Brian C.‐S. Liu

1.5k total citations
44 papers, 1.3k citations indexed

About

Brian C.‐S. Liu is a scholar working on Molecular Biology, Surgery and Oncology. According to data from OpenAlex, Brian C.‐S. Liu has authored 44 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 10 papers in Surgery and 9 papers in Oncology. Recurrent topics in Brian C.‐S. Liu's work include Monoclonal and Polyclonal Antibodies Research (9 papers), Bladder and Urothelial Cancer Treatments (8 papers) and Cancer Research and Treatments (7 papers). Brian C.‐S. Liu is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (9 papers), Bladder and Urothelial Cancer Treatments (8 papers) and Cancer Research and Treatments (7 papers). Brian C.‐S. Liu collaborates with scholars based in United States, Australia and United Kingdom. Brian C.‐S. Liu's co-authors include Michael J. Droller, Elizabeth Kavaler, Jaime Landman, Yongli Chang, Jerome P. Richie, Michael P. O’Leary, Robert E. Weiss, Weiping Shu, Angeline Ferdinand and Joshua R. Ehrlich and has published in prestigious journals such as Cancer, The Journal of Urology and Clinical Chemistry.

In The Last Decade

Brian C.‐S. Liu

44 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Brian C.‐S. Liu United States 20 635 413 194 191 174 44 1.3k
Ayman Rahman United States 15 469 0.7× 220 0.5× 567 2.9× 215 1.1× 133 0.8× 18 1.2k
Teresina Amaro Portugal 19 540 0.9× 428 1.0× 249 1.3× 213 1.1× 146 0.8× 42 1.1k
Kerstin McKeehan United States 21 1.1k 1.7× 126 0.3× 191 1.0× 176 0.9× 173 1.0× 27 1.5k
Aïcha Demidem France 21 544 0.9× 65 0.2× 250 1.3× 207 1.1× 66 0.4× 50 1.5k
Alasdair C. Stamps United Kingdom 12 694 1.1× 76 0.2× 291 1.5× 130 0.7× 63 0.4× 16 1.0k
Gerhard Leder Germany 17 510 0.8× 210 0.5× 469 2.4× 304 1.6× 184 1.1× 32 1.4k
Arivusudar Marimuthu United States 14 606 1.0× 101 0.2× 190 1.0× 149 0.8× 120 0.7× 17 933
Meike de Wit Netherlands 21 666 1.0× 86 0.2× 408 2.1× 295 1.5× 205 1.2× 43 1.2k
Sazuku Nisitani Japan 17 485 0.8× 103 0.2× 242 1.2× 148 0.8× 261 1.5× 20 1.4k
Hiroyuki Nomura Japan 25 825 1.3× 208 0.5× 412 2.1× 385 2.0× 279 1.6× 110 1.9k

Countries citing papers authored by Brian C.‐S. Liu

Since Specialization
Citations

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

Fields of papers citing papers by Brian C.‐S. Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian C.‐S. 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 Brian C.‐S. Liu. The network helps show where Brian C.‐S. Liu may publish in the future.

