Jesse Eickholt
Impact in
- Molecular Biology top 10%
- Protein Structure and Dynamics
- Machine Learning in Bioinformatics
- RNA and protein synthesis mechanisms
- Genomics and Phylogenetic Studies
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- Computational Drug Discovery Methods
Papers in ⓘ
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- Experimental Learning in Engineering 7
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- Fish Ecology and Management Studies 8
- Co-authors
- Jianlin Cheng (19 shared papers)Xin Deng (9 shared papers)Matt Spencer (1 shared paper)Zheng Wang (3 shared papers)Allison N. Tegge (2 shared papers)Rajendra P. Joshi (2 shared papers)Verónica Barone (2 shared papers)Liling Li (3 shared papers)
- Journals
- BMC Bioinformatics (5 papers)Bioinformatics (3 papers)Scientific Reports (2 papers)ACS Applied Materials & Interfaces (2 papers)Electronics (1 paper)
- Partner nations
- United StatesCzechia
In The Last Decade
Jesse Eickholt
50 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 135
- Molecular Biology 1.1k
- Computational Theory and Mathematics 205
- Materials Chemistry 532
- Automotive Engineering 110
- Biophysics 23
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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 214 | |
| 2 | 2019 | 155 | |
| 3 | 2012 | 116 | |
| 4 | 2009 | 104 | |
| 5 | 2011 | 88 | |
| 6 | 2015 | 88 | |
| 7 | 2009 | 85 | |
| 8 | 2021 | 81 | |
| 9 | 2010 | 79 | |
| 10 | 2011 | 74 | |
| 11 | 2013 | 72 | |
| 12 | 2009 | 54 | |
| 13 | 2011 | 47 | |
| 14 | 2012 | 28 | |
| 15 | 2020 | 28 | |
| 16 | 2018 | 26 | |
| 17 | 2015 | 26 | |
| 18 | 2013 | 25 | |
| 19 | 2013 | 24 | |
| 20 | 2016 | 20 |
About Jesse Eickholt
Jesse Eickholt is a scholar working on Media Technology, Nature and Landscape Conservation, Computer Science Applications, Water Science and Technology and Developmental Biology, having authored 51 papers that have together received 1.6k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (22 papers), Enzyme Structure and Function (15 papers), Machine Learning in Bioinformatics (13 papers), Innovative Teaching Methods (9 papers), Fish Ecology and Management Studies (8 papers), Water Quality Monitoring Technologies (7 papers), Experimental Learning in Engineering (7 papers) and Genomics and Phylogenetic Studies (4 papers). The work is most often cited by research in Molecular Biology (1.1k citations), Computational Theory and Mathematics (205 citations), Materials Chemistry (532 citations), Automotive Engineering (110 citations) and Biophysics (23 citations). Jesse Eickholt has collaborated with scholars based in United States and Czechia. Frequent co-authors include Jianlin Cheng, Xin Deng, Matt Spencer, Zheng Wang, Allison N. Tegge, Rajendra P. Joshi, Verónica Barone, Liling Li, Zheng Wang and Marco Fornari. Their work appears in journals such as BMC Bioinformatics, Bioinformatics, Scientific Reports, ACS Applied Materials & Interfaces and Electronics.
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.