Emma Timms
- Immunology top 0.5%
- T-cell and B-cell Immunology 18
- Immune Cell Function and Interaction 15
- Immunotherapy and Immune Responses 9
- Immunodeficiency and Autoimmune Disorders 2
- Oncology top 1%
- Cytokine Signaling Pathways and Interactions 3
- Cancer Research top 2%
- Molecular Biology top 2%
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- Monoclonal and Polyclonal Antibodies Research 3
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- Circadian rhythm and melatonin 2
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- Inflammatory mediators and NSAID effects 2
- Co-authors
- Andrew WakehamJosef PenningerTak W. MakChristopher J. PaigeHiroki YoshidaAntonio Oliveira-dos-SantosWilson KhooWilliam J. Boyle
- Journals
- European Journal of Immunology (6 papers)The Journal of Immunology (5 papers)The Journal of Experimental Medicine (3 papers)
- Partner nations
- CanadaUnited KingdomUnited States
In The Last Decade
Emma Timms
31 papers receiving 6.0k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Immunology 2.9k
- Oncology 2.3k
- Orthopedics and Sports Medicine 507
- Cancer Research 825
- Molecular Biology 3.0k
Countries citing papers authored by Emma Timms
This map shows the geographic impact of Emma Timms'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 Emma Timms with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emma Timms more than expected).
Fields of papers citing papers by Emma Timms
This network shows the impact of papers produced by Emma Timms. 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 Emma Timms. The network helps show where Emma Timms may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Emma Timms, 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 | 2023 | 4 | |
| 2 | 2020 | 258 | |
| 3 | 2010 | 34 | |
| 4 | 2010 | 61 | |
| 5 | 2003 | 7 | |
| 6 | OPGL is a key regulator of osteoclastogenesis, lymphocyte development and lymph-node organogenesisbreakdown → | 1999 | 2748 |
| 7 | 1998 | 17 | |
| 8 | 1997 | 33 | |
| 9 | 1996 | 266 | |
| 10 | 1995 | 45 | |
| 11 | 1994 | 6 | |
| 12 | 1993 | 51 | |
| 13 | 1993 | 433 | |
| 14 | 1993 | 62 | |
| 15 | 1992 | 36 | |
| 16 | 1992 | 41 | |
| 17 | Profound block in thymocyte development in mice lacking p56lckbreakdown → | 1992 | 867 |
| 18 | 1992 | 15 | |
| 19 | 1991 | 8 | |
| 20 | 1987 | 7 |
About Emma Timms
Emma Timms is a scholar working on Immunology, Endocrine and Autonomic Systems and Oncology, having authored 31 papers that have together received 6.1k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (18 papers), Immune Cell Function and Interaction (15 papers), Immunotherapy and Immune Responses (9 papers), Cytokine Signaling Pathways and Interactions (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Immunodeficiency and Autoimmune Disorders (2 papers), Circadian rhythm and melatonin (2 papers) and Inflammatory mediators and NSAID effects (2 papers). The work is most often cited by research in Immunology (2.9k citations), Oncology (2.3k citations) and Orthopedics and Sports Medicine (507 citations). Emma Timms has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include Andrew Wakeham, Josef Penninger, Tak W. Mak, Christopher J. Paige, Hiroki Yoshida, Antonio Oliveira-dos-Santos, Wilson Khoo, William J. Boyle, Annick Itié and Hong‐Lin Tan. Their work appears in journals such as European Journal of Immunology, The Journal of Immunology, The Journal of Experimental Medicine, Nature and Cell.
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.