Jared S. Bee

2.0k citations
34 papers · 1.6k indexed · h-index 20

Impact in

Papers in

Jared S. Bee

34 papers receiving 1.5k citations

Peers

Jared S. Bee
Comparison fields: 5 of 109
  • Radiology, Nuclear Medicine and Imaging 643
  • Molecular Biology 1.2k
  • Pharmaceutical Science 94
  • Occupational Therapy 51
  • Biotechnology 85
Replace Margaret Speed Ricci with:
Margaret Speed Ricci United States
Michael Wiggenhorn Germany
David L. Zeng United States
Michaela Blech Germany
Erwin Freund United States
Aditya A. Wakankar United States
Barthélemy Demeule Switzerland
Karoline Bechtold-Peters Switzerland
Tarik A. Khan Switzerland
Roman Mathaes Switzerland
Jared S. Bee relative to Margaret Speed Ricci United States Margaret Speed Ricci's profile →
Citations per field
00.5×1.5×1.9×
Margaret Speed Ricci · 1×
Citations per year

Countries citing papers authored by Jared S. Bee

Since Specialization
Citations

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

Fields of papers citing papers by Jared S. Bee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jared S. Bee. 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 Jared S. Bee. The network helps show where Jared S. Bee may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202218
2 202212
3 20213
4 202121
5 202114
6 201912
7 201855
8 201856
9 20178
10 201614
11 201619
12 201584
13 201412
14 2014151
15 201414
16 201263
17 201152
18 2009120
19 200987
20 200977

About Jared S. Bee

Jared S. Bee is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology, Biotechnology, Pharmaceutical Science and Infectious Diseases, having authored 34 papers that have together received 1.6k indexed citations. Recurring topics across this work include Protein purification and stability (25 papers), Monoclonal and Polyclonal Antibodies Research (19 papers), Viral Infectious Diseases and Gene Expression in Insects (10 papers), Virus-based gene therapy research (4 papers), Microfluidic and Bio-sensing Technologies (4 papers), Glycosylation and Glycoproteins Research (3 papers), Viral gastroenteritis research and epidemiology (3 papers) and Microfluidic and Capillary Electrophoresis Applications (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (643 citations), Molecular Biology (1.2k citations), Pharmaceutical Science (94 citations), Occupational Therapy (51 citations) and Biotechnology (85 citations). Jared S. Bee has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include John F. Carpenter, Theodore W. Randolph, Erwin Freund, Jennifer L. Stevenson, Daniel K. Schwartz, Alana Gerhardt, Mariana N. Dimitrova, Steven M. Bishop, Rachael A. Lewus and Juraj Švitel. Their work appears in journals such as Journal of Pharmaceutical Sciences, Biotechnology and Bioengineering, International Journal of Pharmaceutics, Journal of Biological Chemistry and Biotechnology Progress.

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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