K.P. Ng

613 citations
6 papers · 518 · h-index 5

Impact in

  • Hematology top 10%
    • Hematopoietic Stem Cell Transplantation
  • Oncology top 10%
    • Inflammatory Biomarkers in Disease Prognosis
    • Cancer Immunotherapy and Biomarkers

Papers in

    • Inflammatory Biomarkers in Disease Prognosis 1
    • Polyomavirus and related diseases 1
    • Pneumocystis jirovecii pneumonia detection and treatment 1
    • Cytomegalovirus and herpesvirus research 1

K.P. Ng

6 papers receiving 506 citations

Peers

K.P. Ng
Comparison fields: 5 of 57
  • Hematology 128
  • Oncology 274
  • Immunology 127
  • Small Animals 32
  • Cancer Research 43
Replace Fábio R. Kerbauy with:
Fábio R. Kerbauy Brazil
W. Grimminger Germany
Fahad Almohareb Saudi Arabia
G J Tibbe Netherlands
Yuichiro Nawa Japan
Antonella Di Mario Italy
Takayuki Tabayashi Japan
Alice Gallagher United Kingdom
J Baró Spain
Roland Reibke Germany
K.P. Ng relative to Fábio R. Kerbauy Brazil Fábio R. Kerbauy's profile →
Citations per field
00.5×3.6×
Fábio R. Kerbauy · 1×
Citations per year

Countries citing papers authored by K.P. Ng

Since Specialization
Citations

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

Fields of papers citing papers by K.P. Ng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside K.P. Ng, 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 K.P. Ng Line = papers co-authored together K.P. Ng links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1 2015279
2
Immune reconstitution following peripheral blood stem cell transplantation, autologous bone marrow transplantation and allogeneic bone marrow transplantation.
1993181
3 201235
4 201214
5 19957
6 20212

About K.P. Ng

K.P. Ng is a scholar working on Oncology, Epidemiology, Transplantation, Surgery and Small Animals, having authored 6 papers that have together received 518 indexed citations. Recurring topics across this work include Pneumocystis jirovecii pneumonia detection and treatment (1 paper), Inflammatory Biomarkers in Disease Prognosis (1 paper), Cytomegalovirus and herpesvirus research (1 paper), Organ Transplantation Techniques and Outcomes (1 paper), Thermal Regulation in Medicine (1 paper), Organ and Tissue Transplantation Research (1 paper), Mesenchymal stem cell research (1 paper) and Polyomavirus and related diseases (1 paper). The work is most often cited by research in Hematology (128 citations), Oncology (274 citations), Immunology (127 citations), Small Animals (32 citations) and Cancer Research (43 citations). K.P. Ng has collaborated with scholars based in Malaysia and Australia. Frequent co-authors include Nur Aishah Mohd Taib, Rafid Salim Jabir, GH Tan, Suniza Jamaris, Nirmala Bhoo‐Pathy, Christopher A. Juttner, Julie Mundy, Marion M. Roberts, Sazaly AbuBakar and Zamros Yuzadi Mohd Yusof. Their work appears in journals such as British Journal of Cancer, Journal of Hospital Infection, Transplantation Proceedings, Transplant Infectious Disease and PubMed.

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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