Peter S. Lu

733 total citations
9 papers, 563 citations indexed

About

Peter S. Lu is a scholar working on Epidemiology, Surgery and Molecular Biology. According to data from OpenAlex, Peter S. Lu has authored 9 papers receiving a total of 563 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Epidemiology, 4 papers in Surgery and 4 papers in Molecular Biology. Recurrent topics in Peter S. Lu's work include Cervical Cancer and HPV Research (5 papers), Genital Health and Disease (4 papers) and Neonatal and fetal brain pathology (2 papers). Peter S. Lu is often cited by papers focused on Cervical Cancer and HPV Research (5 papers), Genital Health and Disease (4 papers) and Neonatal and fetal brain pathology (2 papers). Peter S. Lu collaborates with scholars based in United States, China and Canada. Peter S. Lu's co-authors include Johannes Schweizer, Chester B. Martin, Yuji Murata, Roger Peck, Joshua D. Rabinowitz, Hong‐Shuo Sun, Michael Tymianski, R. Andrew Tasker, Yu Tian Wang and José Jerónimo and has published in prestigious journals such as The Journal of Experimental Medicine, Journal of Neuroscience and Journal of Clinical Microbiology.

In The Last Decade

Peter S. Lu

9 papers receiving 552 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter S. Lu United States 8 249 178 102 99 74 9 563
Nobuko Yamashita Japan 14 120 0.5× 100 0.6× 89 0.9× 79 0.8× 83 1.1× 34 599
Xiaopan Wu China 18 346 1.4× 219 1.2× 81 0.8× 55 0.6× 51 0.7× 38 829
D. Cory Adamson United States 13 225 0.9× 161 0.9× 70 0.7× 83 0.8× 43 0.6× 22 890
Christine Reyes United States 13 74 0.3× 165 0.9× 57 0.6× 56 0.6× 56 0.8× 22 586
Manabu Tanaka Japan 14 101 0.4× 141 0.8× 64 0.6× 29 0.3× 102 1.4× 50 739
Ryo Terada Japan 16 317 1.3× 124 0.7× 155 1.5× 120 1.2× 49 0.7× 24 643
Thomas D. Palella United States 14 229 0.9× 457 2.6× 55 0.5× 76 0.8× 29 0.4× 28 827
Elizabeth Donnachie United States 11 49 0.2× 161 0.9× 43 0.4× 55 0.6× 81 1.1× 19 591
A. Olson United States 7 171 0.7× 310 1.7× 183 1.8× 53 0.5× 14 0.2× 22 666
John M. Andrews United States 15 57 0.2× 190 1.1× 66 0.6× 100 1.0× 67 0.9× 24 621

Countries citing papers authored by Peter S. Lu

Since Specialization
Citations

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

Fields of papers citing papers by Peter S. Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter S. Lu. 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 Peter S. Lu. The network helps show where Peter S. Lu may publish in the future.

Co-authorship network of co-authors of Peter S. Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Peter S. Lu. A scholar is included among the top collaborators of Peter S. Lu 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 Peter S. Lu. Peter S. Lu 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.
Zhao, Fanghui, José Jerónimo, You‐Lin Qiao, et al.. (2013). An Evaluation of Novel, Lower-Cost Molecular Screening Tests for Human Papillomavirus in Rural China. Cancer Prevention Research. 6(9). 938–948. 88 indexed citations
2.
Qiao, You‐Lin, José Jerónimo, Fanghui Zhao, et al.. (2013). Lower cost strategies for triage of human papillomavirus DNA‐positive women. International Journal of Cancer. 134(12). 2891–2901. 74 indexed citations
3.
Sellors, John W., Johannes Schweizer, Peter S. Lu, et al.. (2011). Association of Elevated E6 Oncoprotein With Grade of Cervical Neoplasia Using PDZ Interaction-Mediated Precipitation of E6. Journal of Lower Genital Tract Disease. 15(2). 169–176. 7 indexed citations
4.
Schweizer, Johannes, Peter S. Lu, Roger Peck, et al.. (2010). Feasibility Study of a Human Papillomavirus E6 Oncoprotein Test for Diagnosis of Cervical Precancer and Cancer. Journal of Clinical Microbiology. 48(12). 4646–4648. 52 indexed citations
5.
Cui, Hong, Hong‐Shuo Sun, Michael P. Belmares, et al.. (2007). PDZ Protein Interactions Underlying NMDA Receptor-Mediated Excitotoxicity and Neuroprotection by PSD-95 Inhibitors. Journal of Neuroscience. 27(37). 9901–9915. 165 indexed citations
6.
Peck, Roger, Johannes Schweizer, Bernhard H. Weigl, et al.. (2006). A Magnetic Immunochromatographic Strip Test for Detection of Human Papillomavirus 16 E6. Clinical Chemistry. 52(11). 2170–2172. 28 indexed citations
7.
Lu, Peter S., Yen‐Jen Sung, Tony Yao, et al.. (1998). Differential Effect of B Lymphocyte–induced Maturation Protein (Blimp-1) Expression on Cell Fate during B Cell Development. The Journal of Experimental Medicine. 188(3). 515–525. 76 indexed citations
8.
Martin, Chester B., et al.. (1981). Effect of acute hypoxemia and respiratory acidosis on the fetal heart rate in monkeys. American Journal of Obstetrics and Gynecology. 141(7). 797–806. 36 indexed citations
9.
Murata, Yuji, Chester B. Martin, Tsuyomu Ikenoue, & Peter S. Lu. (1978). Antepartum evaluation of the pre-ejection period of the fetal cardiac cycle. American Journal of Obstetrics and Gynecology. 132(3). 278–284. 37 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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