Peter S. Lu

740 citations
9 papers · 588 · h-index 8

Impact in

Papers in

    • Cervical Cancer and HPV Research 5
    • Congenital Heart Disease Studies 1
    • Hepatitis B Virus Studies 1
    • Genital Health and Disease 3

Peter S. Lu

9 papers receiving 570 citations

Peers

Peter S. Lu
Comparison fields: 5 of 76
  • Epidemiology 247
  • Cellular and Molecular Neuroscience 102
  • Neurology 36
  • Microbiology 24
  • Immunology 66
Replace Julie Fotheringham with:
Julie Fotheringham United States
Claudia Bonardi Italy
Caroline Schönfeld Germany
John M. Andrews United States
J. Ridings Australia
Clara Erice United States
Alexandra Smith United States
Georg Pilz Austria
Tommy Stödberg Sweden
Li Cui China
Peter S. Lu relative to Julie Fotheringham United States Julie Fotheringham's profile →
Citations per field
00.5×2.7×
Julie Fotheringham · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Peter S. Lu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Peter S. Lu Line = papers co-authored together Peter S. Lu links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2007176
2 201390
3 199878
4 201375
5 201055
6 198140
7 197837
8 200630
9 20117

About Peter S. Lu

Peter S. Lu is a scholar working on Epidemiology, Surgery, Molecular Biology, Pediatrics, Perinatology and Child Health and Critical Care and Intensive Care Medicine, having authored 9 papers that have together received 588 indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (5 papers), Genital Health and Disease (3 papers), Neonatal and fetal brain pathology (2 papers), Molecular Biology Techniques and Applications (2 papers), Congenital Heart Disease Studies (1 paper), Immunotherapy and Immune Responses (1 paper), Hepatitis B Virus Studies (1 paper) and T-cell and B-cell Immunology (1 paper). The work is most often cited by research in Epidemiology (247 citations), Cellular and Molecular Neuroscience (102 citations), Neurology (36 citations), Microbiology (24 citations) and Immunology (66 citations). Peter S. Lu has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Johannes Schweizer, Roger Peck, Yuji Murata, Chester B. Martin, Yu Tian Wang, Joshua D. Rabinowitz, Hong Cui, David Garman, Michael W. Salter and Michael P. Belmares. Their work appears in journals such as American Journal of Obstetrics and Gynecology, Clinical Chemistry, Journal of Clinical Microbiology, International Journal of Cancer and Journal of Lower Genital Tract Disease.

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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