C. Codding
Impact in
- Rheumatology top 2%
- Rheumatoid Arthritis Research and Therapies
- Systemic Lupus Erythematosus Research
- Hematology top 10%
- Autoimmune and Inflammatory Disorders Research
Papers in
-
- Rheumatoid Arthritis Research and Therapies 5
- Systemic Lupus Erythematosus Research 2
- Osteoarthritis Treatment and Mechanisms 1
-
- Cholinesterase and Neurodegenerative Diseases 1
- Co-authors
- Maxime Dougados (2 shared papers)Michael Schiff (2 shared papers)S. Nayiager (2 shared papers)S Songcharoen (2 shared papers)M. Keiserman (2 shared papers)J-C Becker (1 shared paper)T. Li (1 shared paper)Chia‐Yen Lin (1 shared paper)
- Journals
- Annals of the Rheumatic Diseases (4 papers)Journal of Pain (1 paper)Osteoarthritis and Cartilage (1 paper)PubMed (1 paper)Arthritis & Rheumatism (1 paper)
- Partner nations
- United StatesBelgiumSwitzerland
In The Last Decade
C. Codding
9 papers receiving 547 citations
C. Codding's Hit Papers
Peers
Comparison fields: 5 of 54
- Rheumatology 405
- Hematology 97
- Genetics 52
- Immunology 100
- Radiology, Nuclear Medicine and Imaging 73
Countries citing papers authored by C. Codding
This map shows the geographic impact of C. Codding'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 C. Codding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. Codding more than expected).
Fields of papers citing papers by C. Codding
This network shows the impact of papers produced by C. Codding. 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 C. Codding. The network helps show where C. Codding may publish in the future.
Co-authors
The 25 scholars most cited alongside C. Codding, 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 | Efficacy and safety of abatacept or infliximab vs placebo in ATTEST: a phase III, multi-centre, randomised, double-blind, placebo-controlled study in patients with rheumatoid arthritis and an inadequate response to methotrexate Hit paper breakdown → | 2007 | 410 |
| 2 | 2004 | 67 | |
| 3 | 2011 | 46 | |
| 4 | 1989 | 26 | |
| 5 | Aseptic meningitis in association with diclofenac treatment in a patient with systemic lupus erythematosus. | 1991 | 16 |
| 6 | 2012 | 3 | |
| 7 | 2012 | 2 | |
| 8 | 2012 | 1 | |
| 9 | 2008 | 1 |
About C. Codding
C. Codding is a scholar working on Rheumatology, Pharmacology, Immunology, Physiology and Genetics, having authored 9 papers that have together received 572 indexed citations. Recurring topics across this work include Rheumatoid Arthritis Research and Therapies (5 papers), Pain Mechanisms and Treatments (2 papers), Systemic Lupus Erythematosus Research (2 papers), Pneumocystis jirovecii pneumonia detection and treatment (1 paper), Osteoarthritis Treatment and Mechanisms (1 paper), Cholinesterase and Neurodegenerative Diseases (1 paper), T-cell and B-cell Immunology (1 paper) and Immunodeficiency and Autoimmune Disorders (1 paper). The work is most often cited by research in Rheumatology (405 citations), Hematology (97 citations), Genetics (52 citations), Immunology (100 citations) and Radiology, Nuclear Medicine and Imaging (73 citations). C. Codding has collaborated with scholars based in United States, Belgium and Switzerland. Frequent co-authors include Maxime Dougados, Michael Schiff, S. Nayiager, S Songcharoen, M. Keiserman, J-C Becker, T. Li, Chia‐Yen Lin, R. Aranda and Alberto Berman. Their work appears in journals such as Annals of the Rheumatic Diseases, Journal of Pain, Osteoarthritis and Cartilage, PubMed and Arthritis & Rheumatism.
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.