Brian D. Kelley

3.3k total citations
42 papers, 2.4k citations indexed

About

Brian D. Kelley is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Immunology. According to data from OpenAlex, Brian D. Kelley has authored 42 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 19 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Immunology. Recurrent topics in Brian D. Kelley's work include Protein purification and stability (25 papers), Monoclonal and Polyclonal Antibodies Research (19 papers) and Viral Infectious Diseases and Gene Expression in Insects (14 papers). Brian D. Kelley is often cited by papers focused on Protein purification and stability (25 papers), Monoclonal and Polyclonal Antibodies Research (19 papers) and Viral Infectious Diseases and Gene Expression in Insects (14 papers). Brian D. Kelley collaborates with scholars based in United States, United Kingdom and Switzerland. Brian D. Kelley's co-authors include Jon Coffman, Jack F. Kramarczyk, Daniel I. C. Wang, Eliana De Bernardez Clark, James A. Booth, T. Alan Hatton, Mathias Uhlén, Per‐Åke Nygren, Olof Nord and Marek Jankowski and has published in prestigious journals such as Nature Biotechnology, Analytical Chemistry and Neurology.

In The Last Decade

Brian D. Kelley

42 papers receiving 2.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Brian D. Kelley United States 24 1.9k 1.1k 354 197 196 42 2.4k
Sanchayita Ghose United States 27 1.7k 0.9× 991 0.9× 417 1.2× 210 1.1× 72 0.4× 89 2.0k
Hervé Broly Switzerland 31 1.9k 1.0× 735 0.7× 500 1.4× 65 0.3× 150 0.8× 68 2.2k
Miranda G.S. Yap Singapore 30 3.0k 1.6× 720 0.7× 261 0.7× 121 0.6× 376 1.9× 57 3.3k
Viktor Menart Slovenia 15 996 0.5× 340 0.3× 202 0.6× 139 0.7× 164 0.8× 28 1.4k
Rainer Hahn Austria 29 2.2k 1.2× 953 0.9× 817 2.3× 636 3.2× 99 0.5× 95 2.8k
Djuro Josić United States 28 1.9k 1.0× 595 0.6× 814 2.3× 796 4.0× 91 0.5× 96 2.7k
Ruei‐Min Lu Taiwan 14 1.5k 0.8× 920 0.9× 308 0.9× 59 0.3× 149 0.8× 18 2.5k
Takeshi Ōmasa Japan 29 2.1k 1.1× 549 0.5× 426 1.2× 40 0.2× 299 1.5× 168 2.8k
Ji Qiu United States 26 1.2k 0.7× 743 0.7× 205 0.6× 196 1.0× 32 0.2× 72 2.0k
Duraikkannu Loganathan India 21 1.6k 0.9× 342 0.3× 118 0.3× 120 0.6× 119 0.6× 64 2.2k

Countries citing papers authored by Brian D. Kelley

Since Specialization
Citations

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

Fields of papers citing papers by Brian D. Kelley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian D. Kelley. 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 Brian D. Kelley. The network helps show where Brian D. Kelley may publish in the future.

Co-authorship network of co-authors of Brian D. Kelley

This figure shows the co-authorship network connecting the top 25 collaborators of Brian D. Kelley. A scholar is included among the top collaborators of Brian D. Kelley 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 Brian D. Kelley. Brian D. Kelley 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
1.
Kelley, Brian D., et al.. (2022). Monoclonal antibody therapies for COVID-19: lessons learned and implications for the development of future products. Current Opinion in Biotechnology. 78. 102798–102798. 23 indexed citations
2.
Kelley, Brian D.. (2020). Developing therapeutic monoclonal antibodies at pandemic pace. Nature Biotechnology. 38(5). 540–545. 117 indexed citations
3.
Kelley, Brian D., Róbert Kiss, & Michael W. Laird. (2018). A Different Perspective: How Much Innovation Is Really Needed for Monoclonal Antibody Production Using Mammalian Cell Technology?. Advances in biochemical engineering, biotechnology. 165. 443–462. 37 indexed citations
4.
Kelley, Brian D., et al.. (2016). Process characterization and Design Space definition. Biologicals. 44(5). 306–318. 51 indexed citations
5.
Kelley, Brian D., et al.. (2016). Integration of QbD risk assessment tools and overall risk management. Biologicals. 44(5). 341–351. 27 indexed citations
6.
Kelley, Brian D.. (2016). Quality by Design risk assessments supporting approved antibody products. mAbs. 8(8). 1435–1436. 11 indexed citations
7.
Bolton, Glen, et al.. (2010). Effect of protein and solution properties on the donnan effect during the ultrafiltration of proteins. Biotechnology Progress. 27(1). 140–152. 56 indexed citations
8.
Kelley, Brian D., Marek Jankowski, & James A. Booth. (2009). An improved manufacturing process for Xyntha/ReFacto AF. Haemophilia. 16(5). 717–725. 43 indexed citations
9.
Coffman, Jon, Jack F. Kramarczyk, & Brian D. Kelley. (2008). High‐throughput screening of chromatographic separations: I. Method development and column modeling. Biotechnology and Bioengineering. 100(4). 605–618. 174 indexed citations
10.
Kelley, Brian D., et al.. (2008). Weak partitioning chromatography for anion exchange purification of monoclonal antibodies. Biotechnology and Bioengineering. 101(3). 553–566. 95 indexed citations
11.
Kramarczyk, Jack F., Brian D. Kelley, & Jon Coffman. (2008). High‐throughput screening of chromatographic separations: II. Hydrophobic interaction. Biotechnology and Bioengineering. 100(4). 707–720. 95 indexed citations
12.
Kelley, Brian D., et al.. (2008). High‐throughput screening of chromatographic separations: III. Monoclonal antibodies on ceramic hydroxyapatite. Biotechnology and Bioengineering. 100(5). 839–854. 67 indexed citations
13.
14.
Kelley, Brian D., et al.. (2007). Viral clearance studies on new and used chromatography resins: Critical review of a large dataset. Biologicals. 36(2). 88–98. 17 indexed citations
15.
Foltz, David W., et al.. (2006). Combined mitochondrial and nuclear sequences support the monophyly of forcipulatacean sea stars. Molecular Phylogenetics and Evolution. 43(2). 627–634. 23 indexed citations
16.
17.
Kelley, Brian D., et al.. (2004). Development and validation of an affinity chromatography step using a peptide ligand for cGMP production of factor VIII. Biotechnology and Bioengineering. 87(3). 400–412. 34 indexed citations
18.
Kelley, Brian D., et al.. (1997). Effect of Inclusion Body Contaminants on the Oxidative Renaturation of Hen Egg White Lysozyme. Biotechnology Progress. 13(2). 144–150. 93 indexed citations
19.
Kelley, Brian D., Daniel I. C. Wang, & T. Alan Hatton. (1993). Affinity‐based reversed micellar protein extraction: II. Effect of cosurfactant tail length. Biotechnology and Bioengineering. 42(10). 1209–1217. 42 indexed citations
20.
Forrester, Ian T., Anthony C. Grabski, Chittra Mishra, et al.. (1990). Characteristics and N-terminal amino acid sequence of a manganese peroxidase purified from Lentinula edodes cultures grown on a commercial wood substrate. Applied Microbiology and Biotechnology. 33(3). 359–365. 71 indexed citations

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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