Helen J. Brown

90 papers receiving 3.4k citations

Helen J. Brown's Hit Papers

EGFR mutation detection in ctDNA from NSCLC patient plasma: A cross-platform comparison of leading technologies to support the clinical development of AZD9291 2015 · 448 citations
4480+3+7Years since publication100200300400

Peers

Helen J. Brown
Comparison fields: 5 of 152
  • Research and Theory 88
  • Virology 412
  • Oncology 1.1k
  • Cancer Research 583
  • Epidemiology 757
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Ming Jie Lee United States
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Joaquı́n Zúñiga Mexico
Sandra L. Gardner Canada
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Isaac Folorunso Adewole Nigeria
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Helen J. Brown relative to Julie Taylor United Kingdom Julie Taylor's profile →
Citations per field
00.5×2×4×6.6×
Julie Taylor · 1×
Citations per year

Countries citing papers authored by Helen J. Brown

Since Specialization
Citations

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

Fields of papers citing papers by Helen J. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 96 papers — load more, or switch the sort, to bring in the rest.

#Work
1
EGFR mutation detection in ctDNA from NSCLC patient plasma: A cross-platform comparison of leading technologies to support the clinical development of AZD9291
Hit paper breakdown →
2015448
2 2014251
3 2010215
4 2003200
5 2001146
6 2013141
7 2016133
8 2015124
9 2002109
10 2020109
11 2003105
12 201988
13 200786
14 201360
15 199959
16
Our land, our language: connecting dispossession and health equity in an indigenous context.
201253
17 200549
18 201949
19 200748
20 201348

About Helen J. Brown

Helen J. Brown is a scholar working on Oncology, Virology, General Health Professions, Hepatology and Health, having authored 96 papers that have together received 3.5k indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (12 papers), Cytomegalovirus and herpesvirus research (8 papers), HIV Research and Treatment (7 papers), Indigenous Health, Education, and Rights (7 papers), Herpesvirus Infections and Treatments (5 papers), Lung Cancer Treatments and Mutations (4 papers), Mental Health and Patient Involvement (4 papers) and Histiocytic Disorders and Treatments (4 papers). The work is most often cited by research in Research and Theory (88 citations), Virology (412 citations), Oncology (1.1k citations), Cancer Research (583 citations) and Epidemiology (757 citations). Helen J. Brown has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Ren Sun, Moon Jung Song, Ting-Ting Wu, Simon Patrick Dearden, Mireille Cantarini, Kenneth Stephen Thress, Suzanne C. Jenkins, Thomas Hedley Carr, J. Carl Barrett and Hongyu Deng. Their work appears in journals such as Journal of Virology, Lung Cancer, Qualitative Health Research, Journal of Hepatology and International Journal of Qualitative Methods.

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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