Gemma Mudd
Impact in
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- Monoclonal and Polyclonal Antibodies Research
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- Peptidase Inhibition and Analysis
- HER2/EGFR in Cancer Research
Papers in ⓘ
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- Monoclonal and Polyclonal Antibodies Research 12
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- Toxin Mechanisms and Immunotoxins 4
- Co-authors
- Liuhong Chen (12 shared papers)Katerine Van Rietschoten (9 shared papers)Amy Brown (11 shared papers)Gavin Bennett (13 shared papers)Silvia Pavan (4 shared papers)Philip Huxley (8 shared papers)Nicholas Keen (14 shared papers)Johanna Lahdenranta (11 shared papers)
- Journals
- Cancer Research (8 papers)Molecular Cancer Therapeutics (4 papers)Journal of Medicinal Chemistry (3 papers)Analytical Chemistry (1 paper)Methods and Applications in Fluorescence (1 paper)
- Partner nations
- United KingdomGermanySwitzerland
In The Last Decade
Gemma Mudd
18 papers receiving 384 citations
Peers
Comparison fields: 5 of 53
- Radiology, Nuclear Medicine and Imaging 136
- Oncology 155
- Molecular Biology 236
- Immunology and Allergy 17
- Organic Chemistry 72
Countries citing papers authored by Gemma Mudd
This map shows the geographic impact of Gemma Mudd'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 Gemma Mudd with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gemma Mudd more than expected).
Fields of papers citing papers by Gemma Mudd
This network shows the impact of papers produced by Gemma Mudd. 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 Gemma Mudd. The network helps show where Gemma Mudd may publish in the future.
Co-authors
The 25 scholars most cited alongside Gemma Mudd, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 77 | |
| 2 | 2022 | 58 | |
| 3 | 2020 | 55 | |
| 4 | 2019 | 49 | |
| 5 | 2022 | 41 | |
| 6 | 2017 | 26 | |
| 7 | 2015 | 22 | |
| 8 | 2014 | 14 | |
| 9 | 2022 | 11 | |
| 10 | 2022 | 10 | |
| 11 | 2024 | 9 | |
| 12 | 2019 | 8 | |
| 13 | 2012 | 7 | |
| 14 | 2019 | 6 | |
| 15 | 2018 | 2 | |
| 16 | 2025 | 1 | |
| 17 | 2019 | 1 | |
| 18 | 2018 | 1 | |
| 19 | 2019 | 1 | |
| 20 | 2020 | 1 |
About Gemma Mudd
Gemma Mudd is a scholar working on Radiology, Nuclear Medicine and Imaging, Immunology, Cellular and Molecular Neuroscience, Oncology and Molecular Biology, having authored 24 papers that have together received 401 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (12 papers), Chemical Synthesis and Analysis (6 papers), Click Chemistry and Applications (6 papers), Axon Guidance and Neuronal Signaling (6 papers), Peptidase Inhibition and Analysis (5 papers), Toxin Mechanisms and Immunotoxins (4 papers), Glycosylation and Glycoproteins Research (4 papers) and Signaling Pathways in Disease (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (136 citations), Oncology (155 citations), Molecular Biology (236 citations), Immunology and Allergy (17 citations) and Organic Chemistry (72 citations). Gemma Mudd has collaborated with scholars based in United Kingdom, Germany and Switzerland. Frequent co-authors include Liuhong Chen, Katerine Van Rietschoten, Amy Brown, Gavin Bennett, Silvia Pavan, Philip Huxley, Nicholas Keen, Johanna Lahdenranta, Manfred Auer and Paul Beswick. Their work appears in journals such as Cancer Research, Molecular Cancer Therapeutics, Journal of Medicinal Chemistry, Analytical Chemistry and Methods and Applications in Fluorescence.
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.