David Campbell

9.8k total citations · 1 hit paper
150 papers, 5.6k citations indexed

About

David Campbell is a scholar working on Electrical and Electronic Engineering, Molecular Biology and Spectroscopy. According to data from OpenAlex, David Campbell has authored 150 papers receiving a total of 5.6k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Electrical and Electronic Engineering, 31 papers in Molecular Biology and 22 papers in Spectroscopy. Recurrent topics in David Campbell's work include Advanced Proteomics Techniques and Applications (22 papers), Semiconductor materials and devices (22 papers) and Copper Interconnects and Reliability (15 papers). David Campbell is often cited by papers focused on Advanced Proteomics Techniques and Applications (22 papers), Semiconductor materials and devices (22 papers) and Copper Interconnects and Reliability (15 papers). David Campbell collaborates with scholars based in United Kingdom, United States and Switzerland. David Campbell's co-authors include Eric W. Deutsch, Robert L. Moritz, Zhi Sun, Ruedi Aebersold, B. Lewis, Ulrike Kusebauch, V. M. Dwyer, Terry Farrah, Peter Harrop and Gilbert S. Omenn and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

David Campbell

148 papers receiving 5.3k 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.

The ProteomeXchange consortium in 2017: supporting the cultural change in proteomics public data deposition

2016 654 citations Eric W. Deutsch, Zhi Sun et al. profile →

Peers

Countries citing papers authored by David Campbell

Since Specialization

Citations

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

Fields of papers citing papers by David Campbell

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Campbell

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	A comprehensive spectral assay library to quantify the Halobacterium salinarum NRC-1 proteome by DIA/SWATH-MS 2023 ·Scientific Data ·Ulrike Kusebauch, (unknown), David Campbell, Min Pan, David Shteynberg, (unknown), Mukul K. Midha, Adrián López García de Lomana, Nitin S. Baliga, Robert L. Moritz	0
2	76P Using bioinformatics and artificial intelligence (AI) to map the cyclin-dependent kinase 4/6 inhibitor (CDK4/6i) translational biomarker landscape 2023 ·ESMO Open ·(unknown), Yu Wang, (unknown), David Campbell, (unknown), Fei‐Fei Liu, (unknown), (unknown), (unknown)	1
3	Paraneoplastic Pemphigus: Diagnostic Mimics, Confounders and Management Challenges in a Series of Five Long-Term Survivors from a Single Centre 2022 ·SHILAP Revista de lepidopterología ·(unknown), Mark Schifter, (unknown), (unknown), Mark Taylor, Michelle Kang, (unknown), (unknown), (unknown), David Campbell, Ming‐Wei Lin	3
4	A comprehensive spectral assay library to quantify the Escherichia coli proteome by DIA/SWATH-MS 2020 ·Scientific Data ·Mukul K. Midha, Ulrike Kusebauch, David Shteynberg, (unknown), Samuel L. Bader, Panga Jaipal Reddy, David Campbell, Nitin S. Baliga, Robert L. Moritz	29
5	DIALib-QC an assessment tool for spectral libraries in data-independent acquisition proteomics 2020 ·Nature Communications ·Mukul K. Midha, David Campbell, (unknown), Ulrike Kusebauch, Michael R. Hoopmann, Samuel L. Bader, Robert L. Moritz	30
6	Validation of phospholipase A2 receptor direct immunofluorescence staining in the diagnosis of primary membranous glomerulonephritis 2020 ·Pathology ·(unknown), David Campbell, (unknown), David A. Brown, Karen Byth, Pravin Hissaria, (unknown), Brian J. Nankivell, Ming‐Wei Lin	3
7	Reliability of Scopus author identifiers (AUIDs) for research evaluation purposes at different scales. 2019 ·ISSI ·David Campbell, (unknown)	2
8	Using a peanut ball during labour versus not using a peanut ball during labour for women using an epidural: study protocol for a randomised controlled pilot study 2018 ·Pilot and Feasibility Studies ·Virginia Stulz, David Campbell, (unknown), (unknown), (unknown), (unknown), Kenny Lawson	4
