D M Grennan
- Rheumatology top 0.5%
- Immunology top 2%
- Surgery top 10%
- Radiology, Nuclear Medicine and Imaging top 5%
- Molecular Biology
- Co-authors
- V.J. HylandV A DanisMichelle MillingtonPaul A. SandersM Chantal HillarbyD. G. PalmerP. A. DyerE. J. Davies
- Topics
- Systemic Lupus Erythematosus Research (34 papers)Monoclonal and Polyclonal Antibodies Research (27 papers)Rheumatoid Arthritis Research and Therapies (26 papers)
- Cited by
- RheumatologyImmunologyHematology
- Partner nations
- United KingdomAustraliaNew Zealand
In The Last Decade
D M Grennan
110 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 124
- Rheumatology 1.1k
- Immunology 960
- Surgery 362
- Radiology, Nuclear Medicine and Imaging 324
- Molecular Biology 259
Countries citing papers authored by D M Grennan
This map shows the geographic impact of D M Grennan'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 D M Grennan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D M Grennan more than expected).
Fields of papers citing papers by D M Grennan
This network shows the impact of papers produced by D M Grennan. 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 D M Grennan. The network helps show where D M Grennan may publish in the future.
Co-authorship network of co-authors of D M Grennan
This figure shows the co-authorship network connecting the top 25 collaborators of D M Grennan. A scholar is included among the top collaborators of D M Grennan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with D M Grennan. D M Grennan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 124 | |
| 2 | 31 | |
| 3 | 11 | |
| 4 | 130 | |
| 5 | 3 | |
| 6 | 5 | |
| 7 | 26 | |
| 8 | 6 | |
| 9 | Lack of association of the alpha-1-antitrypsin PIZ allele with rheumatoid arthritis or with its extra articular complications. | 8 |
| 10 | 34 | |
| 11 | 5 | |
| 12 | 6 | |
| 13 | 15 | |
| 14 | 4 | |
| 15 | 14 | |
| 16 | 10 | |
| 17 | 16 | |
| 18 | 9 | |
| 19 | [Evaluation of phenylalkanoic acid derivatives in the management of rheumatic diseases as well as various explanations on the doctrine of clinical research technics]. | 0 |
| 20 | 37 |
About D M Grennan
D M Grennan is a scholar working on Rheumatology, Immunology and Radiology, Nuclear Medicine and Imaging, having authored 113 papers that have together received 2.5k indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (34 papers), Monoclonal and Polyclonal Antibodies Research (27 papers) and Rheumatoid Arthritis Research and Therapies (26 papers). The work is most often cited by research in Rheumatology (1.1k citations), Immunology (960 citations) and Hematology (221 citations). D M Grennan has collaborated with scholars based in United Kingdom, Australia and New Zealand. Frequent co-authors include V.J. Hyland, V A Danis, Michelle Millington, Paul A. Sanders, M Chantal Hillarby, D. G. Palmer, P. A. Dyer, E. J. Davies, W C Dick and Wendy Thomson. Their work appears in journals such as Nature, Brain and Journal of Allergy and Clinical 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.