Jane Falconer
Impact in
- Hepatology top 5%
- Hepatitis C virus research
- Infectious Diseases top 10%
- HIV/AIDS Research and Interventions
Papers in
-
- HIV/AIDS Research and Interventions 6
- Co-authors
- Christopher D. Buckley (5 shared papers)Stephen P. Young (2 shared papers)Andrew R. Clark (2 shared papers)Stefano Tiziani (1 shared paper)Mónica Gumá (1 shared paper)Anne N. Murphy (1 shared paper)Joseph D. Tucker (6 shared papers)Wen Chen (2 shared papers)
- Journals
- BMC Infectious Diseases (6 papers)Annals of the Rheumatic Diseases (3 papers)Frontiers in Immunology (2 papers)Systematic Reviews (2 papers)Immunology (2 papers)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Jane Falconer
48 papers receiving 967 citations
Jane Falconer's Hit Papers
Peers
Comparison fields: 5 of 111
- Hepatology 147
- Infectious Diseases 160
- Microbiology 49
- Epidemiology 220
- Rheumatology 89
Countries citing papers authored by Jane Falconer
This map shows the geographic impact of Jane Falconer'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 Jane Falconer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jane Falconer more than expected).
Fields of papers citing papers by Jane Falconer
This network shows the impact of papers produced by Jane Falconer. 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 Jane Falconer. The network helps show where Jane Falconer may publish in the future.
Co-authors
The 25 scholars most cited alongside Jane Falconer, 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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Review: Synovial Cell Metabolism and Chronic Inflammation in Rheumatoid Arthritis Hit paper breakdown → | 2018 | 245 |
| 2 | 2019 | 104 | |
| 3 | 2017 | 95 | |
| 4 | 2017 | 93 | |
| 5 | 2014 | 45 | |
| 6 | 2019 | 36 | |
| 7 | 2021 | 32 | |
| 8 | 2021 | 29 | |
| 9 | 2010 | 28 | |
| 10 | 2004 | 26 | |
| 11 | 2006 | 25 | |
| 12 | 2021 | 21 | |
| 13 | 2021 | 19 | |
| 14 | 2015 | 18 | |
| 15 | 2024 | 18 | |
| 16 | 2021 | 14 | |
| 17 | 2023 | 14 | |
| 18 | 2022 | 11 | |
| 19 | 2020 | 11 | |
| 20 | 2023 | 9 |
About Jane Falconer
Jane Falconer is a scholar working on Infectious Diseases, General Health Professions, Epidemiology, Immunology and Health, Toxicology and Mutagenesis, having authored 55 papers that have together received 986 indexed citations. Recurring topics across this work include Climate Change and Health Impacts (6 papers), HIV/AIDS Research and Interventions (6 papers), Immunotherapy and Immune Responses (4 papers), Rheumatoid Arthritis Research and Therapies (4 papers), Reproductive tract infections research (4 papers), Hepatitis C virus research (3 papers), Syphilis Diagnosis and Treatment (3 papers) and T-cell and B-cell Immunology (3 papers). The work is most often cited by research in Hepatology (147 citations), Infectious Diseases (160 citations), Microbiology (49 citations), Epidemiology (220 citations) and Rheumatology (89 citations). Jane Falconer has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Christopher D. Buckley, Stephen P. Young, Andrew R. Clark, Stefano Tiziani, Mónica Gumá, Anne N. Murphy, Joseph D. Tucker, Wen Chen, Ali Amini and Rosanna Ŵ. Peeling. Their work appears in journals such as BMC Infectious Diseases, Annals of the Rheumatic Diseases, Frontiers in Immunology, Systematic Reviews and Immunology.
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.