P.L. Yap

3.7k citations
75 papers · 2.0k · h-index 24

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 1.9k citations

Peers

P.L. Yap
Comparison fields: 5 of 90
  • Hepatology 813
  • Virology 265
  • Epidemiology 754
  • Immunology 402
  • Infectious Diseases 344
Replace Norah J. Shire with:
Norah J. Shire United States
Marco Massari Italy
G Raguin France
G. R. Pape Germany
Eva A. Operskalski United States
P.L. Yap United Kingdom
P. V. Holland United States
David H. Yawn United States
Matthew Cramp United Kingdom
M Crovatto Italy
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 1993216
2 2001200
3 1995198
4 1996114
5 1995107
6 199897
7 199569
8 199451
9 198949
10 199648
11 198945
12 199642
13 199836
14 199335
15 199032
16 199632
17 199731
18 200130
19 199027
20
Clinical use of immunoglobulins.
198427

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 2.0k 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 (813 citations), Virology (265 citations), Epidemiology (754 citations), Immunology (402 citations) and Infectious Diseases (344 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, B. C. Dow and F. McOmish. Their work appears in journals such as Journal of Infection, Biochemical Society Transactions, Vox Sanguinis, Annals of Hematology and Prostaglandins Leukotrienes and Essential Fatty Acids.

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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