9	A tissue-based draft map of the murine MHC class I immunopeptidome 2018 ·Scientific Data ·Heiko Schuster, Wenguang Shao, Tobias Weiß, Patrick G. A. Pedrioli, Patrick Roth, Michael Weller, David Campbell, Eric W. Deutsch, Robert L. Moritz, Oliver Planz, Hans‐Georg Rammensee, Ruedi Aebersold, Étienne Caron	42
10	Leukaemia and myeloid malignancy among people exposed to low doses (<100 mSv) of ionising radiation during childhood: a pooled analysis of nine historical cohort studies 2018 ·The Lancet Haematology ·Mark P. Little, Richard Wakeford, David Borrego, Benjamin French, Lydia B. Zablotska, M. Jacob Adams, Rodrigue S. Allodji, Florent de Vathaire, Choonsik Lee, Alina V. Brenner, Jeremy S. Miller, David Campbell, Mark S. Pearce, Michele M. Doody, Erik Holmberg, Marie Lundell, Siegal Sadetzki, Martha S. Linet, Amy Berrington de González	106
11	Quantitative Proteomic Analysis Reveals Effects of Epidermal Growth Factor Receptor (EGFR) on Invasion-promoting Proteins Secreted by Glioblastoma Cells 2014 ·Molecular & Cellular Proteomics ·Vineet Sangar, Cory C. Funk, Ulrike Kusebauch, David Campbell, Robert L. Moritz, Nathan D. Price	30
12	N-Glycoprotein SRMAtlas 2013 ·Molecular & Cellular Proteomics ·Ruth Hüttenhain, Silvia Šurinová, Reto Ossola, Zhi Sun, David Campbell, Ferdinando Cerciello, Ralph Schiess, Damaris Bausch‐Fluck, George Rosenberger, (unknown), Oliver Rinner, Ulrike Kusebauch, Marián Hajdúch, Robert L. Moritz, Bernd Wollscheid, Ruedi Aebersold	39
13	A complete mass-spectrometric map of the yeast proteome applied to quantitative trait analysis 2013 ·Nature ·Paola Picotti, Mathieu Clément‐Ziza, Henry Lam, David Campbell, Alexander Schmidt, Eric W. Deutsch, Hannes Röst, Zhi Sun, Oliver Rinner, Lukas Reiter, Qin Shen, Jacob J. Michaelson, Andreas P. Frei, Simon Alberti, Ulrike Kusebauch, Bernd Wollscheid, Robert L. Moritz, Andreas Beyer, Ruedi Aebersold	216
14	A High-Confidence Human Plasma Proteome Reference Set with Estimated Concentrations in PeptideAtlas 2011 ·Molecular & Cellular Proteomics ·Terry Farrah, Eric W. Deutsch, Gilbert S. Omenn, David Campbell, Zhi Sun, Julie Bletz, Parag Mallick, Jonathan E. Katz, Johan Malmström, Reto Ossola, Julian D. Watts, Biaoyang Lin, Hui Zhang, Robert L. Moritz, Ruedi Aebersold	383
15	Correlation of mRNA and protein levels: Cell type-specific gene expression of cluster designation antigens in the prostate 2008 ·BMC Genomics ·Laura E. Pascal, Lawrence D. True, David Campbell, Eric W. Deutsch, Michael Risk, Ilsa M. Coleman, Lillian J. Eichner, Peter S. Nelson, Alvin Y. Liu	209
16	Systematic investigation of lycopene effects in LNCaP cells by use of novel large‐scale proteomic analysis software 2007 ·PROTEOMICS - CLINICAL APPLICATIONS ·Young Ah Goo, (unknown), Natasa Pajkovic, Scott A. Shaffer, Greg Taylor, Jinzhi Chen, David Campbell, (unknown), David R. Goodlett, Richard B. van Breemen	28
17	History of diabetes mellitus and subsequent prostate cancer risk in the NIH-AARP Diet and Health Study 2007 ·Cancer Causes & Control ·Brook Calton, (unknown), Margaret E. Wright, Victor Kipnis, Karla A. Lawson, Frances E. Thompson, Amy F. Subar, Traci Mouw, David Campbell, Paul E. Hurwitz, Albert R. Hollenbeck, Arthur Schatzkin, Michael F. Leitzmann	66
18	UniPep - a database for human N-linked glycosites: a resource for biomarker discovery 2006 ·Genome biology ·Hui Zhang, Paul Loriaux, Jimmy K. Eng, David Campbell, Andrew Keller, (unknown), Richard Bonneau, Ning Zhang, Yong Zhou, Bernd Wollscheid, Kelly Cooke, Eugene C. Yi, Hookeun Lee, Elaine R. Peskind, Jing Zhang, Richard Smith, Ruedi Aebersold	89
19	Automated, Patient-interactive, Spinal Cord Stimulator Adjustment: A Randomized Controlled Trial 2003 ·Neurosurgery ·Richard B. North, (unknown), David Campbell, Jeffrey M. Sieracki, Steven Piantadosi, Michael J. Daly, (unknown), Giancarlo Barolat	26
20	Surface-to borehole fault imaging in a buried horizontal waveguide; an experimental study in the southern North Sea 1992 ·Geophysics ·I. M. Mason, (unknown), (unknown), David Campbell	7

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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