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 South Africa. 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

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Zaibo Li 1.1k 1.0k 869 795 562 187 3.4k
Olga B. Ioffe 898 0.8× 796 0.8× 402 0.5× 1.0k 1.3× 551 1.0× 112 4.3k
Håvard E. Danielsen 810 0.7× 839 0.8× 244 0.3× 600 0.8× 358 0.6× 104 3.5k
Sang Yong Song 1.2k 1.1× 1.6k 1.6× 561 0.6× 1.0k 1.3× 685 1.2× 138 3.9k
Blaise Clarke 1.5k 1.4× 1.6k 1.6× 620 0.7× 1.0k 1.3× 678 1.2× 162 5.1k
Gulisa Turashvili 1.2k 1.1× 1.9k 1.9× 234 0.3× 1.4k 1.8× 186 0.3× 109 3.9k
Stephen Yip 565 0.5× 1.0k 1.0× 219 0.3× 655 0.8× 212 0.4× 150 2.8k
Anna Melissa Schlitter 1.4k 1.3× 663 0.7× 641 0.7× 585 0.7× 877 1.6× 77 3.1k
Farid Moinfar 955 0.9× 925 0.9× 226 0.3× 1.1k 1.3× 312 0.6× 80 3.1k
Ingfrid S. Haldorsen 741 0.7× 561 0.6× 308 0.4× 267 0.3× 895 1.6× 131 3.5k
Carolien H. M. van Deurzen 1.3k 1.2× 671 0.7× 329 0.4× 1.6k 2.0× 620 1.1× 108 3.3k

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

20 of 20 papers shown
1.
Hu, Yan, Manuela Vecsler, Giovanni Lujan, et al.. (2025). A Comprehensive AI-Based Approach in Classifying Breast Lesions: Focusing on Improving Pathologists’ Accuracy and Efficiency. Clinical Breast Cancer. 25(6). e818–e825. 2 indexed citations
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Qiu, Zhaojun, Yujie Liu, Nigel Bean, et al.. (2024). Low PPP2R2A expression promotes sensitivity to CHK1 inhibition in high-grade serous ovarian cancer. Theranostics. 14(19). 7450–7469. 1 indexed citations
4.
Kim, David, Michael J. Thrall, Pamela Michelow, et al.. (2024). The current state of digital cytology and artificial intelligence (AI): global survey results from the American Society of Cytopathology Digital Cytology Task Force. Journal of the American Society of Cytopathology. 13(5). 319–328. 13 indexed citations
5.
Oo, Adrian, Yujie Liu, Zhaojun Qiu, et al.. (2024). The thioredoxin system determines CHK1 inhibitor sensitivity via redox-mediated regulation of ribonucleotide reductase activity. Nature Communications. 15(1). 4667–4667. 6 indexed citations
6.
Shen, Rulong, Swati Satturwar, Peter Kobalka, et al.. (2024). Automated imaging analysis of Ki-67 immunohistochemistry on whole slide images of cell blocks from pancreatic neuroendocrine neoplasms. Journal of the American Society of Cytopathology. 13(3). 205–212. 4 indexed citations
7.
Li, Xiaoxian, Zaibo Li, Chunjie Wang, et al.. (2023). Low‐grade adenosquamous carcinoma of the breast: a clinical, morphological and immunohistochemical analysis of 25 patients. Histopathology. 83(2). 252–263. 8 indexed citations
8.
Hu, Yanmin, et al.. (2023). Artificial Intelligence–Aided Diagnosis of Breast Cancer Lymph Node Metastasis on Histologic Slides in a Digital Workflow. Modern Pathology. 36(8). 100216–100216. 24 indexed citations
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Kim, David, Oscar Lin, Momin T. Siddiqui, et al.. (2023). 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. Journal of the American Society of Cytopathology. 12(5). S72–S73. 1 indexed citations
11.
Wu, Si, Yue Meng, Jun Zhang, et al.. (2023). The Role of Artificial Intelligence in Accurate Interpretation of HER2 Immunohistochemical Scores 0 and 1+ in Breast Cancer. Modern Pathology. 36(3). 100054–100054. 63 indexed citations
12.
Kim, David, Kaitlin E. Sundling, Renu K. Virk, et al.. (2023). 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. Journal of the American Society of Cytopathology. 13(2). 97–110. 33 indexed citations
13.
Shilo, Konstantin, Ashwini Esnakula, Saba Shafi, et al.. (2023). Comparison of four different displays for identification of select pathologic features extracted from whole slide images of surgical pathology cases. Pathology - Research and Practice. 251. 154843–154843. 1 indexed citations
14.
Kim, David, Kaitlin E. Sundling, Renu K. Virk, et al.. (2023). 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. Journal of the American Society of Cytopathology. 13(2). 86–96. 27 indexed citations
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Qiu, Zhaojun, Tao Liu, E. Ricky Chan, et al.. (2020). A Genome-Wide Pooled shRNA Screen Identifies PPP2R2A as a Predictive Biomarker for the Response to ATR and CHK1 Inhibitors. Cancer Research. 80(16). 3305–3318. 26 indexed citations
19.
Srivastava, Amit Kumar, Ananya Banerjee, Tiantian Cui, et al.. (2019). Inhibition of miR-328–3p Impairs Cancer Stem Cell Function and Prevents Metastasis in Ovarian Cancer. Cancer Research. 79(9). 2314–2326. 74 indexed citations
20.
Curcio‐Morelli, Cyntia, Ann Marie Zavacki, Balázs Gereben, et al.. (2003). Deubiquitination of type 2 iodothyronine deiodinase by von Hippel–Lindau protein–interacting deubiquitinating enzymes regulates thyroid hormone activation. Journal of Clinical Investigation. 112(2). 189–196. 111 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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