Jemma Wu
Impact in
- Spectroscopy top 10%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
Papers in
-
- Metabolomics and Mass Spectrometry Studies 6
- Bioinformatics and Genomic Networks 4
- Gene expression and cancer classification 3
- Spectroscopy 11
- Advanced Proteomics Techniques and Applications 11
- Mass Spectrometry Techniques and Applications 6
- Co-authors
- Dana Pascovici (14 shared papers)Paul A. Haynes (5 shared papers)Mark P. Molloy (7 shared papers)Thiri Zaw (5 shared papers)Mehdi Mirzaei (6 shared papers)Yunqi Wu (5 shared papers)Karthik Shantharam Kamath (5 shared papers)Christoph Krisp (2 shared papers)
- Journals
- International Journal of Molecular Sciences (3 papers)PROTEOMICS (3 papers)IEEE Transactions on Services Computing (2 papers)Journal of Proteome Research (2 papers)Nature Communications (1 paper)
- Partner nations
- AustraliaUnited StatesIran
In The Last Decade
Jemma Wu
26 papers receiving 636 citations
Peers
Comparison fields: 5 of 118
- Spectroscopy 128
- Biological Psychiatry 16
- Molecular Biology 270
- Cancer Research 39
- Information Systems 61
Countries citing papers authored by Jemma Wu
This map shows the geographic impact of Jemma Wu'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 Jemma Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jemma Wu more than expected).
Fields of papers citing papers by Jemma Wu
This network shows the impact of papers produced by Jemma Wu. 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 Jemma Wu. The network helps show where Jemma Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jemma Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 155 | |
| 2 | 2016 | 86 | |
| 3 | 2018 | 66 | |
| 4 | 2019 | 60 | |
| 5 | 2019 | 47 | |
| 6 | 2016 | 29 | |
| 7 | 2019 | 27 | |
| 8 | 2011 | 27 | |
| 9 | 2010 | 24 | |
| 10 | 2011 | 16 | |
| 11 | 2022 | 14 | |
| 12 | 2021 | 11 | |
| 13 | 2020 | 11 | |
| 14 | 2018 | 10 | |
| 15 | 2022 | 10 | |
| 16 | Semantic Sensor Composition | 2011 | 7 |
| 17 | 2016 | 6 | |
| 18 | 2017 | 6 | |
| 19 | 2020 | 6 | |
| 20 | Semantic solutions for integration of federated ocean observations | 2009 | 5 |
About Jemma Wu
Jemma Wu is a scholar working on Molecular Biology, Spectroscopy, Artificial Intelligence, Information Systems and Management Information Systems, having authored 26 papers that have together received 640 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (11 papers), Metabolomics and Mass Spectrometry Studies (6 papers), Mass Spectrometry Techniques and Applications (6 papers), Service-Oriented Architecture and Web Services (5 papers), Bioinformatics and Genomic Networks (4 papers), Gene expression and cancer classification (3 papers), Business Process Modeling and Analysis (3 papers) and Semantic Web and Ontologies (3 papers). The work is most often cited by research in Spectroscopy (128 citations), Biological Psychiatry (16 citations), Molecular Biology (270 citations), Cancer Research (39 citations) and Information Systems (61 citations). Jemma Wu has collaborated with scholars based in Australia, United States and Iran. Frequent co-authors include Dana Pascovici, Paul A. Haynes, Mark P. Molloy, Thiri Zaw, Mehdi Mirzaei, Yunqi Wu, Karthik Shantharam Kamath, Christoph Krisp, Xiaomin Song and Vivek Gupta. Their work appears in journals such as International Journal of Molecular Sciences, PROTEOMICS, IEEE Transactions on Services Computing, Journal of Proteome Research and Nature Communications.
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.