John Wooley

6.5k total citations
63 papers, 2.9k citations indexed

About

John Wooley is a scholar working on Molecular Biology, Ecology and Materials Chemistry. According to data from OpenAlex, John Wooley has authored 63 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Molecular Biology, 11 papers in Ecology and 7 papers in Materials Chemistry. Recurrent topics in John Wooley's work include Genomics and Phylogenetic Studies (25 papers), Genetics, Bioinformatics, and Biomedical Research (15 papers) and Bioinformatics and Genomic Networks (12 papers). John Wooley is often cited by papers focused on Genomics and Phylogenetic Studies (25 papers), Genetics, Bioinformatics, and Biomedical Research (15 papers) and Bioinformatics and Genomic Networks (12 papers). John Wooley collaborates with scholars based in United States, United Kingdom and Germany. John Wooley's co-authors include Adam Godzik, Iddo Friedberg, Weizhong Li, Songlin Wu, Bing Niu, Li‐Chen Fu, Yuzhen Ye, J. F. Pardon, B. M. Richards and Wallace M. LeStourgeon and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

John Wooley

60 papers receiving 2.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John Wooley United States 24 2.3k 580 202 202 157 63 2.9k
Min-Yen Chang Taiwan 5 2.7k 1.2× 303 0.5× 282 1.4× 384 1.9× 648 4.1× 8 3.9k
Manju Bansal India 36 3.6k 1.6× 417 0.7× 411 2.0× 333 1.6× 343 2.2× 131 4.7k
Ashkan Golshani Canada 30 2.8k 1.2× 365 0.6× 81 0.4× 540 2.7× 189 1.2× 139 4.1k
Paul M. K. Gordon Canada 25 1.3k 0.6× 414 0.7× 85 0.4× 202 1.0× 294 1.9× 70 2.4k
Finn Drabløs Norway 31 2.7k 1.2× 228 0.4× 105 0.5× 253 1.3× 450 2.9× 90 3.9k
Jan Šmarda Czechia 28 1.1k 0.5× 419 0.7× 84 0.4× 120 0.6× 246 1.6× 162 2.5k
Jaap J. van Hellemond Netherlands 39 2.2k 1.0× 916 1.6× 76 0.4× 275 1.4× 120 0.8× 124 4.8k
Kildare Miranda Brazil 35 1.7k 0.7× 181 0.3× 168 0.8× 375 1.9× 108 0.7× 118 3.9k
Aysam Guerler Germany 10 2.6k 1.1× 541 0.9× 98 0.5× 582 2.9× 450 2.9× 14 4.1k
Yuxing Chen China 30 1.6k 0.7× 316 0.5× 238 1.2× 224 1.1× 186 1.2× 153 2.7k

Countries citing papers authored by John Wooley

Since Specialization
Citations

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

Fields of papers citing papers by John Wooley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Wooley

