John W. Brown

295 papers receiving 11.3k citations

John W. Brown's Hit Papers

Alternative Splicing at the Intersection of Biological Timing, Development, and Stress Responses 2013 · 509 citations
5090+4+9Years since publication200400600

Peers

John W. Brown
Comparison fields: 5 of 158
  • Plant Science 2.9k
  • Internal Medicine 227
  • Cardiology and Cardiovascular Medicine 1.3k
  • Epidemiology 2.0k
  • Molecular Biology 4.3k
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M J Karnovsky United States
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Citations per field
00.5×10×15×18.6×
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Citations per year

Countries citing papers authored by John W. Brown

Since Specialization
Citations

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

Fields of papers citing papers by John W. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 304 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Transcriptome survey reveals increased complexity of the alternative splicing landscape in Arabidopsis
Hit paper breakdown →
2012625
2
Alternative Splicing at the Intersection of Biological Timing, Development, and Stress Responses
Hit paper breakdown →
2013509
3 2012393
4 2011381
5 2014283
6 2012273
7 2010265
8 2018214
9 1990200
10 2017187
11 2005137
12 1998133
13 2003132
14 2012126
15 1998124
16 1996122
17 2009122
18 1995112
19 1984103
20 2020100

About John W. Brown

John W. Brown is a scholar working on Molecular Biology, Epidemiology, Surgery, Pulmonary and Respiratory Medicine and Cardiology and Cardiovascular Medicine, having authored 304 papers that have together received 11.6k indexed citations. Recurring topics across this work include Congenital Heart Disease Studies (49 papers), RNA Research and Splicing (41 papers), Cardiac Valve Diseases and Treatments (30 papers), RNA and protein synthesis mechanisms (30 papers), RNA modifications and cancer (29 papers), Aortic Disease and Treatment Approaches (22 papers), Cardiac Structural Anomalies and Repair (14 papers) and Plant Molecular Biology Research (13 papers). The work is most often cited by research in Plant Science (2.9k citations), Internal Medicine (227 citations), Cardiology and Cardiovascular Medicine (1.3k citations), Epidemiology (2.0k citations) and Molecular Biology (4.3k citations). John W. Brown has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Mark W. Turrentine, Craig G. Simpson, Mark D. Rodefeld, Dorothee Staiger, Maria Kalyna, Andrea Barta, Mark Ruzmetov, Yamile Márquez, Palaniswamy Vijay and Naeem H. Syed. Their work appears in journals such as The Annals of Thoracic Surgery, Journal of Thoracic and Cardiovascular Surgery, The Plant Cell, Journal of Surgical Research and The Plant Journal.

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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