Winghing Wong

18.6k citations
16 papers · 587 · 1 hit paper · h-index 11

Impact in

  • Hematology top 5%
    • Acute Myeloid Leukemia Research
    • Hematopoietic Stem Cell Transplantation
  • Genetics top 10%
    • Myeloproliferative Neoplasms: Diagnosis and Treatment

Papers in

Winghing Wong

14 papers receiving 581 citations

Winghing Wong's Hit Papers

The evolutionary dynamics and fitness landscape of clonal hematopoiesis 2020 · 265 citations
2650+2+4Years since publication50100150200250

Peers

Winghing Wong
Comparison fields: 5 of 75
  • Hematology 202
  • Genetics 97
  • Cancer Research 122
  • Insect Science 75
  • Ecology 128
Replace Julian Gutekunst with:
Julian Gutekunst Germany
Tina Hambuch United States
Claudia Isabelle Keller Valsecchi Germany
Seung‐Hye Jung United States
Chun-Ming Huang United States
Michael Ehrhardt United States
Chenguang Zheng China
Andrew Holyoake New Zealand
Pierre Hutter Switzerland
Tereza Ševčíková Czechia
Winghing Wong relative to Julian Gutekunst Germany Julian Gutekunst's profile →
Citations per field
00.5×4.7×
Julian Gutekunst · 1×
Citations per year

Countries citing papers authored by Winghing Wong

Since Specialization
Citations

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

Fields of papers citing papers by Winghing Wong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1
The evolutionary dynamics and fitness landscape of clonal hematopoiesis
Hit paper breakdown →
2020265
2 201685
3 201459
4 202036
5 201835
6 201927
7 202319
8 202014
9 201313
10 202110
11 201810
12 20219
13 20173
14 20182
15 20250
16 20240

About Winghing Wong

Winghing Wong is a scholar working on Molecular Biology, Cancer Research, Hematology, Genetics and Ecology, having authored 16 papers that have together received 587 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (7 papers), Acute Myeloid Leukemia Research (5 papers), Epigenetics and DNA Methylation (3 papers), Genomics and Rare Diseases (2 papers), Environmental DNA in Biodiversity Studies (2 papers), Invertebrate Immune Response Mechanisms (2 papers), Endometriosis Research and Treatment (1 paper) and Acute Lymphoblastic Leukemia research (1 paper). The work is most often cited by research in Hematology (202 citations), Genetics (97 citations), Cancer Research (122 citations), Insect Science (75 citations) and Ecology (128 citations). Winghing Wong has collaborated with scholars based in United States, United Kingdom and Singapore. Frequent co-authors include Todd E. Druley, Andrew L. Young, Jamie R. Blundell, Caroline J. Watson, Daniel S. Fisher, Rudolf Meier, Peter S. Cranston, Darren C. J. Yeo, Heok Hui Tan and Ting Hui Ng. Their work appears in journals such as Blood, Science, eLife, Molecular Ecology Resources and BMC Medical Genomics.

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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