P Yap

1.0k citations
23 papers · 775 · h-index 15

Impact in

  • Hepatology top 5%
    • Liver Disease and Transplantation
    • Liver physiology and pathology
    • Drug-Induced Hepatotoxicity and Protection
    • Pharmacogenetics and Drug Metabolism
    • Drug-Induced Adverse Reactions

Papers in

    • Liver Disease and Transplantation 6
    • Liver physiology and pathology 2
    • Hepatitis C virus research 2
    • Organ Transplantation Techniques and Outcomes 4

P Yap

22 papers receiving 738 citations

Peers

P Yap
Comparison fields: 5 of 92
  • Hepatology 239
  • Pharmacology 203
  • Transplantation 13
  • Geriatrics and Gerontology 16
  • Pharmacology 75
Replace Janet R. Wade with:
Janet R. Wade United States
Fei Gao China
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Eleni Theocharidou United Kingdom
Yvonne Ayerki Nartey Ghana
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P Yap relative to Janet R. Wade United States Janet R. Wade's profile →
Citations per field
00.5×1.5×2.3×
Janet R. Wade · 1×
Citations per year

Countries citing papers authored by P Yap

Since Specialization
Citations

This map shows the geographic impact of P 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 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 Yap more than expected).

Fields of papers citing papers by P Yap

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999227
2 201699
3 199593
4 200779
5 199544
6 199729
7 201528
8 199926
9 200525
10 199619
11 199519
12 200419
13 200617
14 199816
15 200314
16 19977
17 19995
18
Effectiveness and tolerability of pegylated interferon alfa-2b in combination with ribavirin for treatment of chronic hepatitis C: the PegIntrust study.
20103
19
Patients transplanted for hepatitis C should not receive livers from older donors
20012
20 20002

About P Yap

P Yap is a scholar working on Hepatology, Surgery, Molecular Biology, Epidemiology and Oncology, having authored 23 papers that have together received 775 indexed citations. Recurring topics across this work include Liver Disease and Transplantation (6 papers), Organ Transplantation Techniques and Outcomes (4 papers), Liver physiology and pathology (2 papers), Drug-Induced Hepatotoxicity and Protection (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Hepatitis C virus research (2 papers), Fibroblast Growth Factor Research (2 papers) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Hepatology (239 citations), Pharmacology (203 citations), Transplantation (13 citations), Geriatrics and Gerontology (16 citations) and Pharmacology (75 citations). P Yap has collaborated with scholars based in Belgium, United States and Singapore. Frequent co-authors include Tania Roskams, Ting Tang, Johan Fevery, Valeer Desmet, Genc Basha, L Verbist, Yves Horsmans, André Geubel, Han Moshage and P. Michielsen. Their work appears in journals such as American Journal of Transplantation, Hepatology, British journal of surgery, Tumor Biology and Gastroenterology.

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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