John Ferguson
- Nephrology top 5%
- Chronic Kidney Disease and Diabetes 6
- Dialysis and Renal Disease Management 6
- Statistics and Probability top 10%
- Advanced Causal Inference Techniques 9
- Statistical Methods and Bayesian Inference 7
- Statistical Methods in Clinical Trials 6
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- Health Systems, Economic Evaluations, Quality of Life 11
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- Genetic Associations and Epidemiology 8
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- Blood Pressure and Hypertension Studies 6
- Co-authors
- Martin O’DonnellJoseph T. ChangYiming ZhouYuval KlugerAlberto Alvarez‐IglesiasAustin G. StackJudy H. ChoConor Judge
- Cited by
- NephrologyCancer ResearchHematology
- Journals
- JAMA (1 paper)SHILAP Revista de lepidopterología (2 papers)Bioinformatics (1 paper)
- Partner nations
- IrelandUnited StatesCanada
In The Last Decade
John Ferguson
65 papers receiving 878 citations
Peers
Comparison fields: 5 of 139
- Nephrology 103
- Cancer Research 80
- Hematology 59
- Statistics and Probability 37
- Immunology 94
Countries citing papers authored by John Ferguson
This map shows the geographic impact of John Ferguson'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 John Ferguson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Ferguson more than expected).
Fields of papers citing papers by John Ferguson
This network shows the impact of papers produced by John Ferguson. 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 John Ferguson. The network helps show where John Ferguson may publish in the future.
Co-authorship network
The 25 scholars most cited alongside John Ferguson, 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 | 2025 | 1 | |
| 2 | 2024 | 10 | |
| 3 | 2024 | 12 | |
| 4 | 2023 | 3 | |
| 5 | 2023 | 23 | |
| 6 | 2023 | 34 | |
| 7 | 2023 | 25 | |
| 8 | 2023 | 14 | |
| 9 | 2022 | 8 | |
| 10 | 2021 | 6 | |
| 11 | 2021 | 4 | |
| 12 | 2020 | 10 | |
| 13 | 2020 | 7 | |
| 14 | 2019 | 8 | |
| 15 | 2019 | 27 | |
| 16 | 2016 | 29 | |
| 17 | 2015 | 6 | |
| 18 | 2013 | 59 | |
| 19 | 2012 | 11 | |
| 20 | 2012 | 15 |
About John Ferguson
John Ferguson is a scholar working on Statistics and Probability, Nephrology and Equine, having authored 67 papers that have together received 892 indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (11 papers), Advanced Causal Inference Techniques (9 papers), Genetic Associations and Epidemiology (8 papers), Statistical Methods and Bayesian Inference (7 papers), Chronic Kidney Disease and Diabetes (6 papers), Dialysis and Renal Disease Management (6 papers), Blood Pressure and Hypertension Studies (6 papers) and Statistical Methods in Clinical Trials (6 papers). The work is most often cited by research in Nephrology (103 citations), Cancer Research (80 citations) and Hematology (59 citations). John Ferguson has collaborated with scholars based in Ireland, United States and Canada. Frequent co-authors include Martin O’Donnell, Joseph T. Chang, Yiming Zhou, Yuval Kluger, Alberto Alvarez‐Iglesias, Austin G. Stack, Judy H. Cho, Conor Judge, Liam Casserly and Matthew D. Griffin. Their work appears in journals such as JAMA, SHILAP Revista de lepidopterología and Bioinformatics.
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.