Jon Coffman

2.0k total citations
43 papers, 1.4k citations indexed

About

Jon Coffman is a scholar working on Molecular Biology, Biomedical Engineering and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jon Coffman has authored 43 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 19 papers in Biomedical Engineering and 9 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jon Coffman's work include Protein purification and stability (27 papers), Viral Infectious Diseases and Gene Expression in Insects (24 papers) and Monoclonal and Polyclonal Antibodies Research (8 papers). Jon Coffman is often cited by papers focused on Protein purification and stability (27 papers), Viral Infectious Diseases and Gene Expression in Insects (24 papers) and Monoclonal and Polyclonal Antibodies Research (8 papers). Jon Coffman collaborates with scholars based in United States, United Kingdom and Finland. Jon Coffman's co-authors include Brian D. Kelley, Jack F. Kramarczyk, Suzanne S. Farid, James Pollock, Sa V. Ho, Ranga Godavarti, Glen Bolton, Thatcher W. Root, E. N. Lightfoot and Henry Lin and has published in prestigious journals such as The Journal of Physical Chemistry B, Journal of Chromatography A and Biotechnology and Bioengineering.

In The Last Decade

Jon Coffman

42 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jon Coffman United States 21 1.2k 497 464 178 77 43 1.4k
Sanchayita Ghose United States 27 1.7k 1.4× 991 2.0× 417 0.9× 210 1.2× 100 1.3× 89 2.0k
Abhinav Shukla United States 13 1.6k 1.3× 982 2.0× 381 0.8× 115 0.6× 93 1.2× 21 1.9k
Mike Hoare United Kingdom 21 1.0k 0.8× 236 0.5× 511 1.1× 62 0.3× 42 0.5× 67 1.5k
Robert Fahrner United States 16 1.2k 0.9× 750 1.5× 286 0.6× 152 0.9× 39 0.5× 19 1.2k
Hervé Broly Switzerland 31 1.9k 1.6× 735 1.5× 500 1.1× 65 0.4× 160 2.1× 68 2.2k
Brian D. Kelley United States 24 1.9k 1.5× 1.1k 2.1× 354 0.8× 197 1.1× 184 2.4× 42 2.4k
David J. Roush United States 21 929 0.8× 393 0.8× 257 0.6× 182 1.0× 25 0.3× 70 1.1k
Anne Tscheließnig Austria 15 760 0.6× 412 0.8× 232 0.5× 121 0.7× 33 0.4× 21 867
Vijesh Kumar India 16 565 0.5× 266 0.5× 149 0.3× 152 0.9× 45 0.6× 31 664
Scott Lute United States 21 998 0.8× 448 0.9× 162 0.3× 55 0.3× 52 0.7× 52 1.3k

Countries citing papers authored by Jon Coffman

Since Specialization
Citations

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

Fields of papers citing papers by Jon Coffman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jon Coffman. 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 Jon Coffman. The network helps show where Jon Coffman may publish in the future.

Co-authorship network of co-authors of Jon Coffman

This figure shows the co-authorship network connecting the top 25 collaborators of Jon Coffman. A scholar is included among the top collaborators of Jon Coffman 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 Jon Coffman. Jon Coffman 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.
Coffman, Jon, et al.. (2024). Effect of inner diameter, filter length, and pore size on hollow fiber filter fouling during perfusion cell culture. Biotechnology Progress. 40(3). e3440–e3440. 1 indexed citations
2.
3.
Cai, Kang, et al.. (2023). Fully integrated downstream process to enable next‐generation manufacturing. Biotechnology and Bioengineering. 120(7). 1869–1881. 8 indexed citations
4.
Joseph, Adrian, et al.. (2023). Leveraging mathematical models for optimizing filter utility at manufacturing scale. Biotechnology and Bioengineering. 120(6). 1584–1591. 1 indexed citations
5.
Coffman, Jon, Mark Brower, Lisa Connell‐Crowley, et al.. (2021). A common framework for integrated and continuous biomanufacturing. Biotechnology and Bioengineering. 118(4). 1735–1749. 57 indexed citations
6.
Coffman, Jon, et al.. (2021). The design basis for the integrated and continuous biomanufacturing framework. Biotechnology and Bioengineering. 118(9). 3323–3333. 19 indexed citations
7.
Coffman, Jon, et al.. (2019). iSKID: From integrated pilot scale runs to GMP implementation approach. 2 indexed citations
8.
Coffman, Jon, et al.. (2019). Novel, linked bioreactor system for continuous production of biologics. Biotechnology and Bioengineering. 116(8). 1946–1958. 12 indexed citations
9.
Coffman, Jon, et al.. (2018). Impact of Dean Vortices on the Integrity Testing of a Continuous Viral Inactivation Reactor. Biotechnology Journal. 14(2). e1700726–e1700726. 13 indexed citations
10.
Lin, Henry, et al.. (2017). Shear contributions to cell culture performance and product recovery in ATF and TFF perfusion systems. Journal of Biotechnology. 246. 52–60. 88 indexed citations
11.
Coffman, Jon, et al.. (2016). Enhancing Faculty Productivity through a Centralized Communications and Project Management Infrastructure: A Case Study at the University of Kentucky Markey Cancer Center. 47(2). 68–78. 2 indexed citations
12.
Pollock, James, Glen Bolton, Jon Coffman, et al.. (2013). Optimising the design and operation of semi-continuous affinity chromatography for clinical and commercial manufacture. Journal of Chromatography A. 1284. 17–27. 109 indexed citations
13.
Boesch, Austin W., et al.. (2013). High throughput quantification of capsular polysaccharides for multivalent vaccines using precipitation with a cationic surfactant. Vaccine. 31(48). 5659–5665. 4 indexed citations
14.
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
15.
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
16.
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
17.
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
18.
Kelley, Brian D., et al.. (2008). High‐throughput screening of chromatographic separations: IV. Ion‐exchange. Biotechnology and Bioengineering. 100(5). 950–963. 97 indexed citations
19.
Coffman, Jon, et al.. (2001). Characterizing the performance of industrial-scale columns. Journal of Chromatography A. 908(1-2). 131–141. 25 indexed citations
20.
Lightfoot, E. N., et al.. (1997). Refining the description of protein chromatography. Journal of Chromatography A. 760(1). 139–149. 18 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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