Kevin R. Oldenburg
- Molecular Biology top 1%
- Oncology top 5%
- Infectious Diseases top 2%
- Epidemiology top 5%
- Immunology top 5%
- Co-authors
- Ji-Hu ZhangThomas D.Y. ChungIlona KarivMark A. GallopDuraikkannu LoganathanIrwin GoldsteinPeter G. SchultzHong Cao
- Topics
- Cell Image Analysis Techniques (3 papers)Advanced Biosensing Techniques and Applications (3 papers)Innovative Microfluidic and Catalytic Techniques Innovation (2 papers)
- Cited by
- Molecular BiologyBiophysicsVirology
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- United StatesGermanyAustralia
In The Last Decade
Kevin R. Oldenburg
36 papers receiving 6.7k citations
Hit Papers
Peers
Comparison fields: 5 of 160
- Molecular Biology 4.5k
- Oncology 722
- Infectious Diseases 628
- Epidemiology 577
- Immunology 561
Countries citing papers authored by Kevin R. Oldenburg
This map shows the geographic impact of Kevin R. Oldenburg'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 Kevin R. Oldenburg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin R. Oldenburg more than expected).
Fields of papers citing papers by Kevin R. Oldenburg
This network shows the impact of papers produced by Kevin R. Oldenburg. 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 Kevin R. Oldenburg. The network helps show where Kevin R. Oldenburg may publish in the future.
Co-authorship network of co-authors of Kevin R. Oldenburg
This figure shows the co-authorship network connecting the top 25 collaborators of Kevin R. Oldenburg. A scholar is included among the top collaborators of Kevin R. Oldenburg 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 Kevin R. Oldenburg. Kevin R. Oldenburg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 17 | |
| 5 | 26 | |
| 6 | 4 | |
| 7 | 4 | |
| 8 | 42 | |
| 9 | 18 | |
| 10 | 10 | |
| 11 | 110 | |
| 12 | 49 | |
| 13 | 9 | |
| 14 | 15 | |
| 15 | 16 | |
| 16 | A Simple Statistical Parameter for Use in Evaluation and Validation of High Throughput Screening Assaysbreakdown → | 5579 |
| 17 | 34 | |
| 18 | 46 | |
| 19 | 10 | |
| 20 | 11 |
About Kevin R. Oldenburg
Kevin R. Oldenburg is a scholar working on Biophysics, Transplantation and Molecular Biology, having authored 37 papers that have together received 7.0k indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (3 papers), Advanced Biosensing Techniques and Applications (3 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (2 papers). The work is most often cited by research in Molecular Biology (4.5k citations), Biophysics (364 citations) and Virology (167 citations). Kevin R. Oldenburg has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Ji-Hu Zhang, Thomas D.Y. Chung, Ilona Kariv, Mark A. Gallop, Duraikkannu Loganathan, Irwin Goldstein, Peter G. Schultz, Hong Cao, Harold E. Selick and Tongming Chen. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological 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.