Zan Lv

706 total citations · 2 hit papers
11 papers, 350 citations indexed

About

Zan Lv is a scholar working on Surgery, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Zan Lv has authored 11 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Surgery, 5 papers in Molecular Biology and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Zan Lv's work include Neonatal Respiratory Health Research (4 papers), Congenital heart defects research (4 papers) and Pancreatic function and diabetes (4 papers). Zan Lv is often cited by papers focused on Neonatal Respiratory Health Research (4 papers), Congenital heart defects research (4 papers) and Pancreatic function and diabetes (4 papers). Zan Lv collaborates with scholars based in China, United States and Hong Kong. Zan Lv's co-authors include Bin Zhou, Wenjuan Pu, Lingjuan He, Xiuzhen Huang, Kuo Liu, Xiuxiu Liu, Huan Zhao, Ximeng Han, Yan Li and Muxue Tang and has published in prestigious journals such as Cell, Journal of Biological Chemistry and Nature Genetics.

In The Last Decade

Zan Lv

10 papers receiving 346 citations

Hit Papers

Bipotent transitional liver progenitor cells contribute t... 2023 2026 2024 2025 2023 2024 20 40 60

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zan Lv China 10 169 124 65 57 50 11 350
Xuzhen Yan China 10 129 0.8× 66 0.5× 53 0.8× 28 0.5× 42 0.8× 18 337
Vanessa Orsini Switzerland 6 259 1.5× 122 1.0× 82 1.3× 31 0.5× 49 1.0× 9 468
Kazunori Tokuda Japan 9 140 0.8× 64 0.5× 124 1.9× 60 1.1× 94 1.9× 25 348
Xiangjun Xie China 10 130 0.8× 164 1.3× 111 1.7× 85 1.5× 57 1.1× 17 407
Andrew D. Ludwig United States 10 176 1.0× 46 0.4× 105 1.6× 17 0.3× 127 2.5× 13 332
Monika Pikiolek Switzerland 6 218 1.3× 154 1.2× 72 1.1× 25 0.4× 48 1.0× 6 453
Tadahiko Nakagawa Japan 10 178 1.1× 51 0.4× 98 1.5× 64 1.1× 65 1.3× 25 331
Byul A Jee South Korea 10 303 1.8× 59 0.5× 59 0.9× 60 1.1× 128 2.6× 10 445
Eiko Saijou Japan 7 172 1.0× 47 0.4× 41 0.6× 22 0.4× 28 0.6× 10 376

Countries citing papers authored by Zan Lv

Since Specialization
Citations

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

Fields of papers citing papers by Zan Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zan Lv

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

All Works

11 of 11 papers shown
1.
Huang, Xiuzhen, Huan Zhao, Zixin Liu, et al.. (2025). Ductal or Ngn3+ cells do not contribute to adult pancreatic islet beta-cell neogenesis in homeostasis. The EMBO Journal. 44(10). 2856–2881.
2.
Liu, Kuo, Zixin Liu, Muxue Tang, et al.. (2024). Tracing the origin of alveolar stem cells in lung repair and regeneration. Cell. 187(10). 2428–2445.e20. 39 indexed citations breakdown →
3.
Lv, Zan, Zixin Liu, Kuo Liu, et al.. (2024). Alveolar regeneration by airway secretory-cell-derived p63+ progenitors. Cell stem cell. 31(11). 1685–1700.e6. 16 indexed citations
4.
Zhao, Huan, Xiuzhen Huang, Zixin Liu, et al.. (2023). Use of a dual genetic system to decipher exocrine cell fate conversions in the adult pancreas. Cell Discovery. 9(1). 1–1. 20 indexed citations
5.
Pu, Wenjuan, Huan Zhu, Mingjun Zhang, et al.. (2023). Bipotent transitional liver progenitor cells contribute to liver regeneration. Nature Genetics. 55(4). 651–664. 74 indexed citations breakdown →
6.
Zhao, Huan, Xiuzhen Huang, Zixin Liu, et al.. (2021). Pre-existing beta cells but not progenitors contribute to new beta cells in the adult pancreas. Nature Metabolism. 3(3). 352–365. 46 indexed citations
7.
Li, Yan, Zan Lv, Shaohua Zhang, et al.. (2020). Genetic Fate Mapping of Transient Cell Fate Reveals N-Cadherin Activity and Function in Tumor Metastasis. Developmental Cell. 54(5). 593–607.e5. 75 indexed citations
8.
Pu, Wenjuan, Ximeng Han, Lingjuan He, et al.. (2020). A genetic system for tissue-specific inhibition of cell proliferation. Development. 147(4). 16 indexed citations
9.
Liu, Kuo, Muxue Tang, Hengwei Jin, et al.. (2020). Triple-cell lineage tracing by a dual reporter on a single allele. Journal of Biological Chemistry. 295(3). 690–700. 20 indexed citations
10.
Liu, Kuo, Muxue Tang, Hengwei Jin, et al.. (2019). Triple-cell lineage tracing by a dual reporter on a single allele. Journal of Biological Chemistry. 295(3). 690–700. 19 indexed citations
11.
Li, Yan, Zan Lv, Lingjuan He, et al.. (2019). Genetic Tracing Identifies Early Segregation of the Cardiomyocyte and Nonmyocyte Lineages. Circulation Research. 125(3). 343–355. 25 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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