Jesse Eickholt

2.1k total citations
51 papers, 1.6k citations indexed

About

Jesse Eickholt is a scholar working on Molecular Biology, Materials Chemistry and Education. According to data from OpenAlex, Jesse Eickholt has authored 51 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 17 papers in Materials Chemistry and 10 papers in Education. Recurrent topics in Jesse Eickholt's work include Protein Structure and Dynamics (22 papers), Enzyme Structure and Function (15 papers) and Machine Learning in Bioinformatics (13 papers). Jesse Eickholt is often cited by papers focused on Protein Structure and Dynamics (22 papers), Enzyme Structure and Function (15 papers) and Machine Learning in Bioinformatics (13 papers). Jesse Eickholt collaborates with scholars based in United States and Czechia. Jesse Eickholt's co-authors include Jianlin Cheng, Xin Deng, Matt Spencer, Zheng Wang, Allison N. Tegge, Verónica Barone, Rajendra P. Joshi, Liling Li, Zheng Wang and Zhili Wang and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and Scientific Reports.

In The Last Decade

Jesse Eickholt

50 papers receiving 1.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Jesse Eickholt United States	20	1.1k	532	205	187	110	51	1.6k
Jianhua Wei China	28	804 0.8×	126 0.2×	27 0.1×	499 2.7×	69 0.6×	197	2.8k
Zhonghua Lu China	16	250 0.2×	71 0.1×	42 0.2×	188 1.0×	98 0.9×	98	1.3k
Siddharth Goyal United States	15	1.3k 1.2×	687 1.3×	407 2.0×	336 1.8×	12 0.1×	28	2.8k
Xiaoling Wang China	19	717 0.7×	303 0.6×	61 0.3×	81 0.4×	4 0.0×	105	1.5k
Jörg Bauer Germany	20	954 0.9×	83 0.2×	44 0.2×	46 0.2×	10 0.1×	64	1.8k
Rui Gao China	22	413 0.4×	485 0.9×	107 0.5×	231 1.2×	4 0.0×	91	1.5k
Adrián Jinich United States	12	283 0.3×	247 0.5×	113 0.6×	162 0.9×	15 0.1×	19	790
Takeshi Matsui Japan	18	254 0.2×	165 0.3×	55 0.3×	154 0.8×	12 0.1×	65	1.0k
Pengyun Chen China	19	185 0.2×	448 0.8×	11 0.1×	197 1.1×	45 0.4×	122	1.4k
Xiaodong Liu China	20	615 0.6×	126 0.2×	23 0.1×	118 0.6×	67 0.6×	74	1.7k

Countries citing papers authored by Jesse Eickholt

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Jesse Eickholt

This figure shows the co-authorship network connecting the top 25 collaborators of Jesse Eickholt. A scholar is included among the top collaborators of Jesse Eickholt 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 Jesse Eickholt. Jesse Eickholt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Miehls, Scott, et al.. (2025). A Real-Time Fish Detection System for Partially Dewatered Fish to Support Selective Fish Passage. Sensors. 25(4). 1022–1022. 2 indexed citations

Eickholt, Jesse, et al.. (2025). Advancing Fisheries Research and Management with Computer Vision: A Survey of Recent Developments and Pending Challenges. Fishes. 10(2). 74–74.

Eickholt, Jesse, et al.. (2024). Evaluating the Effectiveness of an Object Detection Pipeline to Support Surveillance of Unintended Passage. 1–8. 3 indexed citations

Eickholt, Jesse, et al.. (2024). Labeled images of emerged salmonids in a riverine environment. BMC Research Notes. 17(1). 348–348. 1 indexed citations

Eickholt, Jesse. (2020). FishL Low Resolution Images of Fish from the Great Lakes Region. OSF Preprints (OSF Preprints). 1 indexed citations

Eickholt, Jesse, et al.. (2019). Creating a culture and environment for active learning success. Journal of computing sciences in colleges. 34(3). 20–21. 1 indexed citations

Seeling, Patrick, et al.. (2019). Low-Cost Active Learning Benefits for Introductory Computer Science Courses. 1–4. 1 indexed citations

Eickholt, Jesse. (2018). An Underwater Observation Dataset of Fish. OSF Preprints (OSF Preprints). 2 indexed citations

McCann, Erin, Liling Li, Kevin L. Pangle, Nicholas S. Johnson, & Jesse Eickholt. (2018). An underwater observation dataset for fish classification and fishery assessment. Scientific Data. 5(1). 180190–180190. 26 indexed citations

10.

Li, Liling, et al.. (2017). A distributed pipeline for DIDSON data processing. 4301–4306. 5 indexed citations

11.

Jo, Taeho, Jie Hou, Jesse Eickholt, & Jianlin Cheng. (2015). Improving Protein Fold Recognition by Deep Learning Networks. Scientific Reports. 5(1). 17573–17573. 88 indexed citations

12.

Eickholt, Jesse, et al.. (2015). Characterizing the Discussion of Antibiotics in the Twittersphere: What is the Bigger Picture?. Journal of Medical Internet Research. 17(6). e154–e154. 26 indexed citations

13.

Eickholt, Jesse & Zheng Wang. (2014). PCP-ML: Protein characterization package for machine learning. BMC Research Notes. 7(1). 810–810. 1 indexed citations

14.

Eickholt, Jesse & Jianlin Cheng. (2013). DNdisorder: predicting protein disorder using boosting and deep networks. BMC Bioinformatics. 14(1). 88–88. 72 indexed citations

15.

Li, Jilong, Xin Deng, Jesse Eickholt, & Jianlin Cheng. (2013). Designing and benchmarking the MULTICOM protein structure prediction system. BMC Structural Biology. 13(1). 2–2. 24 indexed citations

16.

Deng, Xin, Jesse Eickholt, & Jianlin Cheng. (2011). A comprehensive overview of computational protein disorder prediction methods. Molecular BioSystems. 8(1). 114–121. 88 indexed citations

17.

Eickholt, Jesse, Xin Deng, & Jianlin Cheng. (2011). DoBo: Protein domain boundary prediction by integrating evolutionary signals and machine learning. BMC Bioinformatics. 12(1). 43–43. 47 indexed citations

18.

Eickholt, Jesse, Zheng Wang, & Jianlin Cheng. (2011). A conformation ensemble approach to protein residue-residue contact. BMC Structural Biology. 11(1). 38–38. 15 indexed citations

19.

Deng, Xin, Jesse Eickholt, & Jianlin Cheng. (2009). PreDisorder: ab initio sequence-based prediction of protein disordered regions. BMC Bioinformatics. 10(1). 436–436. 85 indexed citations

20.

Tegge, Allison N., Zhili Wang, Jesse Eickholt, & Jianlin Cheng. (2009). NNcon: improved protein contact map prediction using 2D-recursive neural networks. Nucleic Acids Research. 37(Web Server). W515–W518. 104 indexed citations

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.

Explore authors with similar magnitude of impact