Co-authorship network of co-authors of Brian C.‐S. Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Brian C.‐S. Liu. A scholar is included among the top collaborators of Brian C.‐S. 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 Brian C.‐S. Liu. Brian C.‐S. Liu 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.
Caïazzo, Robert, et al.. (2011). Native Antigen Fractionation Protein Microarrays for Biomarker Discovery. Methods in molecular biology. 723. 129–148. 6 indexed citations
2.
3.
Caïazzo, Robert, et al.. (2009). Protein microarrays as an application for disease biomarkers. PROTEOMICS - CLINICAL APPLICATIONS. 3(2). 138–147. 21 indexed citations
4.
Tang, Liangdan, Junzheng Yang, Shu‐Kay Ng, et al.. (2009). Autoantibody profiling to identify biomarkers of key pathogenic pathways in mucinous ovarian cancer. European Journal of Cancer. 46(1). 170–179. 32 indexed citations
5.
Ehrlich, Joshua R., Liangdan Tang, Robert Caïazzo, et al.. (2008). The “Reverse Capture” Autoantibody Microarray:. Methods in molecular biology. 441. 175–192. 11 indexed citations
6.
Mullins, Chris, M. Scott Lucia, Simon W. Hayward, et al.. (2008). A Comprehensive Approach Toward Novel Serum Biomarkers for Benign Prostatic Hyperplasia: The MPSA Consortium. The Journal of Urology. 179(4). 1243–1256. 10 indexed citations
7.
Ehrlich, Joshua R., Robert Caïazzo, Weiliang Qiu, et al.. (2007). A native antigen “reverse capture” microarray platform for autoantibody profiling of prostate cancer sera. PROTEOMICS - CLINICAL APPLICATIONS. 1(5). 476–485. 10 indexed citations
8.
Ehrlich, Joshua R., et al.. (2007). Autoantibody microarrays for biomarker discovery. Expert Review of Proteomics. 4(2). 261–272. 9 indexed citations
9.
Mukhopadhyay, Nishit K., Angeline Ferdinand, Bekir Cinar, et al.. (2006). Unraveling androgen receptor interactomes by an array-based method: Discovery of proto-oncoprotein c-Rel as a negative regulator of androgen receptor. Experimental Cell Research. 312(19). 3782–3795. 28 indexed citations
10.
Mukhopadhyay, Nishit K., Gavin J. Gordon, G. Maulik, et al.. (2005). Histone deacetylation is directly involved in desilencing the expression of the catalytic subunit of telomerase in normal lung fibroblast. Journal of Cellular and Molecular Medicine. 9(3). 662–669. 14 indexed citations
11.
Ferdinand, Angeline, et al.. (2005). Chromatofocusing fractionation and two‐dimensional difference gel electrophoresis for low abundance serum proteins. PROTEOMICS. 5(12). 3183–3192. 39 indexed citations
12.
Zheng, Yaxin, Ye Xu, Bin Ye, et al.. (2003). Prostate carcinoma tissue proteomics for biomarker discovery. Cancer. 98(12). 2576–2582. 76 indexed citations
13.
Droller, Michael J., Elizabeth Kavaler, Jaime Landman, & Brian C.‐S. Liu. (1998). Urinary Telomerase and Its Possible Role As a Marker for Bladder Cancer.. The Keio Journal of Medicine. 47(3). 135–141. 14 indexed citations
14.
Landman, Jaime, Elizabeth Kavaler, Michael J. Droller, & Brian C.‐S. Liu. (1997). Applications of telomerase in urologic oncology. World Journal of Urology. 15(2). 120–124. 14 indexed citations
15.
Shu, Weiping, et al.. (1996). Specific sequences of fibronectin activate the protein kinase C signal transduction pathway in invasive bladder cancer. Cancer Letters. 100(1-2). 163–168. 6 indexed citations
16.
Robbins, Steven E., Weiping Shu, Alexander Kirschenbaum, et al.. (1996). Bone extracellular matrix induces homeobox proteins independent of androgens: Possible mechanism for androgen-independent growth in human prostate cancer cells. The Prostate. 29(6). 362–370. 11 indexed citations
17.
Miniati, Douglas N., Yongli Chang, Weiping Shu, Donna M. Peehl, & Brian C.‐S. Liu. (1996). Role of prostatic basal cells in the regulation and suppression of human prostate cancer cells. Cancer Letters. 104(2). 137–144. 10 indexed citations
18.
Liu, Brian C.‐S., et al.. (1992). Abrogation of the invasion of human bladder tumor cells by using protease inhibitor(s). Cancer. 69(5). 1212–1219. 63 indexed citations
19.
Liu, Brian C.‐S., Robert E. Weiss, Jeffrey N. Gordon, & Michael J. Droller. (1992). Biology of metastasis: Clinical implications. Seminars in Surgical Oncology. 8(5). 267–273. 3 indexed citations
20.
Liu, Brian C.‐S., et al.. (1981). Auxotrophic mutations induced byVibrio choleraemutator phage VcA1. FEMS Microbiology Letters. 11(1). 13–16. 9 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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