Pu Paul Liu

1.6k total citations · 1 hit paper
16 papers, 1.3k citations indexed

About

Pu Paul Liu is a scholar working on Hematology, Molecular Biology and Genetics. According to data from OpenAlex, Pu Paul Liu has authored 16 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Hematology, 11 papers in Molecular Biology and 5 papers in Genetics. Recurrent topics in Pu Paul Liu's work include Acute Myeloid Leukemia Research (11 papers), Chronic Myeloid Leukemia Treatments (6 papers) and Genomics and Chromatin Dynamics (4 papers). Pu Paul Liu is often cited by papers focused on Acute Myeloid Leukemia Research (11 papers), Chronic Myeloid Leukemia Treatments (6 papers) and Genomics and Chromatin Dynamics (4 papers). Pu Paul Liu collaborates with scholars based in United States and Japan. Pu Paul Liu's co-authors include Nancy A. Speck, Terryl Stacy, Lucio H. Castilla, Cuiling Li, Xiao Yang, Chu‐Xia Deng, Xiaoling Xu, Michael Weinstein, Anthony Wynshaw‐Boris and Qing Wang and has published in prestigious journals such as Cell, The Journal of Cell Biology and Blood.

In The Last Decade

Pu Paul Liu

15 papers receiving 1.3k citations

Hit Papers

1 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.

The CBFβ Subunit Is Essential for CBFα2 (AML1) Function In Vivo

1996 532 citations Qing Wang, Terryl Stacy et al. Cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Pu Paul Liu United States	10	1.0k	501	225	181	165	16	1.3k
Julia Inglés‐Esteve Spain	18	813 0.8×	205 0.4×	205 0.9×	188 1.0×	236 1.4×	22	1.2k
Tong Yin China	7	836 0.8×	412 0.8×	114 0.5×	352 1.9×	254 1.5×	19	1.3k
Abdullah Mahmood Ali United States	20	1.5k 1.4×	319 0.6×	181 0.8×	244 1.3×	116 0.7×	60	2.0k
Jianlong Sun United States	12	930 0.9×	545 1.1×	307 1.4×	168 0.9×	423 2.6×	24	1.5k
Jordan Blum United States	7	1.1k 1.1×	649 1.3×	139 0.6×	481 2.7×	173 1.0×	11	1.7k
Michael D. Bettess Australia	8	883 0.8×	253 0.5×	106 0.5×	202 1.1×	159 1.0×	8	1.2k
Azucena Ramos United States	6	649 0.6×	432 0.9×	267 1.2×	190 1.0×	317 1.9×	9	1.2k
Kathy Knezevic Australia	19	1.4k 1.4×	678 1.4×	497 2.2×	131 0.7×	355 2.2×	31	1.9k
Masamitsu Negishi Japan	15	1.1k 1.0×	305 0.6×	77 0.3×	186 1.0×	150 0.9×	16	1.3k
Anthony A. Fernald United States	18	707 0.7×	468 0.9×	70 0.3×	145 0.8×	114 0.7×	36	1.1k

Countries citing papers authored by Pu Paul Liu

Since Specialization

Citations

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

Fields of papers citing papers by Pu Paul Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pu Paul Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Pu Paul Liu. A scholar is included among the top collaborators of Pu Paul 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 Pu Paul Liu. Pu Paul Liu 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:

16 of 16 papers shown

Morita, Ken, Gengo Kashiwazaki, Junichi Taniguchi, et al.. (2018). RUNX1 positively regulates the ErbB2/HER2 signaling pathway through modulating SOS1 expression in gastric cancer cells. Scientific Reports. 8(1). 6423–6423. 30 indexed citations

Morita, Ken, Shintaro Maeda, Gengo Kashiwazaki, et al.. (2017). Autonomous feedback loop of RUNX1-p53-CBFB in acute myeloid leukemia cells. Scientific Reports. 7(1). 16604–16604. 26 indexed citations

Morita, Ken, Shintaro Maeda, Junichi Taniguchi, et al.. (2017). Paradoxical enhancement of leukemogenesis in acute myeloid leukemia with moderately attenuated RUNX1 expressions. Blood Advances. 1(18). 1440–1451. 12 indexed citations

Zhen, Tao, et al.. (2016). Runx1 Deficiency and MDS-Associated U2af1 Mutation Cooperate for Leukemia Development in a New Mouse Model. Blood. 128(22). 964–964. 1 indexed citations

Zhao, Ling, Lemlem Alemu, Jun Cheng, et al.. (2015). The Multimerization Domain of Cbfß-SMMHC Is Required for Leukemogenesis. Blood. 126(23). 3666–3666. 2 indexed citations

Marugán, Juan, Jingbo Xiao, Wei Zheng, et al.. (2013). ML223: A Small Molecule Probe With In Vivo Activity Against Acute Myeloid Leukemia Subtype M4Eo. 1 indexed citations

Zhao, Ling, J. Joseph Melenhorst, Lemlem Alemu, et al.. (2009). C-KIT with D816Y/V Mutations Cooperate with CBFB-MYH11 to Accelerate Leukemogenesis in Mice.. Blood. 114(22). 274–274. 2 indexed citations

Hyde, R. Katherine, Yasuhiko Kamikubo, Lemlem Alemu, et al.. (2008). Cbfb-MYH11 Can Block Hematopoiesis and Alter Gene Expression through Mechanisms Independent of Cbfb and Runx1 Repression. Blood. 112(11). 747–747. 1 indexed citations

Motegi, Akira, Raman Sood, Helen Moinova, et al.. (2006). Human SHPRH suppresses genomic instability through proliferating cell nuclear antigen polyubiquitination. The Journal of Cell Biology. 175(5). 703–708. 166 indexed citations

10.

Kundu, Mondira, Amy Chen, Stacie M. Anderson, et al.. (2002). Role of Cbfb in hematopoiesis and perturbations resulting from expression of the leukemogenic fusion gene Cbfb-MYH11. Blood. 100(7). 2449–2456. 46 indexed citations

11.

Kundu, Mondira & Pu Paul Liu. (2001). Function of the inv(16) fusion gene CBFB-MYH11. Current Opinion in Hematology. 8(4). 201–205. 25 indexed citations

12.

Lyons, Susan E., et al.. (2001). Molecular cloning, genetic mapping, and expression analysis of four zebrafish c/ebp genes. Gene. 281(1-2). 43–51. 55 indexed citations

13.

Yang, Xiao, Lucio H. Castilla, Xiaoling Xu, et al.. (1999). Angiogenesis defects and mesenchymal apoptosis in mice lacking SMAD5. Development. 126(8). 1571–1580. 325 indexed citations

14.

Adya, Neeraj, Terryl Stacy, Nancy A. Speck, & Pu Paul Liu. (1998). The Leukemic Protein Core Binding Factor β (CBFβ)–Smooth-Muscle Myosin Heavy Chain Sequesters CBFα2 into Cytoskeletal Filaments and Aggregates. Molecular and Cellular Biology. 18(12). 7432–7443. 112 indexed citations

15.

Viswanatha, David S., I‐Ming Chen, Pu Paul Liu, et al.. (1998). Characterization and Use of an Antibody Detecting the CBFβ-SMMHC Fusion Protein in inv(16)/t(16;16)-Associated Acute Myeloid Leukemias. Blood. 91(6). 1882–1890. 9 indexed citations

16.

Wang, Qing, Terryl Stacy, Ting-Lei Gu, et al.. (1996). The CBFβ Subunit Is Essential for CBFα2 (AML1) Function In Vivo. Cell. 87(4). 697–708. 532 indexed citations breakdown →

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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