuela Vecsler, Giovanni Lujan, Wendy L. Frankel, Anil V. Parwani, Zaibo Li	2
2	Predicting Neoadjuvant Chemotherapy Response in Triple-Negative Breast Cancer Using Pre-Treatment Histopathologic Images 2025 ·Cancers ·(unknown), (unknown), Huina Zhang, Yihong Wang, (unknown), Shi Wei, (unknown), Zaibo Li, Muhammad Khalid Khan Niazi	0
3	Low PPP2R2A expression promotes sensitivity to CHK1 inhibition in high-grade serous ovarian cancer 2024 ·Theranostics ·Zhaojun Qiu, (unknown), Yujie Liu, (unknown), Nigel Bean, Chunhong Yan, Zaibo Li, Xiaoli Zhang, Goutham Narla, Analisa DiFeo, Qi-En Wang, Junran Zhang	1
4	The thioredoxin system determines CHK1 inhibitor sensitivity via redox-mediated regulation of ribonucleotide reductase activity 2024 ·Nature Communications ·(unknown), Adrian Oo, Yujie Liu, Zhaojun Qiu, Yaogang Zhong, Na Li, Deepika Singh, (unknown), Young‐Jae Cho, Zaibo Li, Xiaoli Zhang, Chunhong Yan, Qingfei Zheng, Qi‐En Wang, Deliang Guo, Baek Kim, Junran Zhang	6
5	Automated imaging analysis of Ki-67 immunohistochemistry on whole slide images of cell blocks from pancreatic neuroendocrine neoplasms 2024 ·Journal of the American Society of Cytopathology ·(unknown), Rulong Shen, (unknown), Swati Satturwar, Peter Kobalka, Saman Ahmadian, (unknown), (unknown), Giovanni Lujan, Ashwini Esnakula, Anil V. Parwani, Zaibo Li	4
6	The current state of digital cytology and artificial intelligence (AI): global survey results from the American Society of Cytopathology Digital Cytology Task Force 2024 ·Journal of the American Society of Cytopathology ·David Kim, Michael J. Thrall, Pamela Michelow, Fernando Schmitt, Philippe Vielh, Momin T. Siddiqui, Kaitlin E. Sundling, Renu K. Virk, Susan Alperstein, Marilyn M. Bui, Heather Chen, Amber Donnelly, Oscar Lin, Xiaoying Liu, Emilio Madrigal, Maureen F. Zakowski, Anil V. Parwani, (unknown), Liron Pantanowitz, Zaibo Li	13
7	Fine Needle Aspiration Cytopathology of Thymoma and Thymic Carcinoma: A Brief Review 2023 ·Zaibo Li, Paul E. Wakely	0
8	The Current State of Whole Slide Imaging and Artificial Intelligence in Cytology Practice: Global Survey Results from the American Society of Cytopathology Digital Cytology White Paper Task Force 2023 ·Journal of the American Society of Cytopathology ·David Kim, Oscar Lin, Momin T. Siddiqui, Pamela Michelow, Kaitlin E. Sundling, Renu K. Virk, Xiaoying Liu, Liron Pantanowitz, Zaibo Li, Michael J. Thrall, Fernando Schmitt	1
9	Low‐grade adenosquamous carcinoma of the breast: a clinical, morphological and immunohistochemical analysis of 25 patients 2023 ·Histopathology ·(unknown), (unknown), (unknown), Xiaoxian Li, Zaibo Li, (unknown), (unknown), Chunjie Wang, (unknown), Huina Zhang, (unknown), Xiaoyan Cui, Patrick J. McIntire, Raza S. Hoda, J. Jordi Rowe, Andrew P. Sciallis, (unknown)	8
10	Artificial Intelligence–Aided Diagnosis of Breast Cancer Lymph Node Metastasis on Histologic Slides in a Digital Workflow 2023 ·Modern Pathology ·(unknown), (unknown), Yanmin Hu, (unknown), Giovanni Lujan, (unknown), Anil V. Parwani, Zaibo Li	24
11	Digital cytology part 2: artificial intelligence in cytology: a concept paper with review and recommendations from the American Society of Cytopathology Digital Cytology Task Force 2023 ·Journal of the American Society of Cytopathology ·David Kim, Kaitlin E. Sundling, Renu K. Virk, Michael J. Thrall, Susan Alperstein, Marilyn M. Bui, Heather Chen, Amber Donnelly, Oscar Lin, Xiaoying Liu, Emilio Madrigal, Pamela Michelow, Fernando Schmitt, Philippe Vielh, Maureen F. Zakowski, Anil V. Parwani, (unknown), Momin T. Siddiqui, Liron Pantanowitz, Zaibo Li	33
