George Wells
- Rheumatology top 1%
- Oncology top 10%
- Dermatology top 1%
- Cardiology and Cardiovascular Medicine top 10%
- Molecular Biology
- Co-authors
- I. W. WHIMSTERNeil SmithAllan DonnerNicholas C. NicolaidesS.M. BREATHNACHP.J. AugustT. J. PetersC. Rimington
- Topics
- Autoimmune Bullous Skin Diseases (13 papers)Autoimmune and Inflammatory Disorders (10 papers)Medicine and Dermatology Studies History (6 papers)
- Cited by
- DermatologyRheumatologyOncology
- Partner nations
- United KingdomSouth AfricaUnited States
In The Last Decade
George Wells
77 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Rheumatology 657
- Oncology 450
- Dermatology 441
- Cardiology and Cardiovascular Medicine 271
- Molecular Biology 259
Countries citing papers authored by George Wells
This map shows the geographic impact of George Wells'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 George Wells with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites George Wells more than expected).
Fields of papers citing papers by George Wells
This network shows the impact of papers produced by George Wells. 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 George Wells. The network helps show where George Wells may publish in the future.
Co-authorship network of co-authors of George Wells
This figure shows the co-authorship network connecting the top 25 collaborators of George Wells. A scholar is included among the top collaborators of George Wells 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 George Wells. George Wells is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | Interprocess Communication in Java. | 3 |
| 3 | 1 | |
| 4 | Grid Computing in an Academic Environment. | 1 |
| 5 | A Tuple Space Web Service for Distributed Programming. | 5 |
| 6 | 11 | |
| 7 | 7 | |
| 8 | Linda implementations in Java for concurrent systems: Research Articles | 7 |
| 9 | 45 | |
| 10 | Creating a Web-based Spatiotemporal GIS using Java and VRML | 0 |
| 11 | Use of a Commercial Visual Programming Language to Simulate, Decommutate, Test and Display a Telemetry Stream | 1 |
| 12 | 2 | |
| 13 | 21 | |
| 14 | 27 | |
| 15 | 20 | |
| 16 | 51 | |
| 17 | 16 | |
| 18 | 51 | |
| 19 | 11 | |
| 20 | 13 |
About George Wells
George Wells is a scholar working on Dermatology, Hardware and Architecture and Pathology and Forensic Medicine, having authored 84 papers that have together received 2.0k indexed citations. Recurring topics across this work include Autoimmune Bullous Skin Diseases (13 papers), Autoimmune and Inflammatory Disorders (10 papers) and Medicine and Dermatology Studies History (6 papers). The work is most often cited by research in Dermatology (441 citations), Rheumatology (657 citations) and Oncology (450 citations). George Wells has collaborated with scholars based in United Kingdom, South Africa and United States. Frequent co-authors include I. W. WHIMSTER, Neil Smith, Allan Donner, Nicholas C. Nicolaides, S.M. BREATHNACH, P.J. August, T. J. Peters, C. Rimington, C. D. Calnan and M M Webb-Peploe. Their work appears in journals such as The Lancet, The Science of The Total Environment and Biometrics.
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.