Bill Andreopoulos

2.1k total citations
20 papers, 596 citations indexed

About

Bill Andreopoulos is a scholar working on Molecular Biology, Artificial Intelligence and Plant Science. According to data from OpenAlex, Bill Andreopoulos has authored 20 papers receiving a total of 596 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 8 papers in Artificial Intelligence and 5 papers in Plant Science. Recurrent topics in Bill Andreopoulos's work include Bioinformatics and Genomic Networks (7 papers), Advanced Clustering Algorithms Research (4 papers) and Gene expression and cancer classification (4 papers). Bill Andreopoulos is often cited by papers focused on Bioinformatics and Genomic Networks (7 papers), Advanced Clustering Algorithms Research (4 papers) and Gene expression and cancer classification (4 papers). Bill Andreopoulos collaborates with scholars based in United States, Canada and Germany. Bill Andreopoulos's co-authors include Michael Schroeder, Löıc A. Royer, Xiaogang Wang, Aijun An, Natalie Solonenko, Cristina Howard‐Varona, Doina Ciobanu, Jan‐Fang Cheng, Heather M. Brewer and Ho Bin Jang and has published in prestigious journals such as Bioinformatics, Applied Microbiology and Biotechnology and The ISME Journal.

In The Last Decade

Bill Andreopoulos

19 papers receiving 587 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bill Andreopoulos United States 12 348 200 122 98 42 20 596
Sanchit Misra United States 14 423 1.2× 87 0.4× 161 1.3× 246 2.5× 40 1.0× 41 1.0k
Gianluca Della Vedova Italy 15 526 1.5× 70 0.3× 102 0.8× 214 2.2× 15 0.4× 68 801
Patrick Flick United States 7 488 1.4× 67 0.3× 226 1.9× 53 0.5× 8 0.2× 13 848
Gilles Caraux France 8 360 1.0× 83 0.4× 121 1.0× 46 0.5× 14 0.3× 14 831
Niina Haiminen United States 14 364 1.0× 72 0.4× 82 0.7× 65 0.7× 32 0.8× 40 637
Nikolas Papanikolaou Greece 10 379 1.1× 97 0.5× 35 0.3× 31 0.3× 5 0.1× 14 530
Heladia Salgado Mexico 21 2.2k 6.4× 332 1.7× 176 1.4× 64 0.7× 7 0.2× 39 2.6k
Gang Fu China 14 240 0.7× 28 0.1× 342 2.8× 92 0.9× 22 0.5× 58 643
Leena Salmela Finland 12 751 2.2× 127 0.6× 280 2.3× 200 2.0× 31 0.7× 35 1.1k
Alix Boc Canada 6 281 0.8× 95 0.5× 107 0.9× 22 0.2× 15 0.4× 8 513

Countries citing papers authored by Bill Andreopoulos

Since Specialization
Citations

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

Fields of papers citing papers by Bill Andreopoulos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bill Andreopoulos

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

All Works

20 of 20 papers shown
1.
Howard‐Varona, Cristina, Natalie Solonenko, Ahmed A. Zayed, et al.. (2020). Phage-specific metabolic reprogramming of virocells. The ISME Journal. 14(4). 881–895. 142 indexed citations
2.
Park, Hongjae, Byoungnam Min, Yeongseon Jang, et al.. (2019). Comprehensive genomic and transcriptomic analysis of polycyclic aromatic hydrocarbon degradation by a mycoremediation fungus, Dentipellis sp. KUC8613. Applied Microbiology and Biotechnology. 103(19). 8145–8155. 43 indexed citations
3.
Peng, Mao, Paul Daly, Bill Andreopoulos, et al.. (2019). Draft Genome Sequences of Three Monokaryotic Isolates of the White-Rot Basidiomycete Fungus Dichomitus squalens. Microbiology Resource Announcements. 8(18). 14 indexed citations
4.
Ahrendt, Steven, C. Alisha Quandt, Doina Ciobanu, et al.. (2018). Leveraging single-cell genomics to expand the fungal tree of life. Nature Microbiology. 3(12). 1417–1428. 81 indexed citations
5.
Andreopoulos, Bill, et al.. (2016). Optimization of I/O Intensive Genome Assemblies on the Cori Supercomputer with Burst Buffer. 554–561. 1 indexed citations
6.
Singer, Esther, Bill Andreopoulos, Robert M. Bowers, et al.. (2016). Next generation sequencing data of a defined microbial mock community. Scientific Data. 3(1). 160081–160081. 74 indexed citations
7.
Andreopoulos, Bill & Dimitris Anastassiou. (2012). Integrated Analysis Reveals hsa-miR-142 as a Representative of a Lymphocyte-Specific Gene Expression and Methylation Signature. Cancer Informatics. 11. CIN.S9037–CIN.S9037. 20 indexed citations
8.
Andreopoulos, Bill & Dirk Labudde. (2011). Efficient unfolding pattern recognition in single molecule force spectroscopy data. Algorithms for Molecular Biology. 6(1). 16–16. 9 indexed citations
9.
Andreopoulos, Bill, Christof Winter, Dirk Labudde, & Michael Schroeder. (2009). Triangle network motifs predict complexes by complementing high-error interactomes with structural information. BMC Bioinformatics. 10(1). 196–196. 5 indexed citations
10.
Alexopoulou, Dimitra, Bill Andreopoulos, Andreas Doms, et al.. (2009). Biomedical word sense disambiguation with ontologies and metadata: automation meets accuracy. BMC Bioinformatics. 10(1). 28–28. 26 indexed citations
11.
Andreopoulos, Bill, Dimitra Alexopoulou, & Michael Schroeder. (2008). Word Sense Disambiguation in biomedical ontologies with term co-occurrence analysis and document clustering. International Journal of Data Mining and Bioinformatics. 2(3). 193–193. 13 indexed citations
12.
Andreopoulos, Bill, Aijun An, Xiaogang Wang, & Dirk Labudde. (2008). Efficient layered density-based clustering of categorical data. Journal of Biomedical Informatics. 42(2). 365–376. 5 indexed citations
13.
Royer, Löıc A., et al.. (2008). Unraveling Protein Networks with Power Graph Analysis. PLoS Computational Biology. 4(7). e1000108–e1000108. 85 indexed citations
14.
Andreopoulos, Bill, Aijun An, Xiaogang Wang, Michalis Faloutsos, & Michael Schroeder. (2007). Clustering by common friends finds locally significant proteins mediating modules. Bioinformatics. 23(9). 1124–1131. 21 indexed citations
15.
Andreopoulos, Bill, Aijun An, Jimmy Xiangji Huang, & Xiaogang Wang. (2006). Finding molecular complexes through multiple layer clustering of protein interaction networks. International Journal of Bioinformatics Research and Applications. 3(1). 65–65. 5 indexed citations
16.
Andreopoulos, Bill, Aijun An, & Xiaogang Wang. (2006). Bi-level clustering of mixed categorical and numerical biomedical data. International Journal of Data Mining and Bioinformatics. 1(1). 19–19. 16 indexed citations
17.
Andreopoulos, Bill, Aijun An, Vassilios Tzerpos, & Xiaogang Wang. (2006). Clustering large software systems at multiple layers. Information and Software Technology. 49(3). 244–254. 24 indexed citations
18.
Andreopoulos, Bill, Aijun An, & Xiaogang Wang. (2005). Clustering mixed numerical and low quality categorical data. 87–98. 5 indexed citations
19.
20.
Andreopoulos, Bill. (2003). Gene Expression Specification.

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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