Conner C. Harper

567 total citations
25 papers, 475 citations indexed

About

Conner C. Harper is a scholar working on Spectroscopy, Computational Mechanics and Biomedical Engineering. According to data from OpenAlex, Conner C. Harper has authored 25 papers receiving a total of 475 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Spectroscopy, 13 papers in Computational Mechanics and 5 papers in Biomedical Engineering. Recurrent topics in Conner C. Harper's work include Mass Spectrometry Techniques and Applications (20 papers), Ion-surface interactions and analysis (13 papers) and Analytical Chemistry and Chromatography (8 papers). Conner C. Harper is often cited by papers focused on Mass Spectrometry Techniques and Applications (20 papers), Ion-surface interactions and analysis (13 papers) and Analytical Chemistry and Chromatography (8 papers). Conner C. Harper collaborates with scholars based in United States. Conner C. Harper's co-authors include Evan R. Williams, Matthew B. Francis, Zachary M. Miller, Luke M. Oltrogge, David F. Savage, Daniel Brauer, Amanda J. Bischoff, Zijie Xia, Anna C. Susa and Hyun‐Cheol Lee and has published in prestigious journals such as Journal of the American Chemical Society, ACS Nano and Analytical Chemistry.

In The Last Decade

Conner C. Harper

25 papers receiving 475 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Conner C. Harper United States 13 352 206 121 53 44 25 475
Deven L. Shinholt United States 6 234 0.7× 99 0.5× 104 0.9× 13 0.2× 37 0.8× 7 321
Carolyn M. McQuaw United States 11 123 0.3× 180 0.9× 199 1.6× 46 0.9× 82 1.9× 12 415
Benjamin E. Draper United States 11 137 0.4× 69 0.3× 182 1.5× 13 0.2× 56 1.3× 24 398
Amber D. Rolland United States 14 220 0.6× 54 0.3× 188 1.6× 49 0.9× 23 0.5× 19 390
Verena Horneffer Germany 13 314 0.9× 121 0.6× 142 1.2× 18 0.3× 104 2.4× 13 516
Catherine A. Cassou United States 11 499 1.4× 129 0.6× 235 1.9× 98 1.8× 126 2.9× 11 580
Peter Kovarik Canada 9 299 0.8× 53 0.3× 150 1.2× 51 1.0× 84 1.9× 11 526
A. N. Verentchikov Russia 10 400 1.1× 166 0.8× 102 0.8× 11 0.2× 40 0.9× 14 467
Ming-Lee Chu Taiwan 11 213 0.6× 86 0.4× 58 0.5× 40 0.8× 114 2.6× 23 353
Robert G. McAllister Canada 9 301 0.9× 55 0.3× 174 1.4× 54 1.0× 63 1.4× 10 396

Countries citing papers authored by Conner C. Harper

Since Specialization
Citations

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

Fields of papers citing papers by Conner C. Harper

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Conner C. Harper. 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 Conner C. Harper. The network helps show where Conner C. Harper may publish in the future.

