Kevin R. Oldenburg

8.7k citations
37 papers · 7.0k indexed · 1 hit paper · h-index 17

Kevin R. Oldenburg

36 papers receiving 6.7k citations

Hit Papers

A Simple Statistical Parameter for Use in Evaluation and ...5.6k199920262008201710002.0k3.0k4.0k5.0k

Peers

Kevin R. Oldenburg
Comparison fields: 5 of 160
  • Molecular Biology 4.5k
  • Biophysics 364
  • Virology 167
  • Infectious Diseases 628
  • Computational Theory and Mathematics 510
Replace Ji-Hu Zhang with:
Ji-Hu Zhang United States
Thomas D.Y. Chung United States
Ben Webb United States
Tanja Kortemme United States
Dina Schneidman‐Duhovny United States
Michelle R. Arkin United States
Marc A. Martı́-Renom Spain
Sergey Ovchinnikov United States
Timothy G. Myers United States
Jean‐Marie Ruysschaert Belgium
Kevin R. Oldenburg relative to Ji-Hu Zhang United States Ji-Hu Zhang's profile →
Citations per field
00.5×1.5×
Ji-Hu Zhang · 1×
Citations per year

Countries citing papers authored by Kevin R. Oldenburg

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Kevin R. Oldenburg, 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 Kevin R. Oldenburg Line = papers co-authored together Kevin R. Oldenburg links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20231
4 202217
5 202226
6 20214
7 20184
8 200542
9 200118
10 200110
11 2001110
12 199949
13 19999
14 199915
15 199916
16
A Simple Statistical Parameter for Use in Evaluation and Validation of High Throughput Screening Assaysbreakdown →
19995579
17 199934
18 199546
19 199410
20 199011

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), Innovative Microfluidic and Catalytic Techniques Innovation (2 papers), bioluminescence and chemiluminescence research (2 papers), Copper-based nanomaterials and applications (2 papers), Biotin and Related Studies (2 papers), Gold and Silver Nanoparticles Synthesis and Applications (2 papers) and Aluminum Alloys Composites Properties (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 SLAS DISCOVERY, Analytical Biochemistry, Journal of Pharmaceutical Sciences, The Journal of Physical Chemistry C and Metals.

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.

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