Michael Cornell

5.2k total citations · 1 hit paper
16 papers, 2.7k citations indexed

About

Michael Cornell is a scholar working on Molecular Biology, Infectious Diseases and Pharmacology. According to data from OpenAlex, Michael Cornell has authored 16 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 1 paper in Infectious Diseases and 1 paper in Pharmacology. Recurrent topics in Michael Cornell's work include Fungal and yeast genetics research (5 papers), Bioinformatics and Genomic Networks (4 papers) and Gene expression and cancer classification (4 papers). Michael Cornell is often cited by papers focused on Fungal and yeast genetics research (5 papers), Bioinformatics and Genomic Networks (4 papers) and Gene expression and cancer classification (4 papers). Michael Cornell collaborates with scholars based in United Kingdom, United States and Greece. Michael Cornell's co-authors include Stephen G. Oliver, Peer Bork, Roland Krause, Stanley Fields, ‎Berend Snel, Christian von Mering, Intikhab Álam, Brice Enjalbert, Janet Quinn and Susan M. Nicholls and has published in prestigious journals such as Nature, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Michael Cornell

15 papers receiving 2.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Comparative assessment of large-scale data sets of protein–protein interactions

2002 1.7k citations Christian von Mering, Roland Krause et al. Nature profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael Cornell United Kingdom	12	2.2k	347	267	240	198	16	2.7k
Roland Krause Germany	16	2.0k 0.9×	391 1.1×	144 0.5×	135 0.6×	211 1.1×	30	2.6k
Ashton Breitkreutz Canada	15	2.8k 1.3×	338 1.0×	513 1.9×	87 0.4×	104 0.5×	15	3.4k
Tomoko Chiba Japan	10	3.3k 1.5×	483 1.4×	520 1.9×	120 0.5×	132 0.7×	25	3.7k
C. Stark Canada	6	3.6k 1.6×	684 2.0×	340 1.3×	53 0.2×	249 1.3×	7	4.3k
Jennifer Rust United States	9	3.4k 1.6×	641 1.8×	323 1.2×	113 0.5×	52 0.3×	11	4.1k
Michael Livstone United States	9	2.2k 1.0×	380 1.1×	175 0.7×	50 0.2×	83 0.4×	10	2.8k
Chris Stark Canada	10	4.4k 2.0×	630 1.8×	577 2.2×	116 0.5×	91 0.5×	12	5.1k
Rose Oughtred United States	18	4.8k 2.1×	884 2.5×	401 1.5×	123 0.5×	119 0.6×	24	5.6k
Lorrie Boucher Canada	15	5.0k 2.2×	805 2.3×	582 2.2×	132 0.6×	139 0.7×	19	5.8k
Teresa Reguly Canada	7	2.6k 1.2×	445 1.3×	261 1.0×	36 0.1×	121 0.6×	8	2.9k

Countries citing papers authored by Michael Cornell

Since Specialization

Citations

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

Fields of papers citing papers by Michael Cornell

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Cornell

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

All Works

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16 of 16 papers shown

Cornell, Michael, et al.. (2022). Reimagining Education. Current Issues in Comparative Education. 24(2). 1 indexed citations

Cornell, Michael. (2020). Conceptual Research in Theoretical Studies: Intersections of Human Education and Curriculum. SHILAP Revista de lepidopterología. 35(1). 1 indexed citations

Fokkema, Ivo F.A.C., Tomasz Adamusiak, Christophe Béroud, et al.. (2012). VarioML framework for comprehensive variation data representation and exchange. BMC Bioinformatics. 13(1). 254–254. 13 indexed citations

Hedeler, Cornelia, Han Hsi Wong, Michael Cornell, et al.. (2007). e-Fungi: a data resource for comparative analysis of fungal genomes. BMC Genomics. 8(1). 426–426. 29 indexed citations

Cornell, Michael, Intikhab Álam, Darren M. Soanes, et al.. (2007). Comparative genome analysis across a kingdom of eukaryotic organisms: Specialization and diversification in the Fungi. Genome Research. 17(12). 1809–1822. 76 indexed citations

Enjalbert, Brice, Deborah A. Smith, Michael Cornell, et al.. (2005). Role of the Hog1 Stress-activated Protein Kinase in the Global Transcriptional Response to Stress in the Fungal PathogenCandida albicans. Molecular Biology of the Cell. 17(2). 1018–1032. 311 indexed citations

Wilkin, Marian B., Maggy Fostier, Sabine Mazaleyrat, et al.. (2004). Regulation of Notch Endosomal Sorting and Signaling by Drosophila Nedd4 Family Proteins. Current Biology. 14(24). 2237–2244. 170 indexed citations

Cornell, Michael, Norman W. Paton, & Stephen G. Oliver. (2004). A critical and integrated view of the yeast interactome. Comparative and Functional Genomics. 5(5). 382–402. 13 indexed citations

Mazaleyrat, Sabine, Maggy Fostier, Marian B. Wilkin, et al.. (2003). Down-regulation of notch target gene expression by suppressor of deltex. Developmental Biology. 255(2). 363–372. 38 indexed citations

10.

Cornell, Michael, Norman W. Paton, Cornelia Hedeler, et al.. (2003). GIMS: an integrated data storage and analysis environment for genomic and functional data. Yeast. 20(15). 1291–1306. 27 indexed citations

11.

Mering, Christian von, Roland Krause, ‎Berend Snel, et al.. (2002). Comparative assessment of large-scale data sets of protein–protein interactions. Nature. 417(6887). 399–403. 1713 indexed citations breakdown →

12.

Cornell, Michael, Norman W. Paton, Carole Goble, et al.. (2001). GIMS - a data warehouse for storage and analysis of genome sequence and functional data. Proc. 2nd Annual IEEE International Symposium on Bioinformatics and Bioengineering. Research Explorer (The University of Manchester). 3 indexed citations

13.

Cornell, Michael, Norman W. Paton, Carole Goble, et al.. (2001). GIMS-a data warehouse for storage and analysis of genome sequence and functional data. 15–22. 20 indexed citations

14.

Cornell, Michael, D.A.P. Evans, Robert S. Mann, et al.. (1999). The Drosophila melanogaster Suppressor of deltex Gene, a Regulator of the Notch Receptor Signaling Pathway, Is an E3 Class Ubiquitin Ligase. Genetics. 152(2). 567–576. 132 indexed citations

15.

Cornell, Michael, Tracy Ann Williams, Nazarius S. Lamango, et al.. (1995). Cloning and Expression of an Evolutionary Conserved Single-domain Angiotensin Converting Enzyme from Drosophila melanogaster. Journal of Biological Chemistry. 270(23). 13613–13619. 134 indexed citations

16.

Cornell, Michael, David Coates, & R. Elwyn Isaac. (1993). Characterisation of putative Drosophila angiotensin converting enzyme cDNA clones. Biochemical Society Transactions. 21(3). 243S–243S. 7 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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