Jonathan W. Lee

1.4k citations
21 papers · 730 · h-index 12

Impact in

  • Oncology top 10%
    • Pancreatic and Hepatic Oncology Research
    • PARP inhibition in cancer therapy
    • Cancer Immunotherapy and Biomarkers
    • Cancer Genomics and Diagnostics

Papers in

Jonathan W. Lee

16 papers receiving 721 citations

Peers

Jonathan W. Lee
Comparison fields: 5 of 97
  • Oncology 359
  • Cancer Research 196
  • Genetics 85
  • Biological Psychiatry 7
  • Molecular Biology 185
Replace Heike Knüpfer with:
Heike Knüpfer Germany
Junkai Wang China
Thomas I. Barron Ireland
Li Lyu China
Dongjun Dai China
Ao Lin China
Nguyet Le‐Lindqwister United States
Bingbing Fan China
Naureen Javeed United States
Michael Gallagher Ireland
Jonathan W. Lee relative to Heike Knüpfer Germany Heike Knüpfer's profile →
Citations per field
00.5×2×3.1×
Heike Knüpfer · 1×
Citations per year

Countries citing papers authored by Jonathan W. Lee

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan W. Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan W. Lee. 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 Jonathan W. Lee. The network helps show where Jonathan W. Lee may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020273
2 2017126
3 199065
4 201554
5 201729
6 201529
7 201425
8 201725
9 201622
10 201521
11 202020
12 202119
13 20139
14 20208
15 20174
16 20231
17 20230
18 20250
19 20250
20 20240

About Jonathan W. Lee

Jonathan W. Lee is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health, Pulmonary and Respiratory Medicine, Oncology and Surgery, having authored 21 papers that have together received 730 indexed citations. Recurring topics across this work include Neonatal and fetal brain pathology (3 papers), Pancreatic and Hepatic Oncology Research (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), RNA Research and Splicing (2 papers), Neonatal Respiratory Health Research (2 papers), Stress Responses and Cortisol (2 papers), Healthcare cost, quality, practices (1 paper) and Vitamin K Research Studies (1 paper). The work is most often cited by research in Oncology (359 citations), Cancer Research (196 citations), Genetics (85 citations), Biological Psychiatry (7 citations) and Molecular Biology (185 citations). Jonathan W. Lee has collaborated with scholars based in United States, Canada and Taiwan. Frequent co-authors include Marinela Capanu, David P. Kelsen, Maeve A. Lowery, Zsofia K. Stadler, Hedy L. Kindler, Kenneth H. Yu, Alice P. Chen, Talia Golan, Richard Kinh Gian and Eileen M. O’Reilly. Their work appears in journals such as Journal of Clinical Oncology, Mammalian Genome, Journal of Virology, Journal of the American Society of Nephrology and Journal of Nursing Education.

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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