Duncan R. Purvis

447 total citations
10 papers, 353 citations indexed

About

Duncan R. Purvis is a scholar working on Molecular Biology, Biomedical Engineering and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Duncan R. Purvis has authored 10 papers receiving a total of 353 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Biomedical Engineering and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Duncan R. Purvis's work include Protein purification and stability (6 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Microfluidic and Capillary Electrophoresis Applications (3 papers). Duncan R. Purvis is often cited by papers focused on Protein purification and stability (6 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Microfluidic and Capillary Electrophoresis Applications (3 papers). Duncan R. Purvis collaborates with scholars based in United Kingdom, Austria and Germany. Duncan R. Purvis's co-authors include Christopher R. Lowe, Nathan Nelson, Parag R. Chitnis, Ali Tuncel, Erhan Pişkın, Adi̇l Deni̇zli̇, Vladimir K. Cherkasov, David J. Stewart, Graham E. McCreath and Howard A. Chase and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Chromatography A and Biosensors and Bioelectronics.

In The Last Decade

Duncan R. Purvis

10 papers receiving 338 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Duncan R. Purvis United Kingdom 9 286 83 58 41 40 10 353
J. Bonnerjea United Kingdom 11 349 1.2× 68 0.8× 81 1.4× 39 1.0× 36 0.9× 14 421
Anna V. Hine United Kingdom 14 462 1.6× 106 1.3× 78 1.3× 19 0.5× 10 0.3× 36 714
Donald D. Montgomery United States 9 155 0.5× 122 1.5× 16 0.3× 22 0.5× 14 0.3× 10 349
M. Beier Germany 6 467 1.6× 96 1.2× 18 0.3× 9 0.2× 7 0.2× 9 574
Hong‐Ming Yang China 12 251 0.9× 85 1.0× 98 1.7× 29 0.7× 12 0.3× 29 354
Felix Sigmund Germany 7 103 0.4× 160 1.9× 44 0.8× 20 0.5× 7 0.2× 7 312
Huawen Wu China 7 183 0.6× 98 1.2× 6 0.1× 35 0.9× 91 2.3× 15 455
Grace Lee Picciolo United States 8 215 0.8× 106 1.3× 23 0.4× 13 0.3× 5 0.1× 28 395
Simon Jurt Switzerland 11 184 0.6× 39 0.5× 30 0.5× 39 1.0× 8 0.2× 28 367
Benlian Wang United States 13 234 0.8× 29 0.3× 20 0.3× 76 1.9× 7 0.2× 16 391

Countries citing papers authored by Duncan R. Purvis

Since Specialization
Citations

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

Fields of papers citing papers by Duncan R. Purvis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Duncan R. Purvis. 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 Duncan R. Purvis. The network helps show where Duncan R. Purvis may publish in the future.

Co-authorship network of co-authors of Duncan R. Purvis

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

All Works

10 of 10 papers shown
1.
Kühn, Philipp, et al.. (2017). Human Anti-Lipopolysaccharid (LPS) antibodies against Legionella with high species specificity. Human Antibodies. 26(1). 29–38. 10 indexed citations
2.
3.
Purvis, Duncan R., et al.. (2003). An ultrasensitive and stable potentiometric immunosensor. Biosensors and Bioelectronics. 18(11). 1385–1390. 62 indexed citations
4.
Tuncel, Ali, Adi̇l Deni̇zli̇, Duncan R. Purvis, Christopher R. Lowe, & Erhan Pişkın. (1993). Cibacron Blue F3G-A-attached monosize poly(vinyl alcohol)-coated polystyrene microspheres for specific albumin adsorption. Journal of Chromatography A. 634(2). 161–168. 83 indexed citations
5.
McCreath, Graham E., Howard A. Chase, Duncan R. Purvis, & Christopher R. Lowe. (1993). Novel affinity separations based on perfluorocarbon emulsions. Journal of Chromatography A. 629(2). 201–213. 18 indexed citations
6.
McCreath, Graham E., Howard A. Chase, Duncan R. Purvis, & Christopher R. Lowe. (1992). Novel affinity separations based on perfluorocarbon emulsions. Journal of Chromatography A. 597(1-2). 189–196. 20 indexed citations
7.
8.
Chitnis, Parag R., Duncan R. Purvis, & Nathan Nelson. (1991). Molecular cloning and targeted mutagenesis of the gene psaF encoding subunit III of photosystem I from the cyanobacterium Synechocystis sp. PCC 6803.. Journal of Biological Chemistry. 266(30). 20146–20151. 99 indexed citations
9.
Lowe, Christopher R., et al.. (1990). New developments in affinity chromatography. Journal of Molecular Recognition. 3(3). 117–122. 20 indexed citations
10.
Stewart, David J., Duncan R. Purvis, & Christopher R. Lowe. (1990). Affinity chromatography on novel perfluorocarbon supports. Journal of Chromatography A. 510. 177–187. 24 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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