12	Cutaneous eccrine spiradenoma: Insights into cytomorphological features via fine needle aspiration biopsy and a comprehensive literature review 2023 ·Cytopathology ·(unknown), Poonam Vohra, Zaibo Li, Omar P. Sangüeza, (unknown)	0
13	Comparison of four different displays for identification of select pathologic features extracted from whole slide images of surgical pathology cases 2023 ·Pathology - Research and Practice ·(unknown), Konstantin Shilo, Ashwini Esnakula, Saba Shafi, (unknown), Ankush Patel, (unknown), Scott A. Hammond, (unknown), Swati Satturwar, Martha Yearsley, Zaibo Li, (unknown), Giovanni Lujan, Anil V. Parwani	1
14	Digital cytology part 1: digital cytology implementation for practice: a concept paper with review and recommendations from the American Society of Cytopathology Digital Cytology Task Force 2023 ·Journal of the American Society of Cytopathology ·David Kim, Kaitlin E. Sundling, Renu K. Virk, Michael J. Thrall, Susan Alperstein, Marilyn M. Bui, Heather Chen, Amber Donnelly, Oscar Lin, Xiaoying Liu, Emilio Madrigal, Pamela Michelow, Fernando Schmitt, Philippe Vielh, Maureen F. Zakowski, Anil V. Parwani, (unknown), Momin T. Siddiqui, Liron Pantanowitz, Zaibo Li	27
15	The Role of Artificial Intelligence in Accurate Interpretation of HER2 Immunohistochemical Scores 0 and 1+ in Breast Cancer 2023 ·Modern Pathology ·Si Wu, Yue Meng, Jun Zhang, Xiaoxian Li, Zaibo Li, Huina Zhang, Xinran Wang, Xiao Han, (unknown), (unknown), (unknown), Xiaoxiao Wang, Jinze Li, Yueping Liu	63
16	Incidence, Clinicopathologic Features, HER2 Fluorescence In Situ Hybridization Profile, and Oncotype DX Results of Human Epidermal Growth Factor Receptor 2-Low Breast Cancers: Experience From a Single Academic Center 2023 ·Modern Pathology ·Yan Hu, Dan Jones, Weiqiang Zhao, Gary Tozbikian, Robert Wesolowski, Anil V. Parwani, Zaibo Li	11
17	A solitary brain metastasis as the only site of recurrence of HR positive, HER2 negative breast cancer: a case report and review of the literature 2021 ·Journal of Medical Case Reports ·Sandipkumar Patel, (unknown), Zaibo Li, Bhuvaneswari Ramaswamy, Andrew Stiff, Mahmoud Kassem, (unknown)	0
18	A Genome-Wide Pooled shRNA Screen Identifies PPP2R2A as a Predictive Biomarker for the Response to ATR and CHK1 Inhibitors 2020 ·Cancer Research ·Zhaojun Qiu, (unknown), Tao Liu, (unknown), (unknown), (unknown), E. Ricky Chan, (unknown), Zaibo Li, Kai He, Qi‐En Wang, Terence M. Williams, Chunhong Yan, Steven T. Sizemore, Goutham Narla, Junran Zhang	26
19	Inhibition of miR-328–3p Impairs Cancer Stem Cell Function and Prevents Metastasis in Ovarian Cancer 2019 ·Cancer Research ·Amit Kumar Srivastava, Ananya Banerjee, Tiantian Cui, Chunhua Han, Shurui Cai, Lu Liu, Dayong Wu, Ri Cui, Zaibo Li, Xiaoli Zhang, (unknown), Karuppaiyah Selvendiran, Srinivas Patnaik, Adam R. Karpf, Jinsong Liu, David E. Cohn, Qi-En Wang	74
20	Deubiquitination of type 2 iodothyronine deiodinase by von Hippel–Lindau protein–interacting deubiquitinating enzymes regulates thyroid hormone activation 2003 ·Journal of Clinical Investigation ·Cyntia Curcio‐Morelli, Ann Marie Zavacki, (unknown), Balázs Gereben, Beatriz C.G. Freitas, John W. Harney, Zaibo Li, Guan Wu, Antônio C. Bianco	111

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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