James C. Boyd
Impact in
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- Meta-analysis and systematic reviews
- Nephrology top 1%
- Renal function and acid-base balance
Papers in
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- Statistical Methods in Clinical Trials 11
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- Meta-analysis and systematic reviews 8
- Co-authors
- Eugene K. HarrisDavid E. BrunsDan TheodorescuHenry F. FriersonChristopher P. PriceStacey E. MillsM. J. GaffeyKiyoshi Ichihara
- Journals
- Clinical Chemistry (27 papers)American Journal of Clinical Pathology (8 papers)Cancer (5 papers)Clinical Chemistry and Laboratory Medicine (CCLM) (3 papers)Urology (3 papers)
- Partner nations
- United StatesUnited KingdomDenmark
In The Last Decade
James C. Boyd
102 papers receiving 4.4k citations
Peers
Comparison fields: 5 of 166
- Statistics, Probability and Uncertainty 490
- Nephrology 465
- Endocrinology, Diabetes and Metabolism 626
- Statistics and Probability 305
- Physiology 832
Countries citing papers authored by James C. Boyd
This map shows the geographic impact of James C. Boyd'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 James C. Boyd with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James C. Boyd more than expected).
Fields of papers citing papers by James C. Boyd
This network shows the impact of papers produced by James C. Boyd. 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 James C. Boyd. The network helps show where James C. Boyd may publish in the future.
Co-authorship network
The 25 scholars most cited alongside James C. Boyd, 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 | 2014 | 11 | |
| 2 | 2013 | 78 | |
| 3 | 2013 | 13 | |
| 4 | 2010 | 51 | |
| 5 | 2009 | 38 | |
| 6 | 2006 | 74 | |
| 7 | 2004 | 18 | |
| 8 | 2003 | 68 | |
| 9 | 2002 | 14 | |
| 10 | 2002 | 93 | |
| 11 | 2002 | 47 | |
| 12 | 2001 | 13 | |
| 13 | 2000 | 25 | |
| 14 | 1998 | 17 | |
| 15 | 1997 | 48 | |
| 16 | 1996 | 14 | |
| 17 | 1996 | 30 | |
| 18 | Quantitative evaluation of Al maltolate-induced neurodegeneration with subsequent Al removal by desferrioxamine treatment. | 1995 | 7 |
| 19 | 1994 | 19 | |
| 20 | 1987 | 3 |
About James C. Boyd
James C. Boyd is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty, Nephrology, Physiology and Developmental Neuroscience, having authored 103 papers that have together received 4.7k indexed citations. Recurring topics across this work include Clinical Laboratory Practices and Quality Control (23 papers), Statistical Methods in Clinical Trials (11 papers), Prostate Cancer Diagnosis and Treatment (9 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (8 papers), Meta-analysis and systematic reviews (8 papers), Diabetes Management and Research (7 papers), Prostate Cancer Treatment and Research (7 papers) and Glioma Diagnosis and Treatment (6 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (490 citations), Nephrology (465 citations), Endocrinology, Diabetes and Metabolism (626 citations), Statistics and Probability (305 citations) and Physiology (832 citations). James C. Boyd has collaborated with scholars based in United States, United Kingdom and Denmark. Frequent co-authors include Eugene K. Harris, David E. Bruns, Dan Theodorescu, Henry F. Frierson, Christopher P. Price, Stacey E. Mills, M. J. Gaffey, Kiyoshi Ichihara, Jack H. Ladenson and R G Newall. Their work appears in journals such as Clinical Chemistry, American Journal of Clinical Pathology, Cancer, Clinical Chemistry and Laboratory Medicine (CCLM) and Urology.
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.