Jennifer A. Cham
Impact in
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- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
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- Scientific Computing and Data Management
Papers in
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- Biomedical Text Mining and Ontologies 2
- Bioinformatics and Genomic Networks 2
- Genetics, Bioinformatics, and Biomedical Research 2
- Genomics and Phylogenetic Studies 1
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- Advanced Proteomics Techniques and Applications 2
- Mass Spectrometry Techniques and Applications 2
- Analytical Chemistry and Chromatography 1
- Co-authors
- Luca Bianco (2 shared papers)Conrad Bessant (2 shared papers)Christoph Steinbeck (2 shared papers)Paula de Matos (2 shared papers)Graham Cameron (1 shared paper)Cath Brooksbank (1 shared paper)Chris Barton (1 shared paper)Rodrigo López (2 shared papers)
- Journals
- Nucleic Acids Research (2 papers)Drug Discovery Today (1 paper)Journal of Proteome Research (1 paper)PLoS Computational Biology (1 paper)PROTEOMICS (1 paper)
- Partner nations
- United KingdomUnited States
In The Last Decade
Jennifer A. Cham
6 papers receiving 154 citations
Peers
Comparison fields: 5 of 56
- Spectroscopy 66
- Information Systems and Management 15
- Molecular Biology 100
- Human-Computer Interaction 4
- Health Information Management 2
Countries citing papers authored by Jennifer A. Cham
This map shows the geographic impact of Jennifer A. Cham'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 Jennifer A. Cham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer A. Cham more than expected).
Fields of papers citing papers by Jennifer A. Cham
This network shows the impact of papers produced by Jennifer A. Cham. 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 Jennifer A. Cham. The network helps show where Jennifer A. Cham may publish in the future.
Co-authors
The 25 scholars most cited alongside Jennifer A. Cham, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 52 | |
| 2 | 2012 | 37 | |
| 3 | 2015 | 27 | |
| 4 | 2009 | 17 | |
| 5 | 2012 | 13 | |
| 6 | 2018 | 9 |
About Jennifer A. Cham
Jennifer A. Cham is a scholar working on Molecular Biology, Spectroscopy, Information Systems and Management, Computer Science Applications and Biomedical Engineering, having authored 6 papers that have together received 155 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (2 papers), Biomedical Text Mining and Ontologies (2 papers), Bioinformatics and Genomic Networks (2 papers), Mass Spectrometry Techniques and Applications (2 papers), Genetics, Bioinformatics, and Biomedical Research (2 papers), Genomics and Phylogenetic Studies (1 paper), Analytical Chemistry and Chromatography (1 paper) and Scientific Computing and Data Management (1 paper). The work is most often cited by research in Spectroscopy (66 citations), Information Systems and Management (15 citations), Molecular Biology (100 citations), Human-Computer Interaction (4 citations) and Health Information Management (2 citations). Jennifer A. Cham has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include Luca Bianco, Conrad Bessant, Christoph Steinbeck, Paula de Matos, Graham Cameron, Cath Brooksbank, Chris Barton, Rodrigo López, Tamer Gür and Silvano Squizzato. Their work appears in journals such as Nucleic Acids Research, Drug Discovery Today, Journal of Proteome Research, PLoS Computational Biology and PROTEOMICS.
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.