Weihan Liu

638 total citations
9 papers, 179 citations indexed

About

Weihan Liu is a scholar working on Oncology, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Weihan Liu has authored 9 papers receiving a total of 179 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 3 papers in Molecular Biology and 1 paper in Infectious Diseases. Recurrent topics in Weihan Liu's work include Pancreatic and Hepatic Oncology Research (2 papers), Genomics and Chromatin Dynamics (2 papers) and Cancer Cells and Metastasis (2 papers). Weihan Liu is often cited by papers focused on Pancreatic and Hepatic Oncology Research (2 papers), Genomics and Chromatin Dynamics (2 papers) and Cancer Cells and Metastasis (2 papers). Weihan Liu collaborates with scholars based in China, United States and Australia. Weihan Liu's co-authors include Lifei Yang, Xin Yu, Meng Wu, Mitchell Ho, Janice M. Reichert, Rinath Jeselsohn, Elgene Lim, Dan Shi, Henry W. Long and Judy E. Garber and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Cell Reports and Advanced Healthcare Materials.

In The Last Decade

Weihan Liu

9 papers receiving 177 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Weihan Liu China 4 76 61 58 27 24 9 179
Birte Aggeler United States 4 100 1.3× 18 0.3× 46 0.8× 12 0.4× 25 1.0× 8 183
Greyson Biegert United States 8 94 1.2× 10 0.2× 54 0.9× 14 0.5× 22 0.9× 15 155
Meryem S. Ercanoglu Germany 8 127 1.7× 102 1.7× 75 1.3× 29 1.1× 36 1.5× 12 315
Benjamin Hughes Australia 10 163 2.1× 15 0.2× 58 1.0× 12 0.4× 47 2.0× 17 219
Jiayu Fu China 7 77 1.0× 82 1.3× 20 0.3× 15 0.6× 5 0.2× 22 207
Lan Zhu China 7 83 1.1× 26 0.4× 27 0.5× 20 0.7× 8 0.3× 8 178
Tanaya A. Purohit United States 4 96 1.3× 28 0.5× 96 1.7× 9 0.3× 6 0.3× 5 148
Patrick Kellish United States 8 149 2.0× 21 0.3× 50 0.9× 14 0.5× 3 0.1× 13 218
Mark Yarmarkovich United States 8 178 2.3× 55 0.9× 43 0.7× 43 1.6× 68 2.8× 10 258
Mathieu Drouin Canada 10 195 2.6× 39 0.6× 59 1.0× 19 0.7× 15 0.6× 19 312

Countries citing papers authored by Weihan Liu

Since Specialization
Citations

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

Fields of papers citing papers by Weihan Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weihan Liu

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

All Works

9 of 9 papers shown
1.
Liu, Weihan, Angela Stoddart, Saira Khan, et al.. (2024). CUX1 regulates human hematopoietic stem cell chromatin accessibility via the BAF complex. Cell Reports. 43(5). 114227–114227. 1 indexed citations
2.
Cheng, Jie, Xiangchen Meng, Weihan Liu, et al.. (2024). A Paradigm for Generating Operational Seamless Land Surface Temperature Products. 1406–1409. 1 indexed citations
3.
Stein, Shayna, Agostina Nardone, Weihan Liu, et al.. (2023). Mathematical Modeling Identifies Optimum Palbociclib-fulvestrant Dose Administration Schedules for the Treatment of Patients with Estrogen Receptor–positive Breast Cancer. Cancer Research Communications. 3(11). 2331–2344. 5 indexed citations
4.
Cheng, Huan, Weihan Liu, Dan Shi, et al.. (2023). Macrophage-organoid co-culture model for identifying treatment strategies against macrophage-related gemcitabine resistance. Journal of Experimental & Clinical Cancer Research. 42(1). 199–199. 41 indexed citations
5.
Liu, Weihan, Dan Shi, Huan Cheng, et al.. (2023). Black Phosphorus as a Targeting PPAR‐γ Agonist to Reverse Chemoresistance in Patient‐derived Organoids, Mice, and Pancreatic Tumor Cells. Advanced Healthcare Materials. 12(29). e2301324–e2301324. 1 indexed citations
7.
Zhang, Xianbin, Lili Lu, Jun Liu, et al.. (2022). A Nomogram to Accurately Identify Pancreatic Neuroendocrine Tumors Metastasizing to Distant Organs: A Study Based on Two National Population-Based Cohorts From the United States and China. Clinical Medicine Insights Oncology. 16. 1363220813–1363220813. 1 indexed citations
8.
Yang, Lifei, Weihan Liu, Xin Yu, et al.. (2020). COVID-19 antibody therapeutics tracker: a global online database of antibody therapeutics for the prevention and treatment of COVID-19. PubMed. 3(3). 205–212. 72 indexed citations
9.
Chi, David, Hari Singhal, Lewyn Li, et al.. (2019). Estrogen receptor signaling is reprogrammed during breast tumorigenesis. Proceedings of the National Academy of Sciences. 116(23). 11437–11443. 56 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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