David C Gemperline

1.3k total citations · 1 hit paper
10 papers, 444 citations indexed

About

David C Gemperline is a scholar working on Molecular Biology, Dermatology and Oncology. According to data from OpenAlex, David C Gemperline has authored 10 papers receiving a total of 444 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Dermatology and 2 papers in Oncology. Recurrent topics in David C Gemperline's work include Ubiquitin and proteasome pathways (4 papers), Glycosylation and Glycoproteins Research (3 papers) and Peptidase Inhibition and Analysis (2 papers). David C Gemperline is often cited by papers focused on Ubiquitin and proteasome pathways (4 papers), Glycosylation and Glycoproteins Research (3 papers) and Peptidase Inhibition and Analysis (2 papers). David C Gemperline collaborates with scholars based in United States, Italy and Germany. David C Gemperline's co-authors include Richard S. Marshall, Faqiang Li, Adam J. Book, Cornelia Caragea, Fadi Towfic, Vasant Honavar, Drena Dobbs, Richard D. Vierstra, Antonio Segura‐Carretero and Isabel Borrás‐Linares and has published in prestigious journals such as Journal of Biological Chemistry, Molecular Cell and Journal of Cell Science.

In The Last Decade

David C Gemperline

10 papers receiving 442 citations

Hit Papers

Autophagic Degradation of the 26S Proteasome Is Mediated ... 2015 2026 2018 2022 2015 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David C Gemperline United States 7 268 258 135 121 24 10 444
Nira Amar Israel 6 178 0.7× 181 0.7× 38 0.3× 136 1.1× 94 3.9× 6 356
Alagammai Kaliappan United States 6 223 0.8× 328 1.3× 18 0.1× 105 0.9× 15 0.6× 11 452
Ah Jung Heo South Korea 8 197 0.7× 137 0.5× 14 0.1× 90 0.7× 10 0.4× 10 300
Tobias Bock-Bierbaum Germany 4 180 0.7× 209 0.8× 12 0.1× 87 0.7× 8 0.3× 5 311
R. Militello Argentina 6 110 0.4× 161 0.6× 19 0.1× 176 1.5× 12 0.5× 6 328
David Broadbent United States 8 163 0.6× 100 0.4× 46 0.3× 58 0.5× 7 0.3× 13 285
Yixian Cui China 9 169 0.6× 160 0.6× 24 0.2× 186 1.5× 6 0.3× 17 357
Sixin Jiang United States 3 133 0.5× 151 0.6× 15 0.1× 50 0.4× 10 0.4× 4 334
Jason M. Moran United States 11 163 0.6× 124 0.5× 56 0.4× 52 0.4× 12 0.5× 12 432
Sabine Weys Austria 6 243 0.9× 53 0.2× 23 0.2× 179 1.5× 52 2.2× 6 348

Countries citing papers authored by David C Gemperline

Since Specialization
Citations

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

Fields of papers citing papers by David C Gemperline

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David C Gemperline

This figure shows the co-authorship network connecting the top 25 collaborators of David C Gemperline. A scholar is included among the top collaborators of David C Gemperline 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 David C Gemperline. David C Gemperline 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.
Gruver, Aaron M., Bradley L. Ackermann, Ryan D. Morrison, et al.. (2021). Proteomic characterisations of ulcerative colitis endoscopic biopsies associate with clinically relevant histological measurements of disease severity. Journal of Clinical Pathology. 75(9). 636–642. 5 indexed citations
2.
Gemperline, David C, et al.. (2021). Transcriptomic Analysis of Healthy and Atopic Dermatitis Samples Reveals the Role of IL-37 in Human Skin. ImmunoHorizons. 5(10). 830–843. 10 indexed citations
3.
Marshall, Richard S., David C Gemperline, Fionn McLoughlin, et al.. (2020). An evolutionarily distinct chaperone promotes 20S proteasome α-ring assembly in plants. Journal of Cell Science. 133(21). 2 indexed citations
4.
Gemperline, David C, Richard S. Marshall, Kwanghee Lee, et al.. (2019). Proteomic analysis of affinity-purified 26S proteasomes identifies a suite of assembly chaperones in Arabidopsis. Journal of Biological Chemistry. 294(46). 17570–17592. 16 indexed citations
5.
Fernández‐Ochoa, Álvaro, Rosa Quirantes‐Piné, Isabel Borrás‐Linares, et al.. (2018). Urinary and plasma metabolite differences detected by HPLC-ESI-QTOF-MS in systemic sclerosis patients. Journal of Pharmaceutical and Biomedical Analysis. 162. 82–90. 31 indexed citations
6.
Marshall, Richard S., David C Gemperline, & Richard D. Vierstra. (2016). Purification of 26S Proteasomes and Their Subcomplexes from Plants. Methods in molecular biology. 1511. 301–334. 8 indexed citations
7.
Gemperline, David C, Mark Scalf, Lloyd M. Smith, & Richard D. Vierstra. (2016). Morpheus Spectral Counter: A computational tool for label‐free quantitative mass spectrometry using the Morpheus search engine. PROTEOMICS. 16(6). 920–924. 6 indexed citations
8.
Marshall, Richard S., et al.. (2015). Autophagic Degradation of the 26S Proteasome Is Mediated by the Dual ATG8/Ubiquitin Receptor RPN10 in Arabidopsis. Molecular Cell. 58(6). 1053–1066. 330 indexed citations breakdown →
9.
Towfic, Fadi, Cornelia Caragea, David C Gemperline, Drena Dobbs, & Vasant Honavar. (2010). Struct-NB: predicting protein-RNA binding sites using structural features. International Journal of Data Mining and Bioinformatics. 4(1). 21–21. 33 indexed citations
10.
Towfic, Fadi, David C Gemperline, Cornelia Caragea, et al.. (2007). Structural characterization of RNA-binding sites of proteins: Preliminary results. 14. 60–66. 3 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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