Joe Meehan

3.1k total citations
15 papers, 262 citations indexed

About

Joe Meehan is a scholar working on Molecular Biology, Ecology and Computer Networks and Communications. According to data from OpenAlex, Joe Meehan has authored 15 papers receiving a total of 262 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Ecology and 2 papers in Computer Networks and Communications. Recurrent topics in Joe Meehan's work include Genomics and Rare Diseases (2 papers), Genetic Associations and Epidemiology (2 papers) and Molecular Biology Techniques and Applications (2 papers). Joe Meehan is often cited by papers focused on Genomics and Rare Diseases (2 papers), Genetic Associations and Epidemiology (2 papers) and Molecular Biology Techniques and Applications (2 papers). Joe Meehan collaborates with scholars based in United States, Taiwan and Netherlands. Joe Meehan's co-authors include Weida Tong, Huixiao Hong, Joshua Xu, Hong Fang, Weigong Ge, Roger Perkins, Zhenqiang Su, Wenqian Zhang, Marina Bessarabova and Wenwei Zhang and has published in prestigious journals such as PLoS ONE, Genome biology and Environment International.

In The Last Decade

Joe Meehan

13 papers receiving 254 citations

Peers

Joe Meehan
Giacomo Baruzzo Italy
Weiwei Duan China
Viswateja Nelakuditi United States
Anna‐Kaarina Järvinen Finland
Yihong Guan United States
Nilesh Kumar India
Doug Bowman United States
Timothy Wilkes United Kingdom
Giacomo Baruzzo Italy
Joe Meehan
Citations per year, relative to Joe Meehan Joe Meehan (= 1×) peers Giacomo Baruzzo

Countries citing papers authored by Joe Meehan

Since Specialization
Citations

This map shows the geographic impact of Joe Meehan'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 Joe Meehan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joe Meehan more than expected).

Fields of papers citing papers by Joe Meehan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joe Meehan. 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 Joe Meehan. The network helps show where Joe Meehan may publish in the future.

Co-authorship network of co-authors of Joe Meehan

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

All Works

15 of 15 papers shown
1.
Meehan, Joe, et al.. (2020). DLI-IT: a deep learning approach to drug label identification through image and text embedding. BMC Medical Informatics and Decision Making. 20(1). 14 indexed citations
2.
Robinson, John P., et al.. (2019). Water desalination using a temperature gradient. Desalination. 464. 1–7. 11 indexed citations
3.
Ye, Hao, Heng Luo, Hui Wen Ng, et al.. (2016). Applying network analysis and Nebula (neighbor-edges based and unbiased leverage algorithm) to ToxCast data. Environment International. 89-90. 81–92. 6 indexed citations
4.
Ye, Hao, Joe Meehan, Weida Tong, & Huixiao Hong. (2015). Alignment of Short Reads: A Crucial Step for Application of Next-Generation Sequencing Data in Precision Medicine. Pharmaceutics. 7(4). 523–541. 22 indexed citations
5.
Meehan, Joe, Hui Wen Ng, Roger Perkins, et al.. (2014). Quality control metrics improve repeatability and reproducibility of single-nucleotide variants derived from whole-genome sequencing. The Pharmacogenomics Journal. 15(4). 298–309. 7 indexed citations
6.
Su, Zhenqiang, Hong Fang, Huixiao Hong, et al.. (2014). An investigation of biomarkers derived from legacy microarray data for their utility in the RNA-seq era. Genome biology. 15(12). 523–523. 119 indexed citations
7.
Meehan, Joe, Zhenqiang Su, Hui Wen Ng, et al.. (2014). Whole genome sequencing of 35 individuals provides insights into the genetic architecture of Korean population. BMC Bioinformatics. 15(S11). S6–S6. 24 indexed citations
8.
Zou, Wen, Hung-Chia Chen, Kelley Hise, et al.. (2013). Meta-Analysis of Pulsed-Field Gel Electrophoresis Fingerprints Based on a Constructed Salmonella Database. PLoS ONE. 8(3). e59224–e59224. 18 indexed citations
9.
Zou, Wen, Hailin Tang, Weizhong Zhao, et al.. (2013). Data mining tools for Salmonella characterization: application to gel-based fingerprinting analysis. BMC Bioinformatics. 14(S14). S15–S15. 18 indexed citations
10.
Meehan, Joe & Alan Ritter. (2006). Machine Learning Approach to Tuning Distributed Operating System Load Balancing Algorithms.. 122–127. 1 indexed citations
11.
Meehan, Joe, et al.. (2006). Load Balancing Experiments in openMOSIX.. Computers and Their Applications. 314–319. 4 indexed citations
12.
Tollefson, Troy N., et al.. (2005). RESEARCH NOTES: QUANTIFYING SPATIOTEMPORAL OVERLAP OF ALASKAN BROWN BEARS AND PEOPLE. Journal of Wildlife Management. 69(2). 810–817. 13 indexed citations
13.
Meehan, Joe, et al.. (2002). Requirements and capabilities of modern fishery research ships. 1. 29–36. 1 indexed citations
14.
Meehan, Joe, et al.. (2002). Fisheries Research Vessel hydrodynamic design minimizing bubble sweepdown. 2. 1212–1223. 4 indexed citations
15.
Berghel, Hal, David Roach, Gary Green, & Joe Meehan. (1991). An expert system for determining government relocation allowances. Expert Systems with Applications. 2(2-3). 167–174.

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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