Julia Lai‐Kwon

864 citations
51 papers · 472 · h-index 13

Impact in

  • Oncology top 10%
    • Cancer survivorship and care
    • Cutaneous Melanoma Detection and Management
    • Cancer Immunotherapy and Biomarkers
    • Lung Cancer Research Studies
    • CAR-T cell therapy research

Papers in

Julia Lai‐Kwon

46 papers receiving 468 citations

Peers

Julia Lai‐Kwon
Comparison fields: 5 of 68
  • Oncology 231
  • Dermatology 16
  • Statistics and Probability 14
  • Public Health, Environmental and Occupational Health 43
  • Pediatrics, Perinatology and Child Health 26
Replace P. Cervi with:
P. Cervi United Kingdom
Thomas P. C. Chu United Kingdom
Keqin Qi United States
Denise Casey United States
Adane F. Wogu United States
Mary Lynn Savoie Canada
P. Nadella United States
E. Chouinard Canada
Luciana GO Clark Brazil
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Citations per field
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Citations per year

Countries citing papers authored by Julia Lai‐Kwon

Since Specialization
Citations

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

Fields of papers citing papers by Julia Lai‐Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Julia Lai‐Kwon. 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 Julia Lai‐Kwon. The network helps show where Julia Lai‐Kwon may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201939
2 202136
3 201932
4 201531
5 202030
6 202327
7 202123
8 202023
9 202321
10 201415
11 202115
12 202014
13 201514
14 202412
15 202212
16 201312
17 202311
18 202310
19 202210
20 20148

About Julia Lai‐Kwon

Julia Lai‐Kwon is a scholar working on Oncology, Public Health, Environmental and Occupational Health, Infectious Diseases, Molecular Biology and Pediatrics, Perinatology and Child Health, having authored 51 papers that have together received 472 indexed citations. Recurring topics across this work include Cancer survivorship and care (13 papers), Palliative Care and End-of-Life Issues (6 papers), Cutaneous Melanoma Detection and Management (4 papers), Childhood Cancer Survivors' Quality of Life (4 papers), Dermatological diseases and infestations (3 papers), Ethics in Clinical Research (3 papers), Cancer Genomics and Diagnostics (2 papers) and Cancer-related cognitive impairment studies (2 papers). The work is most often cited by research in Oncology (231 citations), Dermatology (16 citations), Statistics and Probability (14 citations), Public Health, Environmental and Occupational Health (43 citations) and Pediatrics, Perinatology and Child Health (26 citations). Julia Lai‐Kwon has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Michael Jefford, Anna Minchom, Karolina Lisy, Claudia Rutherford, Shahneen Sandhu, Christina Yap, Tracey Weiland, Alvin H Chong, George A Jelinek and Donna Milne. Their work appears in journals such as BMJ Open, European Journal of Cancer, Australasian Journal of Dermatology, Journal of Cancer Survivorship and JCO Oncology Practice.

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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