Barton J. Dear

484 citations
12 papers · 408 · h-index 12

Impact in

Papers in

Barton J. Dear

12 papers receiving 396 citations

Peers

Barton J. Dear
Comparison fields: 5 of 51
  • Radiology, Nuclear Medicine and Imaging 228
  • Molecular Biology 355
  • Pharmaceutical Science 25
  • Biomedical Engineering 137
  • Biotechnology 27
Replace Mary D.H. Nguyen with:
Mary D.H. Nguyen United States
Shubhadra N. Singh United States
Renuka Thirumangalathu United States
Arun Parupudi United States
Rachael A. Lewus United States
Cavan Kalonia United States
Douglas P. Nesta United States
Andrew A. Kosky United States
Hanjin Seo South Korea
Kristin N. Valente United States
Barton J. Dear relative to Mary D.H. Nguyen United States Mary D.H. Nguyen's profile →
Citations per field
00.5×3.8×
Mary D.H. Nguyen · 1×
Citations per year

Countries citing papers authored by Barton J. Dear

Since Specialization
Citations

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

Fields of papers citing papers by Barton J. Dear

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Barton J. Dear, 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 Barton J. Dear Line = papers co-authored together Barton J. Dear links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 201662
2 201847
3 201938
4 201638
5 201636
6 201935
7 201734
8 202034
9 201928
10 201920
11 201918
12 201418

About Barton J. Dear

Barton J. Dear is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Materials Chemistry and Electronic, Optical and Magnetic Materials, having authored 12 papers that have together received 408 indexed citations. Recurring topics across this work include Protein purification and stability (11 papers), Monoclonal and Polyclonal Antibodies Research (9 papers), Microfluidic and Capillary Electrophoresis Applications (5 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers), Enzyme Structure and Function (2 papers), Protein Structure and Dynamics (2 papers), Microfluidic and Bio-sensing Technologies (1 paper) and Gold and Silver Nanoparticles Synthesis and Applications (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (228 citations), Molecular Biology (355 citations), Pharmaceutical Science (25 citations), Biomedical Engineering (137 citations) and Biotechnology (27 citations). Barton J. Dear has collaborated with scholars based in United States and France. Frequent co-authors include Keith P. Johnston, Thomas M. Truskett, Jessica Hung, Ameya U. Borwankar, Jason K. Cheung, Jonathan A. Bollinger, Jennifer A. Maynard, P. Douglas Godfrin, Brian K. Wilson and Andrew D. Ellington. Their work appears in journals such as Pharmaceutical Research, Molecular Pharmaceutics, Industrial & Engineering Chemistry Research, The Journal of Physical Chemistry B and Journal of Pharmaceutical Sciences.

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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