Bill Andreopoulos

2.5k citations
32 papers · 1.8k · 1 hit paper · h-index 17

Impact in

Papers in

    • Fungal and yeast genetics research 8
    • Bioinformatics and Genomic Networks 4
    • Genomics and Phylogenetic Studies 4
    • Biomedical Text Mining and Ontologies 3
    • Plant Pathogens and Fungal Diseases 5

Bill Andreopoulos

32 papers receiving 1.8k citations

Bill Andreopoulos's Hit Papers

Large-scale genome sequencing of mycorrhizal fungi provides insights into the early evolution of symbiotic traits 2020 · 374 citations
3740+2+4Years since publication100200300

Peers

Bill Andreopoulos
Comparison fields: 5 of 111
  • Cell Biology 259
  • Plant Science 474
  • Molecular Biology 669
  • Ecology 190
  • Pollution 58
Replace Michael W. Sneddon with:
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Bill Andreopoulos, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Bill Andreopoulos Line = papers co-authored together Bill Andreopoulos links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Large-scale genome sequencing of mycorrhizal fungi provides insights into the early evolution of symbiotic traits
Hit paper breakdown →
2020374
2 2017271
3 2008176
4 2020175
5 2020166
6 2008100
7 201892
8 201958
9 202144
10 202331
11 200628
12 200726
13 200925
14 202222
15 200820
16 201219
17 200618
18 200717
19 201917
20 202317

About Bill Andreopoulos

Bill Andreopoulos is a scholar working on Molecular Biology, Cell Biology, Artificial Intelligence, Plant Science and Information Systems, having authored 32 papers that have together received 1.8k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (8 papers), Advanced Clustering Algorithms Research (6 papers), Plant Pathogens and Fungal Diseases (5 papers), Bioinformatics and Genomic Networks (4 papers), Genomics and Phylogenetic Studies (4 papers), Mycorrhizal Fungi and Plant Interactions (4 papers), Biomedical Text Mining and Ontologies (3 papers) and Software Engineering Research (3 papers). The work is most often cited by research in Cell Biology (259 citations), Plant Science (474 citations), Molecular Biology (669 citations), Ecology (190 citations) and Pollution (58 citations). Bill Andreopoulos has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Michael D. Schroeder, Aijun An, Löıc A. Royer, Matthew B. Sullivan, Ahmed A. Zayed, Tijana Glavina del Rio, Natalie Solonenko, Heather M. Brewer, Cristina Howard‐Varona and Ho Bin Jang. Their work appears in journals such as BMC Bioinformatics, Nature Microbiology, New Phytologist, Applied Microbiology and Biotechnology and Nature Communications.

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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