Helen Won

16.5k total citations · 3 hit papers
61 papers, 4.1k citations indexed

About

Helen Won is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Helen Won has authored 61 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 23 papers in Oncology and 18 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Helen Won's work include Cancer Genomics and Diagnostics (14 papers), Lung Cancer Treatments and Mutations (10 papers) and Lung Cancer Research Studies (9 papers). Helen Won is often cited by papers focused on Cancer Genomics and Diagnostics (14 papers), Lung Cancer Treatments and Mutations (10 papers) and Lung Cancer Research Studies (9 papers). Helen Won collaborates with scholars based in United States, United Kingdom and Japan. Helen Won's co-authors include Michael F. Berger, Marc Ladanyi, Sarat Chandarlapaty, José Baselga, Zhiqiang Li, David Chen, Gabriel N. Hortobágyi, Weiyi Toy, Geoffrey L. Greene and Kinisha Gala and has published in prestigious journals such as Nature, Nature Communications and Nature Genetics.

In The Last Decade

Helen Won

60 papers receiving 4.0k citations

Hit Papers

ESR1 ligand-binding domain mutations in hormone-resistant... 2013 2026 2017 2021 2013 2016 2019 250 500 750

Peers

Helen Won
Comparison fields: 5 of 112
  • Molecular Biology 1.9k
  • Oncology 1.8k
  • Pulmonary and Respiratory Medicine 1.4k
  • Cancer Research 1.2k
  • Epidemiology 621
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Citations per field, relative to Helen Won
Helen Won · 1×
Citations per year, relative to Helen Won
Helen Won · 1×

Countries citing papers authored by Helen Won

Since Specialization
Citations

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

Fields of papers citing papers by Helen Won

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Helen Won

This figure shows the co-authorship network connecting the top 25 collaborators of Helen Won. A scholar is included among the top collaborators of Helen Won based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Helen Won. Helen Won is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 12
2 4
3 22
4
High Yield of RNA Sequencing for Targetable Kinase Fusions in Lung Adenocarcinomas with No Mitogenic Driver Alteration Detected by DNA Sequencing and Low Tumor Mutation Burden breakdown →
289
5 28
6 59
7 1
8 73
9
Next-Generation Sequencing of Pulmonary Large Cell Neuroendocrine Carcinoma Reveals Small Cell Carcinoma–like and Non–Small Cell Carcinoma–like Subsets breakdown →
325
10 241
11 85
12 9
13 111
14 49
15 219
16 102
17 50
18 284
19 6
20 44

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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