This figure shows the co-authorship network connecting the top 25 collaborators of John Wooley. A scholar is included among the top collaborators of John Wooley 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 John Wooley. John Wooley 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.
Robbins, Robert, Leonard Krishtalka, & John Wooley. (2016). Advances in biodiversity: metagenomics and the unveiling of biological dark matter. Standards in Genomic Sciences. 11(1). 69–69. 18 indexed citations
2.
Deck, John, Katharine Barker, Reed S. Beaman, et al.. (2013). Clarifying Concepts and Terms in Biodiversity Informatics. Standards in Genomic Sciences. 8(2). 352–359. 11 indexed citations
3.
Robbins, Robert, Guy Cochrane, Neil Davies, et al.. (2012). RCN4GSC Workshop Report: Modeling a Testbed for Managing Data at the Interface of Biodiversity and (Meta)Genomics, April 2011. Standards in Genomic Sciences. 7(1). 153–158.
4.
Robbins, Robert, Linda Amaral‐Zettler, Holly M. Bik, et al.. (2012). RCN4GSC Workshop Report: Managing Data at the Interface of Biodiversity and (Meta)Genomics, March 2011. Standards in Genomic Sciences. 7(1). 159–165. 3 indexed citations
5.
Cai, Xiaohui, Lukasz Jaroszewski, John Wooley, & Adam Godzik. (2011). Internal organization of large protein families: Relationship between the sequence, structure, and function‐based clustering. Proteins Structure Function and Bioinformatics. 79(8). 2389–2402. 5 indexed citations
6.
D’Osualdo, Andrea, Christian X. Weichenberger, Roland N. Wagner, et al.. (2011). CARD8 and NLRP1 Undergo Autoproteolytic Processing through a ZU5-Like Domain. PLoS ONE. 6(11). e27396–e27396. 165 indexed citations
7.
Ellrott, Kyle, Christian M. Zmasek, Daniel Weekes, et al.. (2010). TOPSAN: a dynamic web database for structural genomics. Nucleic Acids Research. 39(Database). D494–D496. 16 indexed citations
8.
Weekes, Dana, Sanjeev Krishna, Constantina Bakolitsa, et al.. (2010). TOPSAN: a collaborative annotation environment for structural genomics. BMC Bioinformatics. 11(1). 426–426. 13 indexed citations
9.
Haynes, Winston, Roger Higdon, Natali Kolker, et al.. (2010). The United States of America and Scientific Research. PLoS ONE. 5(8). e12203–e12203. 45 indexed citations
10.
Wooley, John, Adam Godzik, & Iddo Friedberg. (2010). A Primer on Metagenomics. PLoS Computational Biology. 6(2). e1000667–e1000667. 414 indexed citations
11.
Krishna, Sanjeev, Dana Weekes, Constantina Bakolitsa, et al.. (2010). TOPSAN: use of a collaborative environment for annotating, analyzing and disseminating data on JCSG and PSI structures. Acta Crystallographica Section F Structural Biology and Crystallization Communications. 66(10). 1143–1147. 8 indexed citations
12.
Sun, Sheng, Jiefu Chen, Weizhong Li, et al.. (2010). Community cyberinfrastructure for Advanced Microbial Ecology Research and Analysis: the CAMERA resource. Nucleic Acids Research. 39(Database). D546–D551. 241 indexed citations
13.
Ellrott, Kyle, Lukasz Jaroszewski, Weizhong Li, John Wooley, & Adam Godzik. (2010). Expansion of the Protein Repertoire in Newly Explored Environments: Human Gut Microbiome Specific Protein Families. PLoS Computational Biology. 6(6). e1000798–e1000798. 58 indexed citations
14.
Zhang, Ying, Ines Thiele, Dana Weekes, et al.. (2009). Three-Dimensional Structural View of the Central Metabolic Network of Thermotoga maritima. Science. 325(5947). 1544–1549. 146 indexed citations
15.
Jaroszewski, Lukasz, Zhanwen Li, Sanjeev Krishna, et al.. (2009). Exploration of Uncharted Regions of the Protein Universe. PLoS Biology. 7(9). e1000205–e1000205. 100 indexed citations
16.
Li, Weizhong, John Wooley, & Adam Godzik. (2008). Probing Metagenomics by Rapid Cluster Analysis of Very Large Datasets. PLoS ONE. 3(10). e3375–e3375. 28 indexed citations
17.
Wooley, John. (1999). Trends in computational biology.. 16(2). 331–4. 2 indexed citations
18.
Wooley, John & M. Varma. (1994). Computational Biology Opportunity and Challenges for the Future. PubMed. 63. 1–9. 1 indexed citations
19.
Wooley, John, et al.. (1986). Set of novel, conserved proteins fold pre‐messenger RNA into ribonucleosomes. Proteins Structure Function and Bioinformatics. 1(3). 195–210. 83 indexed citations
20.
Richards, B. M., et al.. (1978). Nucleosome sub-structure during transcription and replication. Philosophical transactions of the Royal Society of London. Series B, Biological sciences. 283(997). 287–289. 5 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.

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