Brian M. Wagner

401 total citations
8 papers, 333 citations indexed

About

Brian M. Wagner is a scholar working on Spectroscopy, Biomedical Engineering and Molecular Biology. According to data from OpenAlex, Brian M. Wagner has authored 8 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Spectroscopy, 7 papers in Biomedical Engineering and 4 papers in Molecular Biology. Recurrent topics in Brian M. Wagner's work include Analytical Chemistry and Chromatography (7 papers), Microfluidic and Capillary Electrophoresis Applications (7 papers) and Protein purification and stability (4 papers). Brian M. Wagner is often cited by papers focused on Analytical Chemistry and Chromatography (7 papers), Microfluidic and Capillary Electrophoresis Applications (7 papers) and Protein purification and stability (4 papers). Brian M. Wagner collaborates with scholars based in United States. Brian M. Wagner's co-authors include Stephanie A. Schuster, Barry E. Boyes, Joseph J. Kirkland, J. J. Kirkland, Mark R. Schure, Mark A. Olsen, Burnaby Munson, Gordon R. Nicol, Robert S. Maier and Justin M. Godinho and has published in prestigious journals such as Analytical Chemistry, Journal of Chromatography A and Chemical Engineering Science.

In The Last Decade

Brian M. Wagner

8 papers receiving 323 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Brian M. Wagner United States	7	261	184	152	50	42	8	333
Dennis Åsberg Sweden	13	283 1.1×	181 1.0×	149 1.0×	164 3.3×	28 0.7×	19	356
Gerald Terfloth United States	10	322 1.2×	186 1.0×	160 1.1×	144 2.9×	37 0.9×	13	420
Katri Huikko Finland	10	192 0.7×	247 1.3×	67 0.4×	59 1.2×	22 0.5×	11	444
С.М. Староверов Russia	13	329 1.3×	215 1.2×	98 0.6×	76 1.5×	106 2.5×	31	407
Charles M. Grill United States	9	244 0.9×	158 0.9×	221 1.5×	112 2.2×	92 2.2×	11	381
Qinglin Tang United States	11	375 1.4×	331 1.8×	59 0.4×	98 2.0×	39 0.9×	17	464
Iro K. Ventouri Netherlands	6	124 0.5×	155 0.8×	117 0.8×	23 0.5×	24 0.6×	6	339
Egidijus Machtejevas Germany	13	312 1.2×	237 1.3×	108 0.7×	69 1.4×	26 0.6×	17	394
Roger‐Marc Nicoud Switzerland	11	347 1.3×	256 1.4×	482 3.2×	85 1.7×	65 1.5×	14	584
A. Kamel Harrata United States	12	480 1.8×	370 2.0×	143 0.9×	52 1.0×	14 0.3×	15	631

Countries citing papers authored by Brian M. Wagner

Since Specialization

Citations

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

Fields of papers citing papers by Brian M. Wagner

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brian M. Wagner

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

All Works

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8 of 8 papers shown

Godinho, Justin M., et al.. (2019). Measuring porosities of chromatographic columns utilizing a mass-based total pore-blocking method: Superficially porous particles and pore-blocking critical pressure mechanism. Journal of Chromatography A. 1595. 117–126. 5 indexed citations

Wagner, Brian M., et al.. (2017). Superficially porous particles with 1000Å pores for large biomolecule high performance liquid chromatography and polymer size exclusion chromatography. Journal of Chromatography A. 1489. 75–85. 60 indexed citations

Schure, Mark R., et al.. (2017). Intraparticle and interstitial flow in wide-pore superficially porous and fully porous particles. Chemical Engineering Science. 174. 445–458. 11 indexed citations

Schuster, Stephanie A., Brian M. Wagner, Barry E. Boyes, & Joseph J. Kirkland. (2013). Optimized superficially porous particles for protein separations. Journal of Chromatography A. 1315. 118–126. 48 indexed citations

Wagner, Brian M., Stephanie A. Schuster, Barry E. Boyes, & Joseph J. Kirkland. (2012). Superficially porous silica particles with wide pores for biomacromolecular separations. Journal of Chromatography A. 1264. 22–30. 43 indexed citations

Schuster, Stephanie A., Barry E. Boyes, Brian M. Wagner, & Joseph J. Kirkland. (2011). Fast high performance liquid chromatography separations for proteomic applications using Fused-Core? silica particles. Journal of Chromatography A. 1228. 232–241. 63 indexed citations

Schuster, Stephanie A., Brian M. Wagner, Barry E. Boyes, & J. J. Kirkland. (2010). Wider Pore Superficially Porous Particles for Peptide Separations by HPLC. Journal of Chromatographic Science. 48(7). 566–571. 61 indexed citations

Olsen, Mark A., et al.. (2000). The Use of Deuterium Oxide as a Mobile Phase for Structural Elucidation by HPLC/UV/ESI/MS. Analytical Chemistry. 72(20). 5070–5078. 42 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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