James C. Boyd

104 papers receiving 4.7k citations

Peers

James C. Boyd
Comparison fields: 5 of 165
  • Nephrology 385
  • Statistics, Probability and Uncertainty 363
  • Endocrinology, Diabetes and Metabolism 555
  • Physiology 729
  • Statistics and Probability 243
Replace Lyle D. Broemeling with:
Lyle D. Broemeling United States
Thomas Streichert Germany
Erik Christensen Denmark
Nancy L. Geller United States
Hajime Uno United States
Ivan Brandslund Denmark
Jean‐Pierre Daurès France
Walter Lehmacher Germany
James Neuberger United Kingdom
Camilla Mattiuzzi Italy
James C. Boyd relative to Lyle D. Broemeling United States Lyle D. Broemeling's profile →
Citations per field
00.5×3.9×
Lyle D. Broemeling · 1×
Citations per year

Countries citing papers authored by James C. Boyd

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with James C. Boyd Line = papers co-authored together James C. Boyd links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 107 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990303
2 2005242
3 1995238
4 2008189
5 2001182
6 1995177
7 1978169
8 2010163
9 1997129
10 1995127
11 2002123
12 2008111
13 2004109
14 1997109
15 200197
16 200293
17 197591
18 201088
19 199988
20 200184

About James C. Boyd

James C. Boyd is a scholar working on Physiology, Molecular Biology, Epidemiology, Endocrinology, Diabetes and Metabolism and Pulmonary and Respiratory Medicine, having authored 107 papers that have together received 5.0k indexed citations. Recurring topics across this work include Clinical Laboratory Practices and Quality Control (19 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (8 papers), Prostate Cancer Diagnosis and Treatment (7 papers), Meta-analysis and systematic reviews (6 papers), Microtubule and mitosis dynamics (6 papers), Statistical Methods in Clinical Trials (6 papers), Glioma Diagnosis and Treatment (5 papers) and Organ Transplantation Techniques and Outcomes (3 papers). The work is most often cited by research in Nephrology (385 citations), Statistics, Probability and Uncertainty (363 citations), Endocrinology, Diabetes and Metabolism (555 citations), Physiology (729 citations) and Statistics and Probability (243 citations). James C. Boyd has collaborated with scholars based in United States, United Kingdom and Norway. Frequent co-authors include Eugene K. Harris, David E. Bruns, Dan Theodorescu, Henry F. Frierson, Christopher P. Price, Stacey E. Mills, M. J. Gaffey, Jack H. Ladenson, Kiyoshi Ichihara and R G Newall. Their work appears in journals such as Clinical Chemistry, American Journal of Clinical Pathology, Cancer, Urology and Neuropathology and Applied Neurobiology.

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.

Explore authors with similar magnitude of impact