P.L. Yap

3.7k citations
75 papers · 2.1k · h-index 25

Impact in

Papers in

    • Immunodeficiency and Autoimmune Disorders 17
    • Immune Response and Inflammation 10
    • Hepatitis B Virus Studies 9
    • Liver Disease Diagnosis and Treatment 6

P.L. Yap

73 papers receiving 2.0k citations

Peers

P.L. Yap
Comparison fields: 5 of 90
  • Hepatology 847
  • Virology 278
  • Epidemiology 808
  • Immunology 432
  • Infectious Diseases 367
Replace Norah J. Shire with:
Norah J. Shire United States
G Raguin France
H. J. Alter United States
Marco Massari Italy
G. R. Pape Germany
C A Ludlam United Kingdom
P.L. Yap United Kingdom
David H. Yawn United States
Eva A. Operskalski United States
P. V. Holland United States
P.L. Yap relative to Norah J. Shire United States Norah J. Shire's profile →
Citations per field
00.5×1.5×
Norah J. Shire · 1×
Citations per year

Countries citing papers authored by P.L. Yap

Since Specialization
Citations

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

Fields of papers citing papers by P.L. Yap

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside P.L. Yap, 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 P.L. Yap Line = papers co-authored together P.L. Yap links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993224
2 2001209
3 1995204
4 1996123
5 1995113
6 1998104
7 199569
8 198955
9 199453
10 199648
11 199647
12 198945
13 199739
14 199337
15 199837
16 199634
17 200132
18 199032
19 199028
20
Clinical use of immunoglobulins.
198428

About P.L. Yap

P.L. Yap is a scholar working on Immunology, Epidemiology, Hepatology, Virology and Hematology, having authored 75 papers that have together received 2.1k indexed citations. Recurring topics across this work include Hepatitis C virus research (17 papers), Immunodeficiency and Autoimmune Disorders (17 papers), HIV Research and Treatment (13 papers), Immune Response and Inflammation (10 papers), Hepatitis B Virus Studies (9 papers), Blood groups and transfusion (9 papers), Monoclonal and Polyclonal Antibodies Research (8 papers) and Liver Disease Diagnosis and Treatment (6 papers). The work is most often cited by research in Hepatology (847 citations), Virology (278 citations), Epidemiology (808 citations), Immunology (432 citations) and Infectious Diseases (367 citations). P.L. Yap has collaborated with scholars based in United Kingdom, Ireland and United States. Frequent co-authors include Peter Simmonds, H.A. Leaver, Fordyce A. Davidson, W. S. G. Walker, Stewart R. Craig, G.C. Pugh, Donald B. Smith, J. Power, Ray P. Brettle and B. C. Dow. Their work appears in journals such as Journal of Infection, Biochemical Society Transactions, Vox Sanguinis, Annals of Hematology and Journal of Medical Virology.

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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