P. Liu

578 total citations
11 papers, 410 citations indexed

About

P. Liu is a scholar working on Molecular Biology, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, P. Liu has authored 11 papers receiving a total of 410 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Oncology and 2 papers in Pathology and Forensic Medicine. Recurrent topics in P. Liu's work include DNA Repair Mechanisms (2 papers), Acute Myeloid Leukemia Research (2 papers) and Lymphoma Diagnosis and Treatment (2 papers). P. Liu is often cited by papers focused on DNA Repair Mechanisms (2 papers), Acute Myeloid Leukemia Research (2 papers) and Lymphoma Diagnosis and Treatment (2 papers). P. Liu collaborates with scholars based in United States, Australia and United Kingdom. P. Liu's co-authors include Jing Wang, Kevin R. Coombes, Chunlei Wu, Yuan Ji, A. B. Deisseroth, J. P. Hester, David F. Claxton, Francis S. Collins, Paula Marlton and James M. Reuben and has published in prestigious journals such as Journal of Clinical Oncology, Blood and British Journal of Cancer.

In The Last Decade

P. Liu

10 papers receiving 400 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
P. Liu United States 5 144 109 97 91 82 11 410
David Weissmann United States 9 162 1.1× 157 1.4× 15 0.2× 78 0.9× 82 1.0× 13 525
Fatiha Bouhidel France 13 81 0.6× 28 0.3× 24 0.2× 52 0.6× 118 1.4× 17 423
Steven J. Potts United States 9 120 0.8× 56 0.5× 27 0.3× 52 0.6× 48 0.6× 22 419
Shinichi Takada Japan 7 117 0.8× 23 0.2× 23 0.2× 87 1.0× 48 0.6× 20 331
C. Chow United States 9 167 1.2× 52 0.5× 14 0.1× 46 0.5× 64 0.8× 11 434
P. Musto United States 7 48 0.3× 79 0.7× 18 0.2× 115 1.3× 35 0.4× 18 227
Hesham Eldaly United Kingdom 11 186 1.3× 25 0.2× 11 0.1× 52 0.6× 35 0.4× 19 441
Yohei Hamaguchi Japan 11 190 1.3× 22 0.2× 18 0.2× 69 0.8× 136 1.7× 16 409
Wilfried H.B.M. Levering Netherlands 13 134 0.9× 181 1.7× 9 0.1× 43 0.5× 51 0.6× 20 427
Tamara K. Moyo United States 11 143 1.0× 69 0.6× 5 0.1× 44 0.5× 79 1.0× 32 317

Countries citing papers authored by P. Liu

Since Specialization
Citations

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

Fields of papers citing papers by P. Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. Liu

This figure shows the co-authorship network connecting the top 25 collaborators of P. Liu. A scholar is included among the top collaborators of P. 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 P. Liu. P. Liu 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
2.
Benton, Emma, Siobhan Crichton, R. Talpur, et al.. (2013). A cutaneous lymphoma international prognostic index (CLIPi) for mycosis fungoides and Sezary syndrome. European Journal of Cancer. 49(13). 2859–2868. 98 indexed citations
3.
Brewer, Takae, Hiroko Masuda, Yu Shen, et al.. (2013). Statin use in primary inflammatory breast cancer: a cohort study. British Journal of Cancer. 109(2). 318–324. 76 indexed citations
5.
Caudle, Abigail S., Ana M. González-Angulo, P. Liu, et al.. (2009). Predictors of tumor progression during neoadjuvant chemotherapy in breast cancer. Journal of Clinical Oncology. 27(15_suppl). 603–603. 4 indexed citations
6.
Johnson, Valen E., Loretta A. Williams, Li Mao, et al.. (2009). 132. Serum sTNF-R1 and IL-6 are associated with severity of symptom burden caused by concurrent chemoradiation therapy for patients with lung and gastrointestinal cancers. Brain Behavior and Immunity. 23. S61–S62. 1 indexed citations
7.
Wang, Yinghong, Jeffrey E. Gershenwald, Merrick I. Ross, et al.. (2007). HLA class II alleles predict recurrence and pattern of failure in early-stage melanoma patients. Journal of Clinical Oncology. 25(18_suppl). 8503–8503. 1 indexed citations
8.
Ji, Yuan, Chunlei Wu, P. Liu, Jing Wang, & Kevin R. Coombes. (2005). Applications of beta-mixture models in bioinformatics. Computer applications in the biosciences. 21(9). 2118–2122. 92 indexed citations
9.
Parmar, Simrit, Marcelo Fernández-Viña, P. Liu, et al.. (2005). Influence of Allele Level HLA Typing on Unrelated Donor (UD) Transplantation for High Risk Myeloid Leukemias.. Blood. 106(11). 2916–2916. 1 indexed citations
10.
Claxton, David F., P. Liu, Paula Marlton, et al.. (1994). Detection of fusion transcripts generated by the inversion 16 chromosome in acute myelogenous leukemia. Blood. 83(7). 1750–1756. 118 indexed citations
11.
Liu, P., Julio C. Siciliano, Randy J. Legerski, et al.. (1993). Regional mapping of human DNA excision repair gene ERCC4 to chromosome 16pl3.13–pl3.2. Mutagenesis. 8(3). 199–205. 18 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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