Simon Gibbs
Impact in
- Nephrology top 1%
- Parathyroid Disorders and Treatments
- Genetics top 5%
- Dermatological and Skeletal Disorders
Papers in
-
- Amyloidosis: Diagnosis, Treatment, Outcomes 48
- Hematology 21
- Multiple Myeloma Research and Treatments 15
- Co-authors
- Ashutosh Wechalekar (33 shared papers)Philip N. Hawkins (32 shared papers)Jennifer H. Pinney (22 shared papers)Helen J. Lachmann (30 shared papers)Julian D. Gillmore (31 shared papers)Carol Whelan (15 shared papers)Dorota Rowczenio (12 shared papers)Christopher P. Venner (15 shared papers)
- Journals
- Blood (24 papers)British Journal of Haematology (3 papers)Journal of Clinical Oncology (3 papers)Journal of Cardiovascular Magnetic Resonance (3 papers)Gastroenterology (3 papers)
- Partner nations
- United KingdomAustraliaUnited States
In The Last Decade
Simon Gibbs
72 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 61
- Nephrology 512
- Genetics 284
- Molecular Biology 1.8k
- Hematology 217
- Rheumatology 221
Countries citing papers authored by Simon Gibbs
This map shows the geographic impact of Simon Gibbs'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 Simon Gibbs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon Gibbs more than expected).
Fields of papers citing papers by Simon Gibbs
This network shows the impact of papers produced by Simon Gibbs. 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 Simon Gibbs. The network helps show where Simon Gibbs may publish in the future.
Co-authors
The 25 scholars most cited alongside Simon Gibbs, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 281 | |
| 2 | 2014 | 248 | |
| 3 | 2012 | 246 | |
| 4 | 2012 | 207 | |
| 5 | 2013 | 197 | |
| 6 | 2011 | 138 | |
| 7 | 2011 | 105 | |
| 8 | 2011 | 101 | |
| 9 | 1988 | 92 | |
| 10 | 2012 | 67 | |
| 11 | 2014 | 64 | |
| 12 | 2011 | 63 | |
| 13 | 2012 | 50 | |
| 14 | 2022 | 49 | |
| 15 | 2016 | 48 | |
| 16 | 2014 | 45 | |
| 17 | 2013 | 37 | |
| 18 | 2005 | 24 | |
| 19 | 2006 | 15 | |
| 20 | 2009 | 13 |
About Simon Gibbs
Simon Gibbs is a scholar working on Molecular Biology, Hematology, Genetics, Nephrology and Oncology, having authored 76 papers that have together received 2.3k indexed citations. Recurring topics across this work include Amyloidosis: Diagnosis, Treatment, Outcomes (48 papers), Multiple Myeloma Research and Treatments (15 papers), Chronic Lymphocytic Leukemia Research (11 papers), Parathyroid Disorders and Treatments (11 papers), Cancer Treatment and Pharmacology (6 papers), Neuroendocrine Tumor Research Advances (6 papers), Dermatological and Skeletal Disorders (5 papers) and Pancreatitis Pathology and Treatment (5 papers). The work is most often cited by research in Nephrology (512 citations), Genetics (284 citations), Molecular Biology (1.8k citations), Hematology (217 citations) and Rheumatology (221 citations). Simon Gibbs has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Ashutosh Wechalekar, Philip N. Hawkins, Jennifer H. Pinney, Helen J. Lachmann, Julian D. Gillmore, Carol Whelan, Dorota Rowczenio, Christopher P. Venner, Janet A. Gilbertson and Prayman Sattianayagam. Their work appears in journals such as Blood, British Journal of Haematology, Journal of Clinical Oncology, Journal of Cardiovascular Magnetic Resonance and Gastroenterology.
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.