David R. Booth
Impact in
- Immunology top 2%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Nephrology top 1%
Papers in
- Immunology 51
- T-cell and B-cell Immunology 21
- Immune Cell Function and Interaction 17
- Immunotherapy and Immune Responses 12
-
- Multiple Sclerosis Research Studies 27
- Co-authors
- Philip N. HawkinsMark B. PepysGraeme J. StewartGrant P. ParnellHelen J. LachmannJulian D. GillmoreA BybeeVittorio Bellotti
- Journals
- PLoS ONE (8 papers)Genes and Immunity (6 papers)Frontiers in Immunology (5 papers)QJM (4 papers)Scientific Reports (3 papers)
- Partner nations
- AustraliaUnited KingdomUnited States
In The Last Decade
David R. Booth
113 papers receiving 6.0k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Immunology 1.4k
- Nephrology 469
- Molecular Biology 3.8k
- Pathology and Forensic Medicine 915
- Physiology 1.1k
Countries citing papers authored by David R. Booth
This map shows the geographic impact of David R. Booth'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 David R. Booth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David R. Booth more than expected).
Fields of papers citing papers by David R. Booth
This network shows the impact of papers produced by David R. Booth. 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 David R. Booth. The network helps show where David R. Booth may publish in the future.
Co-authors
The 25 scholars most cited alongside David R. Booth, 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 | 2025 | 0 | |
| 2 | 2021 | 24 | |
| 3 | 2021 | 17 | |
| 4 | 2021 | 25 | |
| 5 | 2021 | 14 | |
| 6 | 2017 | 23 | |
| 7 | 2017 | 23 | |
| 8 | 2015 | 39 | |
| 9 | 2014 | 3 | |
| 10 | 2010 | 46 | |
| 11 | 2010 | 20 | |
| 12 | 2008 | 26 | |
| 13 | 2008 | 58 | |
| 14 | 2006 | 10 | |
| 15 | 2005 | 33 | |
| 16 | 2000 | 37 | |
| 17 | 1999 | 57 | |
| 18 | 1998 | 55 | |
| 19 | Instability, unfolding and aggregation of human lysozyme variants underlying amyloid fibrillogenesis Hit paper breakdown → | 1997 | 891 |
| 20 | 1996 | 75 |
About David R. Booth
David R. Booth is a scholar working on Immunology, Pathology and Forensic Medicine, Nephrology, Oncology and Molecular Biology, having authored 115 papers that have together received 6.1k indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (27 papers), T-cell and B-cell Immunology (21 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (20 papers), Immune Cell Function and Interaction (17 papers), Immunotherapy and Immune Responses (12 papers), Systemic Lupus Erythematosus Research (7 papers), Cytokine Signaling Pathways and Interactions (7 papers) and Parathyroid Disorders and Treatments (7 papers). The work is most often cited by research in Immunology (1.4k citations), Nephrology (469 citations), Molecular Biology (3.8k citations), Pathology and Forensic Medicine (915 citations) and Physiology (1.1k citations). David R. Booth has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Philip N. Hawkins, Mark B. Pepys, Graeme J. Stewart, Grant P. Parnell, Helen J. Lachmann, Julian D. Gillmore, A Bybee, Vittorio Bellotti, Carol V. Robinson and Colin Blake. Their work appears in journals such as PLoS ONE, Genes and Immunity, Frontiers in Immunology, QJM and Scientific Reports.
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.