Conan J. Fee

2.7k total citations · 1 hit paper
93 papers, 2.1k citations indexed

About

Conan J. Fee is a scholar working on Molecular Biology, Biomedical Engineering and Biomaterials. According to data from OpenAlex, Conan J. Fee has authored 93 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 26 papers in Biomedical Engineering and 13 papers in Biomaterials. Recurrent topics in Conan J. Fee's work include Protein purification and stability (20 papers), Polymer Surface Interaction Studies (10 papers) and Microfluidic and Capillary Electrophoresis Applications (10 papers). Conan J. Fee is often cited by papers focused on Protein purification and stability (20 papers), Polymer Surface Interaction Studies (10 papers) and Microfluidic and Capillary Electrophoresis Applications (10 papers). Conan J. Fee collaborates with scholars based in New Zealand, Australia and United Kingdom. Conan J. Fee's co-authors include James M. Van Alstine, Simone Dimartino, Suhas Nawada, Syed M. Saufi, Daniel J. Holland, Vinod B. Damodaran, Ken R. Morison, T.M. Cocker, Rachel A. Evans and Ketul C. Popat and has published in prestigious journals such as Analytical Chemistry, Journal of Power Sources and Langmuir.

In The Last Decade

Conan J. Fee

89 papers receiving 2.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Characterisation of Heat Transfer within 3D Printed TPMS Heat Exchangers

2023 111 citations Conan J. Fee, Ken R. Morison et al. International Journal of Heat and Mass Transfer profile →

Peers

Conan J. Fee

MB

BE

BIOMA

ME

MC

Hui Zhu China

Herwig Brunner Germany

Hong Zhao China

Minmin Li China

Yavuz Nuri Ertaş Türkiye

Xiaoting Li China

Sung‐Wook Choi South Korea

Jin‐Ho Lee South Korea

Maike Windbergs Germany

Hui Zhu China

Conan J. Fee

825 ×1.1

MB

634 ×1.0

BE

391 ×1.3

BIOMA

123 ×0.5

ME

206 ×0.9

MC

Citations per year, relative to Conan J. Fee Conan J. Fee (= 1×) peers Hui Zhu

Countries citing papers authored by Conan J. Fee

Since Specialization

Citations

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

Fields of papers citing papers by Conan J. Fee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Conan J. Fee

This figure shows the co-authorship network connecting the top 25 collaborators of Conan J. Fee. A scholar is included among the top collaborators of Conan J. Fee 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 Conan J. Fee. Conan J. Fee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Symons, Digby, et al.. (2024). Validation of Continuous Conjugate Heat Transfer Model through Experimental Data. Heat Transfer Engineering. 46(11). 919–927. 3 indexed citations

2.

Allison, Timothy M., et al.. (2024). Purification of his-tagged proteins using printed monolith adsorption columns. Journal of Chromatography A. 1733. 465216–465216. 3 indexed citations

3.

Fee, Conan J., et al.. (2023). Characterisation of Heat Transfer within 3D Printed TPMS Heat Exchangers. International Journal of Heat and Mass Transfer. 212. 124264–124264. 111 indexed citations breakdown →

4.

Holland, Daniel J., et al.. (2023). Performance of various 3D‐printed monolith geometries as an alternative to expanded bed adsorption for protein purification. Biotechnology and Bioengineering. 121(8). 2278–2288. 5 indexed citations

5.

Fee, Conan J., et al.. (2023). A versatile capillaric circuits microfluidic viscometer. Sensors and Actuators A Physical. 359. 114497–114497. 7 indexed citations

6.

Fee, Conan J., et al.. (2022). Capillaric field effect transistors. Microsystems & Nanoengineering. 8(1). 5 indexed citations

7.

Fee, Conan J., et al.. (2018). GMA‐based emulsion‐templated solid foams: Influence of co‐crosslinker on morphology and mechanical properties. Journal of Applied Polymer Science. 135(21). 14 indexed citations

8.

Lewis, John G., et al.. (2016). Corticosteroid-binding globulin (CBG) reactive centre loop antibodies and surface plasmon resonance interrogate the proposed heat dependent “flip-flop” mechanism of human CBG. The Journal of Steroid Biochemistry and Molecular Biology. 158. 38–45. 9 indexed citations

9.

Fee, Conan J., Suhas Nawada, & Simone Dimartino. (2014). 3D printed porous media columns with fine control of column packing morphology. Journal of Chromatography A. 1333. 18–24. 143 indexed citations

10.

Fee, Conan J., et al.. (2013). An Interactive Virtual Tour of a Milk Powder Plant.. Chemical Engineering Education. 47(2). 107–114. 1 indexed citations

11.

Morison, Ken R., Andreas Duenser, Brent R. Young, et al.. (2012). Discoveries from students' interactions with an immersive learning application. University of Canterbury Research Repository (University of Canterbury). 969. 1 indexed citations

12.

Dimartino, Simone, et al.. (2012). Adsorption of proteins on stainless steel surfaces. 81. 2 indexed citations

13.

Morison, Ken R., Andreas Duenser, Brent R. Young, et al.. (2011). Recent Developments with an Immersive Learning Tool Using a Milk Powder Production Application. 1137. 4 indexed citations

14.

Fee, Conan J., et al.. (2011). Effects of PEG size on structure, function and stability of PEGylated BSA. European Journal of Pharmaceutics and Biopharmaceutics. 79(2). 399–405. 72 indexed citations

15.

Damodaran, Vinod B. & Conan J. Fee. (2010). Protein PEGylation: An overview of chemistry and process considerations. 15(1). 18–26. 21 indexed citations

16.

Billakanti, Jagan & Conan J. Fee. (2009). Characterization of cryogel monoliths for extraction of minor proteins from milk by cation exchange. Biotechnology and Bioengineering. 103(6). 1155–1163. 24 indexed citations

17.

Saufi, Syed M. & Conan J. Fee. (2009). Fractionation of β‐Lactoglobulin from whey by mixed matrix membrane ion exchange chromatography. Biotechnology and Bioengineering. 103(1). 138–147. 38 indexed citations

18.

Fee, Conan J.. (2007). Size comparison between proteins PEGylated with branched and linear poly(ethylene glycol) molecules. Biotechnology and Bioengineering. 98(4). 725–731. 93 indexed citations

19.

Fee, Conan J. & James M. Van Alstine. (2004). Separation of PEGylated Proteins by Size Exclusion Chromatography: Influence of PEGylation on Molecular Size. 2004. 355–355. 2 indexed citations

20.

Fee, Conan J., et al.. (2001). Buoyancy-induced mixing during wash and elution steps in expanded bed adsorption. PubMed. 10(1-3). 21–30. 4 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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