Douglas S. Kerr
- Molecular Biology top 10%
- Clinical Biochemistry top 0.5%
- Biochemistry top 1%
- Computer Networks and Communications top 5%
- Artificial Intelligence top 5%
- Co-authors
- Mulchand S. PatelCharles L. HoppelMartin FlavinIsaiah D. WexlerUros RoessmannBeverly Barrett DahmsPhilip W. LandfieldDavid K. Hsiao
- Topics
- Metabolism and Genetic Disorders (26 papers)Biochemical Acid Research Studies (13 papers)Amino Acid Enzymes and Metabolism (11 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Investigation
- Partner nations
- United StatesNew ZealandAustralia
In The Last Decade
Douglas S. Kerr
70 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 154
- Molecular Biology 978
- Clinical Biochemistry 643
- Biochemistry 384
- Computer Networks and Communications 330
- Artificial Intelligence 277
Countries citing papers authored by Douglas S. Kerr
This map shows the geographic impact of Douglas S. Kerr'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 Douglas S. Kerr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Douglas S. Kerr more than expected).
Fields of papers citing papers by Douglas S. Kerr
This network shows the impact of papers produced by Douglas S. Kerr. 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 Douglas S. Kerr. The network helps show where Douglas S. Kerr may publish in the future.
Co-authorship network of co-authors of Douglas S. Kerr
This figure shows the co-authorship network connecting the top 25 collaborators of Douglas S. Kerr. A scholar is included among the top collaborators of Douglas S. Kerr based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Douglas S. Kerr. Douglas S. Kerr is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 3 | |
| 3 | 8 | |
| 4 | 13 | |
| 5 | 21 | |
| 6 | Critical Zone 3: A Forum of Chinese and Western Knowledge | 2 |
| 7 | 50 | |
| 8 | 11 | |
| 9 | 164 | |
| 10 | 15 | |
| 11 | 26 | |
| 12 | 12 | |
| 13 | 7 | |
| 14 | 23 | |
| 15 | 14 | |
| 16 | 23 | |
| 17 | 141 | |
| 18 | 9 | |
| 19 | Privacy and security of data communications and data bases | 6 |
| 20 | Proceedings of the International Conference on Very Large Data Basesbreakdown → | 521 |
About Douglas S. Kerr
Douglas S. Kerr is a scholar working on Clinical Biochemistry, Biochemistry and Computer Science Applications, having authored 74 papers that have together received 2.1k indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (26 papers), Biochemical Acid Research Studies (13 papers) and Amino Acid Enzymes and Metabolism (11 papers). The work is most often cited by research in Clinical Biochemistry (643 citations), Biochemistry (384 citations) and Signal Processing (229 citations). Douglas S. Kerr has collaborated with scholars based in United States, New Zealand and Australia. Frequent co-authors include Mulchand S. Patel, Charles L. Hoppel, Martin Flavin, Isaiah D. Wexler, Uros Roessmann, Beverly Barrett Dahms, Philip W. Landfield, David K. Hsiao, Marilyn M Lusk and Michael D. Applegate. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.