Michelle Giglio

29.0k total citations · 3 hit papers
21 papers, 1.7k citations indexed

About

Michelle Giglio is a scholar working on Molecular Biology, Artificial Intelligence and Ecology. According to data from OpenAlex, Michelle Giglio has authored 21 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 4 papers in Artificial Intelligence and 2 papers in Ecology. Recurrent topics in Michelle Giglio's work include Biomedical Text Mining and Ontologies (12 papers), Bioinformatics and Genomic Networks (12 papers) and Genomics and Phylogenetic Studies (7 papers). Michelle Giglio is often cited by papers focused on Biomedical Text Mining and Ontologies (12 papers), Bioinformatics and Genomic Networks (12 papers) and Genomics and Phylogenetic Studies (7 papers). Michelle Giglio collaborates with scholars based in United States, United Kingdom and Switzerland. Michelle Giglio's co-authors include Owen White, Joshua Orvis, Anup Mahurkar, Heather H. Creasy, Carrie McCracken, Jonathan Crabtree, Ali Rahnavard, Rob Knight, Arthur Brady and Jason Lloyd‐Price and has published in prestigious journals such as Nature, Nucleic Acids Research and SHILAP Revista de lepidopterología.

In The Last Decade

Michelle Giglio

21 papers receiving 1.7k citations

Hit Papers

Strains, functions and dy... 2017 2026 2020 2023 2017 2018 2021 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michelle Giglio United States 14 1.3k 181 168 150 146 21 1.7k
Aleksandra Tarkowska United Kingdom 8 1.3k 1.0× 104 0.6× 165 1.0× 259 1.7× 152 1.0× 9 2.0k
Mina Rho South Korea 21 1.3k 1.0× 159 0.9× 150 0.9× 471 3.1× 122 0.8× 51 2.2k
Wen‐Chi Chou United States 17 934 0.7× 110 0.6× 183 1.1× 56 0.4× 68 0.5× 26 1.4k
Carrie McCracken United States 15 865 0.7× 157 0.9× 269 1.6× 149 1.0× 157 1.1× 23 1.4k
Ilaria Mogno United States 14 2.0k 1.6× 420 2.3× 260 1.5× 153 1.0× 84 0.6× 21 2.5k
Yinhu Li China 18 1.1k 0.9× 263 1.5× 186 1.1× 170 1.1× 337 2.3× 55 2.0k
Juan Jovel Canada 21 1.1k 0.8× 200 1.1× 284 1.7× 176 1.2× 172 1.2× 42 2.0k
Claudia Sala Italy 17 861 0.7× 129 0.7× 67 0.4× 73 0.5× 206 1.4× 54 1.4k
Thidathip Wongsurawat Thailand 22 1.0k 0.8× 149 0.8× 142 0.8× 142 0.9× 60 0.4× 112 1.7k
Jennifer R. Smith United States 23 1.1k 0.8× 274 1.5× 395 2.4× 44 0.3× 84 0.6× 66 2.1k

Countries citing papers authored by Michelle Giglio

Since Specialization
Citations

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

Fields of papers citing papers by Michelle Giglio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michelle Giglio

