Jesse Eickholt
Impact in
- Molecular Biology top 5%
- Protein Structure and Dynamics
- Machine Learning in Bioinformatics
- Bioinformatics and Genomic Networks
- Genomics and Phylogenetic Studies
- Health Informatics top 10%
Papers in
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- Protein Structure and Dynamics 23
- Machine Learning in Bioinformatics 3
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- Teaching and Learning Programming 3
- Co-authors
- Jianlin Jack Cheng (19 shared papers)Xin Deng (9 shared papers)Zheng Wang (3 shared papers)Rajendra Prasad Joshi (2 shared papers)Verónica Barone (2 shared papers)Allison N. Tegge (2 shared papers)Zheng Wang (4 shared papers)Marco Fornari (1 shared paper)
- Journals
- BMC Bioinformatics (5 papers)Bioinformatics (3 papers)Scientific Reports (2 papers)ACS Applied Materials & Interfaces (2 papers)Proteins Structure Function and Bioinformatics (1 paper)
- Partner nations
- United StatesCzechia
In The Last Decade
Jesse Eickholt
46 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 111
- Molecular Biology 1.1k
- Health Informatics 28
- Computational Theory and Mathematics 86
- Materials Chemistry 192
- Drug Discovery 1
Countries citing papers authored by Jesse Eickholt
This map shows the geographic impact of Jesse Eickholt'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 Jesse Eickholt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jesse Eickholt more than expected).
Fields of papers citing papers by Jesse Eickholt
This network shows the impact of papers produced by Jesse Eickholt. 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 Jesse Eickholt. The network helps show where Jesse Eickholt may publish in the future.
Co-authors
The 25 scholars most cited alongside Jesse Eickholt, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 246 | |
| 2 | 2019 | 160 | |
| 3 | 2012 | 128 | |
| 4 | 2009 | 110 | |
| 5 | 2015 | 98 | |
| 6 | 2021 | 96 | |
| 7 | 2011 | 95 | |
| 8 | 2009 | 89 | |
| 9 | 2010 | 83 | |
| 10 | 2013 | 79 | |
| 11 | 2011 | 75 | |
| 12 | 2009 | 57 | |
| 13 | 2011 | 50 | |
| 14 | 2020 | 33 | |
| 15 | 2015 | 32 | |
| 16 | 2012 | 30 | |
| 17 | 2013 | 26 | |
| 18 | 2013 | 25 | |
| 19 | 2016 | 23 | |
| 20 | 2020 | 18 |
About Jesse Eickholt
Jesse Eickholt is a scholar working on Molecular Biology, Computer Science Applications, Water Science and Technology, Nature and Landscape Conservation and Education, having authored 47 papers that have together received 1.7k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (23 papers), Innovative Teaching Methods (7 papers), Water Quality Monitoring Technologies (6 papers), Fish Ecology and Management Studies (4 papers), Advanced Neural Network Applications (4 papers), Teaching and Learning Programming (3 papers), Machine Learning in Bioinformatics (3 papers) and Cloud Computing and Resource Management (2 papers). The work is most often cited by research in Molecular Biology (1.1k citations), Health Informatics (28 citations), Computational Theory and Mathematics (86 citations), Materials Chemistry (192 citations) and Drug Discovery (1 citation). Jesse Eickholt has collaborated with scholars based in United States and Czechia. Frequent co-authors include Jianlin Jack Cheng, Xin Deng, Zheng Wang, Rajendra Prasad Joshi, Verónica Barone, Allison N. Tegge, Zheng Wang, Marco Fornari, Juan E. Peralta and Liling Li. Their work appears in journals such as BMC Bioinformatics, Bioinformatics, Scientific Reports, ACS Applied Materials & Interfaces and Proteins Structure Function and Bioinformatics.
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.