Matthew J. Elder
Impact in
- Immunology top 10%
- Immunotherapy and Immune Responses
- Immune Response and Inflammation
- Immune Cell Function and Interaction
- interferon and immune responses
- Immune cells in cancer
Papers in
-
- Immune Cell Function and Interaction 4
- Immunotherapy and Immune Responses 3
- interferon and immune responses 2
- Immune Response and Inflammation 2
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms 1
- Oncology 3
- Cancer Immunotherapy and Biomarkers 3
- Co-authors
- Jane Goodall (5 shared papers)Steve J. Webster (5 shared papers)Hill Gaston (4 shared papers)Ronnie Chee (4 shared papers)David L. Williams (3 shared papers)Robert W. Wilkinson (3 shared papers)Tim J. Fitzmaurice (3 shared papers)Simon Clare (2 shared papers)
- Journals
- Frontiers in Immunology (3 papers)PLoS Pathogens (1 paper)The Journal of Immunology (1 paper)Cancer Immunology Immunotherapy (1 paper)Journal for ImmunoTherapy of Cancer (1 paper)
- Partner nations
- United KingdomUnited StatesSingapore
In The Last Decade
Matthew J. Elder
9 papers receiving 426 citations
Peers
Comparison fields: 5 of 69
- Immunology 260
- Microbiology 26
- Oncology 109
- Immunology and Allergy 19
- Infectious Diseases 48
Countries citing papers authored by Matthew J. Elder
This map shows the geographic impact of Matthew J. Elder'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 Matthew J. Elder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew J. Elder more than expected).
Fields of papers citing papers by Matthew J. Elder
This network shows the impact of papers produced by Matthew J. Elder. 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 Matthew J. Elder. The network helps show where Matthew J. Elder may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew J. Elder, 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 | 2019 | 137 | |
| 2 | 2017 | 79 | |
| 3 | 2017 | 67 | |
| 4 | 2020 | 42 | |
| 5 | 2015 | 40 | |
| 6 | 2016 | 31 | |
| 7 | 2012 | 24 | |
| 8 | 2019 | 10 | |
| 9 | 2018 | 1 | |
| 10 | 2023 | 0 |
About Matthew J. Elder
Matthew J. Elder is a scholar working on Immunology, Oncology, Molecular Biology, Dermatology and Ecology, Evolution, Behavior and Systematics, having authored 10 papers that have together received 431 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (4 papers), Immunotherapy and Immune Responses (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), interferon and immune responses (2 papers), Immune Response and Inflammation (2 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper), Allergic Rhinitis and Sensitization (1 paper) and Herbal Medicine Research Studies (1 paper). The work is most often cited by research in Immunology (260 citations), Microbiology (26 citations), Oncology (109 citations), Immunology and Allergy (19 citations) and Infectious Diseases (48 citations). Matthew J. Elder has collaborated with scholars based in United Kingdom, United States and Singapore. Frequent co-authors include Jane Goodall, Steve J. Webster, Hill Gaston, Ronnie Chee, David L. Williams, Robert W. Wilkinson, Tim J. Fitzmaurice, Simon Clare, Lou Ellis and John G. Swales. Their work appears in journals such as Frontiers in Immunology, PLoS Pathogens, The Journal of Immunology, Cancer Immunology Immunotherapy and Journal for ImmunoTherapy of Cancer.
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.