This figure shows the co-authorship network connecting the top 25 collaborators of Michelle Giglio. A scholar is included among the top collaborators of Michelle Giglio 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 Michelle Giglio. Michelle Giglio 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.
Simpson, Andrew, James B. Munro, Suvarna Nadendla, et al.. (2021). ECO-CollecTF: A Corpus of Annotated Evidence-Based Assertions in Biomedical Manuscripts. SHILAP Revista de lepidopterología. 6. 674205–674205. 3 indexed citations
2.
Schriml, Lynn M., James B. Munro, Dustin Olley, et al.. (2021). The Human Disease Ontology 2022 update. Nucleic Acids Research. 50(D1). D1255–D1261. 164 indexed citations breakdown →
3.
Nadendla, Suvarna, Rebecca Jackson, James B. Munro, et al.. (2021). ECO: the Evidence and Conclusion Ontology, an update for 2022. Nucleic Acids Research. 50(D1). D1515–D1521. 19 indexed citations
4.
Baker, Jennifer M., Suvarna Nadendla, Michelle Giglio, et al.. (2020). Analysis of the Complete Genome of the Alkaliphilic and Phototrophic Firmicute Heliorestis convoluta Strain HHT. Microorganisms. 8(3). 313–313. 8 indexed citations
5.
Siegele, Deborah A., et al.. (2019). Phenotype annotation with the ontology of microbial phenotypes (OMP). Journal of Biomedical Semantics. 10(1). 13–13. 7 indexed citations
6.
Mahurkar, Anup, Jonathan Crabtree, Suvarna Nadendla, et al.. (2018). NIH Data Commons Pilot Phase Consortium (DCPPC) Crosscut Metadata Model: a generalized model to represent genomic datasets in the Commons. Faculty of 1000 Research Ltd. 7. 1 indexed citations
7.
Giglio, Michelle, Suvarna Nadendla, James B. Munro, et al.. (2018). ECO, the Evidence & Conclusion Ontology: community standard for evidence information. Nucleic Acids Research. 47(D1). D1186–D1194. 44 indexed citations
8.
Sánchez‐Cañizares, Carmen, Beatriz Jorrín, David Durán, et al.. (2018). Genomic Diversity in the Endosymbiotic Bacterium Rhizobium leguminosarum. Genes. 9(2). 60–60. 24 indexed citations
9.
Schriml, Lynn M., Elvira Mitraka, James B. Munro, et al.. (2018). Human Disease Ontology 2018 update: classification, content and workflow expansion. Nucleic Acids Research. 47(D1). D955–D962. 289 indexed citations breakdown →
10.
Lloyd‐Price, Jason, Anup Mahurkar, Ali Rahnavard, et al.. (2017). Strains, functions and dynamics in the expanded Human Microbiome Project. Nature. 550(7674). 61–66. 804 indexed citations breakdown →
11.
Chibucos, Marcus C., et al.. (2016). The Evidence and Conclusion Ontology (ECO): Supporting GO Annotations. In Dessimoz, C. and Škunca, N (eds.), "The Gene Ontology Handbook".. 1446. 13 indexed citations
12.
Chibucos, Marcus C., Deborah A. Siegele, James C. Hu, & Michelle Giglio. (2016). The Evidence and Conclusion Ontology (ECO): Supporting GO Annotations. Methods in molecular biology. 1446. 245–259. 18 indexed citations
13.
Bastian, Frederic, Marcus C. Chibucos, Pascale Gaudet, et al.. (2015). The Confidence Information Ontology: a step towards a standard for asserting confidence in annotations. Database. 2015(0). bav043–bav043. 52 indexed citations
14.
Chibucos, Marcus C., Chris Mungall, Rama Balakrishnan, et al.. (2014). Standardized description of scientific evidence using the Evidence Ontology (ECO). Database. 2014(0). bau075–bau075. 71 indexed citations
15.
Chibucos, Marcus C., et al.. (2014). An ontology for microbial phenotypes. BMC Microbiology. 14(1). 294–294. 27 indexed citations
16.
Fischer, Anne, Michelle Giglio, Suvarna Nadendla, et al.. (2013). Genome Sequence of Mycoplasma feriruminatoris sp. nov., a Fast-Growing Mycoplasma Species. Genome Announcements. 1(1). 10 indexed citations
17.
Galens, Kevin, Joshua Orvis, Sean C. Daugherty, et al.. (2011). The IGS Standard Operating Procedure for Automated Prokaryotic Annotation. Standards in Genomic Sciences. 4(2). 244–251. 106 indexed citations
18.
Wortman, Jennifer R., Michelle Giglio, Heather H. Creasy, et al.. (2010). A data analysis and coordination center for the human microbiome project. Genome Biology. 11(Suppl 1). O13–O13. 7 indexed citations
19.
Giglio, Michelle, Candace Whitmer Collmer, Jane Lomax, & Amelia Ireland. (2009). Applying the Gene Ontology in microbial annotation. Trends in Microbiology. 17(7). 262–268. 15 indexed citations
20.
Hu, Zhang-Zhi, Kevin Bretonnel Cohen, Lynette Hirschman, et al.. (2008). iProLINK: A Framework for Linking Text Mining with Ontology and Systems Biology. 1857. 467–472. 2 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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