Earl Cornell
Impact in
-
- Enzyme Structure and Function
- Machine Learning in Materials Science
Papers in
-
- Enzyme Structure and Function 2
-
- Gene expression and cancer classification 1
- Co-authors
- D.T. Yegian (3 shared papers)Jian Jin (2 shared papers)Raymond C. Stevens (2 shared papers)John M. Gregoire (4 shared papers)Slobodan Mitrović (4 shared papers)Alun Jones (1 shared paper)Daniel Scheibe (1 shared paper)Peter G. Schultz (1 shared paper)
- Journals
- Review of Scientific Instruments (4 papers)Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment (1 paper)Journal of Instrumentation (1 paper)Journal of The Electrochemical Society (1 paper)Journal of Applied Crystallography (1 paper)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Earl Cornell
13 papers receiving 357 citations
Peers
Comparison fields: 5 of 76
- Materials Chemistry 223
- Structural Biology 6
- Renewable Energy, Sustainability and the Environment 47
- Molecular Biology 176
- Spectroscopy 40
Countries citing papers authored by Earl Cornell
This map shows the geographic impact of Earl Cornell'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 Earl Cornell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Earl Cornell more than expected).
Fields of papers citing papers by Earl Cornell
This network shows the impact of papers produced by Earl Cornell. 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 Earl Cornell. The network helps show where Earl Cornell may publish in the future.
Co-authors
The 25 scholars most cited alongside Earl Cornell, 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 | 2002 | 135 | |
| 2 | 2004 | 84 | |
| 3 | 2013 | 49 | |
| 4 | 2015 | 31 | |
| 5 | 2018 | 21 | |
| 6 | 2008 | 13 | |
| 7 | 2013 | 10 | |
| 8 | 2008 | 5 | |
| 9 | 2007 | 4 | |
| 10 | 2022 | 3 | |
| 11 | 2023 | 3 | |
| 12 | 2010 | 3 | |
| 13 | 2014 | 1 |
About Earl Cornell
Earl Cornell is a scholar working on Materials Chemistry, Molecular Biology, Renewable Energy, Sustainability and the Environment, Spectroscopy and Electrical and Electronic Engineering, having authored 13 papers that have together received 362 indexed citations. Recurring topics across this work include Mass Spectrometry Techniques and Applications (2 papers), Enzyme Structure and Function (2 papers), Electrocatalysts for Energy Conversion (2 papers), Advanced Proteomics Techniques and Applications (1 paper), Conservation Techniques and Studies (1 paper), Gene expression and cancer classification (1 paper), Animal Genetics and Reproduction (1 paper) and Advanced Photocatalysis Techniques (1 paper). The work is most often cited by research in Materials Chemistry (223 citations), Structural Biology (6 citations), Renewable Energy, Sustainability and the Environment (47 citations), Molecular Biology (176 citations) and Spectroscopy (40 citations). Earl Cornell has collaborated with scholars based in United States, China and Canada. Frequent co-authors include D.T. Yegian, Jian Jin, Raymond C. Stevens, John M. Gregoire, Slobodan Mitrović, Alun Jones, Daniel Scheibe, Peter G. Schultz, Bernard D. Santarsiero and William F. Kolbe. Their work appears in journals such as Review of Scientific Instruments, Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, Journal of Instrumentation, Journal of The Electrochemical Society and Journal of Applied Crystallography.
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.