D. J. Byrd
Impact in
- Nephrology top 1%
- Chronic Kidney Disease and Diabetes
- Dialysis and Renal Disease Management
- Acute Kidney Injury Research
- Clinical Biochemistry top 1%
- Metabolism and Genetic Disorders
Papers in
-
- Metabolism and Genetic Disorders 11
-
- Amino Acid Enzymes and Metabolism 8
- Co-authors
- Johannes BrodehlArend BökenkampRaymund ZinckG. SchumannJ. BrodehlK. BartholoméFriedrich K. TrefzW. Kochen
- Journals
- Pediatric Nephrology (5 papers)Clinical Chemistry and Laboratory Medicine (CCLM) (3 papers)The Lancet (3 papers)PEDIATRICS (2 papers)Clinical Chemistry (2 papers)
- Partner nations
- GermanyUnited StatesHungary
In The Last Decade
D. J. Byrd
37 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 98
- Nephrology 452
- Clinical Biochemistry 319
- Transplantation 47
- Pediatrics, Perinatology and Child Health 272
- Biochemistry 91
Countries citing papers authored by D. J. Byrd
This map shows the geographic impact of D. J. Byrd'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 D. J. Byrd with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. J. Byrd more than expected).
Fields of papers citing papers by D. J. Byrd
This network shows the impact of papers produced by D. J. Byrd. 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 D. J. Byrd. The network helps show where D. J. Byrd may publish in the future.
Co-authorship network
The 25 scholars most cited alongside D. J. Byrd, 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 | 2017 | 14 | |
| 2 | 2014 | 13 | |
| 3 | 2000 | 9 | |
| 4 | 1998 | 25 | |
| 5 | 1997 | 105 | |
| 6 | 1997 | 28 | |
| 7 | 1996 | 70 | |
| 8 | 1995 | 72 | |
| 9 | 1994 | 34 | |
| 10 | 1994 | 1 | |
| 11 | 1994 | 5 | |
| 12 | 1994 | 23 | |
| 13 | 1993 | 10 | |
| 14 | 1991 | 163 | |
| 15 | 1990 | 25 | |
| 16 | 1989 | 22 | |
| 17 | 1988 | 7 | |
| 18 | Indolic tryptophan metabolism in uraemia. | 1976 | 5 |
| 19 | 1975 | 39 | |
| 20 | 1974 | 27 |
About D. J. Byrd
D. J. Byrd is a scholar working on Clinical Biochemistry, Biochemistry, Biological Psychiatry, Nephrology and Transplantation, having authored 37 papers that have together received 1.4k indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (11 papers), Amino Acid Enzymes and Metabolism (8 papers), Kidney Stones and Urolithiasis Treatments (8 papers), Mitochondrial Function and Pathology (4 papers), Dialysis and Renal Disease Management (4 papers), Folate and B Vitamins Research (4 papers), Porphyrin Metabolism and Disorders (3 papers) and Parathyroid Disorders and Treatments (3 papers). The work is most often cited by research in Nephrology (452 citations), Clinical Biochemistry (319 citations), Transplantation (47 citations), Pediatrics, Perinatology and Child Health (272 citations) and Biochemistry (91 citations). D. J. Byrd has collaborated with scholars based in Germany, United States and Hungary. Frequent co-authors include Johannes Brodehl, Arend Bökenkamp, Raymund Zinck, G. Schumann, J. Brodehl, K. Bartholomé, Friedrich K. Trefz, W. Kochen, György Reusz and Kay Latta. Their work appears in journals such as Pediatric Nephrology, Clinical Chemistry and Laboratory Medicine (CCLM), The Lancet, PEDIATRICS and Clinical Chemistry.
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.