Gary Faulds
Impact in
- Immunology top 5%
- Immune Response and Inflammation
- Immune Cell Function and Interaction
- Atherosclerosis and Cardiovascular Diseases
- Biological Psychiatry top 10%
Papers in
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- thermodynamics and calorimetric analyses 3
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- Lipid metabolism and biosynthesis 2
- Co-authors
- Steve Eric Humphries (1 shared paper)Vidya Mohamed‐Ali (1 shared paper)Daniel Fishman (1 shared paper)Rachel C. Jeffery (1 shared paper)Patricia M. Woo (1 shared paper)John S Yudkin (1 shared paper)Peter Arner (3 shared papers)Mikael Rydén (2 shared papers)
- Journals
- Lara D. Veeken (3 papers)Diabetologia (1 paper)The Journal of Clinical Endocrinology & Metabolism (1 paper)Diabetes (1 paper)Insect Biochemistry and Molecular Biology (1 paper)
- Partner nations
- United KingdomSwedenIndia
In The Last Decade
Gary Faulds
8 papers receiving 2.3k citations
Gary Faulds's Hit Papers
Peers
Comparison fields: 5 of 104
- Immunology 618
- Biological Psychiatry 52
- Hematology 236
- Periodontics 77
- Epidemiology 451
Countries citing papers authored by Gary Faulds
This map shows the geographic impact of Gary Faulds'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 Gary Faulds with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gary Faulds more than expected).
Fields of papers citing papers by Gary Faulds
This network shows the impact of papers produced by Gary Faulds. 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 Gary Faulds. The network helps show where Gary Faulds may publish in the future.
Co-authors
The 22 scholars most cited alongside Gary Faulds, 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 | The effect of novel polymorphisms in the interleukin-6 (IL-6) gene on IL-6 transcription and plasma IL-6 levels, and an association with systemic-onset juvenile chronic arthritis. Hit paper breakdown → | 1998 | 2013 |
| 2 | 2003 | 133 | |
| 3 | 2003 | 117 | |
| 4 | 2002 | 58 | |
| 5 | 1994 | 53 | |
| 6 | 1995 | 25 | |
| 7 | 1994 | 10 | |
| 8 | 1996 | 1 |
About Gary Faulds
Gary Faulds is a scholar working on Physical and Theoretical Chemistry, Biochemistry, Cell Biology, Molecular Biology and Rehabilitation, having authored 8 papers that have together received 2.4k indexed citations. Recurring topics across this work include Heat shock proteins research (3 papers), thermodynamics and calorimetric analyses (3 papers), Lipid metabolism and biosynthesis (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Autoimmune and Inflammatory Disorders Research (1 paper), Pancreatic function and diabetes (1 paper), Adipose Tissue and Metabolism (1 paper) and Cholinesterase and Neurodegenerative Diseases (1 paper). The work is most often cited by research in Immunology (618 citations), Biological Psychiatry (52 citations), Hematology (236 citations), Periodontics (77 citations) and Epidemiology (451 citations). Gary Faulds has collaborated with scholars based in United Kingdom, Sweden and India. Frequent co-authors include Steve Eric Humphries, Vidya Mohamed‐Ali, Daniel Fishman, Rachel C. Jeffery, Patricia M. Woo, John S Yudkin, Peter Arner, Mikael Rydén, Ingvar Ek and Hans Wahrenberg. Their work appears in journals such as Lara D. Veeken, Diabetologia, The Journal of Clinical Endocrinology & Metabolism, Diabetes and Insect Biochemistry and Molecular Biology.
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.