Co-authorship network of co-authors of Conner C. Harper

This figure shows the co-authorship network connecting the top 25 collaborators of Conner C. Harper. A scholar is included among the top collaborators of Conner C. Harper 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 Conner C. Harper. Conner C. Harper 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.
Harper, Conner C., et al.. (2025). High performance charge detection mass spectrometry without ultra-high vacuum. The Analyst. 150(8). 1605–1616. 1 indexed citations
2.
Harper, Conner C., et al.. (2025). Characterizing Monoclonal Antibody Aggregation Using Charge Detection Mass Spectrometry and Industry Standard Methods. Journal of the American Society for Mass Spectrometry. 36(6). 1241–1253. 2 indexed citations
3.
4.
Harper, Conner C., et al.. (2024). Understanding the Formation Dynamics and Physical Properties of Nanocapsules Using Charge Detection Mass Spectrometry. ACS Nano. 19(3). 3414–3423. 1 indexed citations
5.
Harper, Conner C., et al.. (2024). Ion emission from 1–10 MDa salt clusters: individual charge state resolution with charge detection mass spectrometry. The Analyst. 149(3). 735–744. 5 indexed citations
6.
7.
Harper, Conner C., et al.. (2024). Charge Detection Mass Spectrometry Reveals Conformational Heterogeneity in Megadalton-Sized Monoclonal Antibody Aggregates. Journal of the American Chemical Society. 146(33). 23297–23305. 13 indexed citations
8.
Harper, Conner C., et al.. (2023). Dynamic Energy Measurements in Charge Detection Mass Spectrometry Eliminate Adverse Effects of Ion–Ion Interactions. Analytical Chemistry. 95(26). 10077–10086. 8 indexed citations
9.
Miller, Zachary M., et al.. (2023). Lighting Up at High Potential: Effects of Voltage and Emitter Size in Nanoelectrospray Ionization. Journal of the American Society for Mass Spectrometry. 34(6). 1186–1195. 11 indexed citations
10.
Harper, Conner C., Zachary M. Miller, & Evan R. Williams. (2023). Combined Multiharmonic Frequency Analysis for Improved Dynamic Energy Measurements and Accuracy in Charge Detection Mass Spectrometry. Analytical Chemistry. 95(45). 16659–16667. 12 indexed citations
11.
Harper, Conner C., Zachary M. Miller, Hyun‐Cheol Lee, et al.. (2022). Effects of Molecular Size on Resolution in Charge Detection Mass Spectrometry. Analytical Chemistry. 94(33). 11703–11712. 21 indexed citations
12.
Miller, Zachary M., Conner C. Harper, Hyun‐Cheol Lee, et al.. (2022). Apodization Specific Fitting for Improved Resolution, Charge Measurement, and Data Analysis Speed in Charge Detection Mass Spectrometry. Journal of the American Society for Mass Spectrometry. 33(11). 2129–2137. 19 indexed citations
13.
Bischoff, Amanda J., Conner C. Harper, Evan R. Williams, & Matthew B. Francis. (2022). Characterizing Heterogeneous Mixtures of Assembled States of the Tobacco Mosaic Virus Using Charge Detection Mass Spectrometry. Journal of the American Chemical Society. 144(51). 23368–23378. 15 indexed citations
14.
Harper, Conner C., Daniel Brauer, Matthew B. Francis, & Evan R. Williams. (2021). Direct observation of ion emission from charged aqueous nanodrops: effects on gaseous macromolecular charging. Chemical Science. 12(14). 5185–5195. 45 indexed citations
15.
Harper, Conner C. & Evan R. Williams. (2019). Enhanced Multiplexing in Fourier Transform Charge Detection Mass Spectrometry by Decoupling Ion Frequency from Mass to Charge Ratio. Journal of the American Society for Mass Spectrometry. 30(12). 2637–2645. 21 indexed citations
16.
Harper, Conner C., et al.. (2019). Multiplexed Charge Detection Mass Spectrometry for High-Throughput Single Ion Analysis of Large Molecules. Analytical Chemistry. 91(11). 7458–7465. 69 indexed citations
17.
18.
Harper, Conner C., et al.. (2018). Determining Energies and Cross Sections of Individual Ions Using Higher-Order Harmonics in Fourier Transform Charge Detection Mass Spectrometry (FT-CDMS). Journal of the American Society for Mass Spectrometry. 29(9). 1861–1869. 26 indexed citations
19.
Harper, Conner C., et al.. (2017). Simultaneous Measurements of Mass and Collisional Cross-Section of Single Ions with Charge Detection Mass Spectrometry. Analytical Chemistry. 89(14). 7701–7708. 40 indexed citations
20.
Harper, Conner C., et al.. (2017). Mass, mobility and MSn measurements of single ions using charge detection mass spectrometry. The Analyst. 142(15). 2760–2769. 62 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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