Cornelius Rosse

7.2k total citations · 3 hit papers
73 papers, 4.5k citations indexed

About

Cornelius Rosse is a scholar working on Molecular Biology, Artificial Intelligence and Immunology. According to data from OpenAlex, Cornelius Rosse has authored 73 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 25 papers in Artificial Intelligence and 21 papers in Immunology. Recurrent topics in Cornelius Rosse's work include Biomedical Text Mining and Ontologies (30 papers), Semantic Web and Ontologies (23 papers) and Immunotoxicology and immune responses (7 papers). Cornelius Rosse is often cited by papers focused on Biomedical Text Mining and Ontologies (30 papers), Semantic Web and Ontologies (23 papers) and Immunotoxicology and immune responses (7 papers). Cornelius Rosse collaborates with scholars based in United States, United Kingdom and Australia. Cornelius Rosse's co-authors include José L. V. Mejino, Barry Smith, Werner Ceusters, Chris Mungall, W. Henry Hollinshead, Patricia L. Whetzel, Karen Eilbeck, William Bug, Neocles B. Leontis and Nigam H. Shah and has published in prestigious journals such as Nature, Blood and Nature Biotechnology.

In The Last Decade

Cornelius Rosse

70 papers receiving 4.1k citations

Hit Papers

The OBO Foundry: coordinated evolution of ontologies to s... 2003 2026 2010 2018 2007 2003 2005 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cornelius Rosse United States 23 3.2k 2.3k 377 350 309 73 4.5k
Georgios V. Gkoutos United Kingdom 34 2.8k 0.9× 1.1k 0.5× 217 0.6× 745 2.1× 129 0.4× 199 4.5k
James Malone United States 33 1.6k 0.5× 690 0.3× 1.4k 3.6× 282 0.8× 109 0.4× 130 4.6k
Michael Krauthammer United States 33 3.5k 1.1× 1.1k 0.5× 73 0.2× 367 1.0× 375 1.2× 115 4.6k
Karen Eilbeck United States 21 2.8k 0.9× 1.1k 0.5× 47 0.1× 742 2.1× 55 0.2× 65 3.6k
Zhi Wei United States 39 3.2k 1.0× 556 0.2× 295 0.8× 966 2.8× 652 2.1× 259 6.2k
Chun‐Nan Hsu Taiwan 26 871 0.3× 1.2k 0.5× 56 0.1× 210 0.6× 96 0.3× 103 2.6k
Casey S. Greene United States 38 2.8k 0.9× 699 0.3× 103 0.3× 787 2.2× 335 1.1× 144 4.9k
Werner Ceusters United States 23 3.4k 1.1× 2.7k 1.2× 18 0.0× 341 1.0× 13 0.0× 132 4.3k
John V. Pearson Australia 24 1.8k 0.5× 566 0.2× 125 0.3× 745 2.1× 126 0.4× 59 3.7k
C. Huard Canada 5 6.4k 2.0× 1.8k 0.8× 184 0.5× 493 1.4× 273 0.9× 6 8.3k

Countries citing papers authored by Cornelius Rosse

Since Specialization
Citations

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

Fields of papers citing papers by Cornelius Rosse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cornelius Rosse

This figure shows the co-authorship network connecting the top 25 collaborators of Cornelius Rosse. A scholar is included among the top collaborators of Cornelius Rosse 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 Cornelius Rosse. Cornelius Rosse 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.
Smith, Barry, Michael Ashburner, Cornelius Rosse, et al.. (2007). The OBO Foundry: coordinated evolution of ontologies to support biomedical data integration. Nature Biotechnology. 25(11). 1251–1255. 1564 indexed citations breakdown →
2.
Kumar, Anand, et al.. (2005). On carcinomas and other pathological entities: Research Articles. Comparative and Functional Genomics. 6(7). 379–387. 1 indexed citations
3.
Smith, Barry, Anand Kumar, Werner Ceusters, & Cornelius Rosse. (2005). On carcinomas and other pathological entities. Comparative and Functional Genomics. 6(7-8). 379–387. 9 indexed citations
4.
Donnelly, Maureen P., Thomas Bittner, & Cornelius Rosse. (2005). A formal theory for spatial representation and reasoning in biomedical ontologies. Artificial Intelligence in Medicine. 36(1). 1–27. 35 indexed citations
5.
Smith, Barry, Werner Ceusters, Bert R. E. Klagges, et al.. (2005). Relations in biomedical ontologies. Genome biology. 6(5). R46–R46. 653 indexed citations breakdown →
6.
Parkinson, Helen, Stuart Aitken, Richard Baldock, et al.. (2004). The SOFG anatomy entry list (SAEL): an annotation tool for functional genomics data. Comparative and Functional Genomics. 5(6-7). 521–527. 7 indexed citations
7.
Smith, Barry & Cornelius Rosse. (2004). The Role of Foundational Relations in the Alignment of Biomedical Ontologies. Studies in health technology and informatics. 107(Pt 1). 444–8. 82 indexed citations
8.
Rosse, Cornelius & José L. V. Mejino. (2003). A reference ontology for biomedical informatics: the Foundational Model of Anatomy. Journal of Biomedical Informatics. 36(6). 478–500. 682 indexed citations breakdown →
9.
Mork, Peter, Dan Suciu, James F. Brinkley, & Cornelius Rosse. (2002). A Declarative Query Interface for Large Semantic Networks. PubMed Central. 1110–1110. 2 indexed citations
10.
Brinkley, James F., R Jakobovits, & Cornelius Rosse. (2002). An Online Image Management System for Anatomy Teaching. American Medical Informatics Association Annual Symposium. 65(2). 983–983. 3 indexed citations
11.
Lachman, Nirusha, Robert D. Acland, & Cornelius Rosse. (2002). Anatomical evidence for the absence of a morphologically distinct cranial root of the accessory nerve in man. Clinical Anatomy. 15(1). 4–10. 23 indexed citations
12.
Mejino, José L. V., Natalya F. Noy, Mark A. Musen, James F. Brinkley, & Cornelius Rosse. (2001). Representation of Structural Relationships in the Foundational Model of Anatomy. Europe PMC (PubMed Central). 973–973. 7 indexed citations
13.
Rosse, Cornelius. (2001). Terminologia Anatomica: Considered from the perspective of next-generation knowledge sources. Clinical Anatomy. 14(2). 120–133. 41 indexed citations
14.
Burnside, Elizabeth S., et al.. (1999). Representing the Digital Anatomist Foundational Model as a Protege Ontology. PubMed Central. 1070–1070.
15.
Rosse, Cornelius. (1999). Anatomy atlases. Clinical Anatomy. 12(4). 293–299. 7 indexed citations
16.
Brinkley, James F., et al.. (1995). A Distributed Framework for Distance Learning in Anatomy: The Digital Anatomist Interactive Atlas. PubMed Central. 972–972. 2 indexed citations
17.
Pollack, Sylvia B., et al.. (1992). Production and differentiation of NK lineage cells in long-term bone marrow cultures in the absence of exogenous growth factors. Cellular Immunology. 139(2). 352–362. 12 indexed citations
18.
Mejino, José L. V., et al.. (1991). The role of hematogenous and intrinsic precursor cells in lymphocyte production in murine bone marrow and thymus. American Journal of Anatomy. 192(3). 232–240. 2 indexed citations
19.
Brinkley, James F., et al.. (1989). A Framework for the Design of Knowledge-Based Systems in Structural Biology.. PubMed Central. 61–65. 19 indexed citations
20.
Rosse, Cornelius & Dan Clawson. (1970). Introduction to the musculoskeletal system. 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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