C Rosse
- Molecular Biology
- Artificial Intelligence top 5%
- Immunology top 10%
- Biomedical Engineering
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- James F. BrinkleyJosé L. V. MejinoJames ClagettKenneth S. LandrethLinda G. ShapiroJ. M. YoffeyKevin P. HinshawR Jakobovits
- Topics
- Biomedical Text Mining and Ontologies (19 papers)Semantic Web and Ontologies (12 papers)Anatomy and Medical Technology (9 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
C Rosse
49 papers receiving 821 citations
Peers
Comparison fields: 5 of 116
- Molecular Biology 378
- Artificial Intelligence 271
- Immunology 245
- Biomedical Engineering 111
- Radiology, Nuclear Medicine and Imaging 107
Countries citing papers authored by C Rosse
This map shows the geographic impact of C 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 C Rosse with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C Rosse more than expected).
Fields of papers citing papers by C Rosse
This network shows the impact of papers produced by C 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 C Rosse. The network helps show where C Rosse may publish in the future.
Co-authorship network of co-authors of C Rosse
This figure shows the co-authorship network connecting the top 25 collaborators of C Rosse. A scholar is included among the top collaborators of C 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 C Rosse. C Rosse is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 7 | |
| 3 | 8 | |
| 4 | 30 | |
| 5 | Conceptualization of anatomical spatial entities in the Digital Anatomist Foundational Model. | 12 |
| 6 | Integration and visualization of multimodality brain data for language mapping. | 6 |
| 7 | The potential of the digital anatomist foundational model for assuring consistency in UMLS sources. | 11 |
| 8 | The digital anatomist foundational model: principles for defining and structuring its concept domain. | 73 |
| 9 | The digital anatomist structural abstraction: a scheme for the spatial description of anatomical entities. | 18 |
| 10 | 20 | |
| 11 | 1 | |
| 12 | 46 | |
| 13 | Enhancements of anatomical information in UMLS knowledge sources. | 9 |
| 14 | 1 | |
| 15 | Thymic regeneration following corticosteroid induced involution effected by intrathymic t cell progenitors | 0 |
| 16 | Evidence for a lineage relationship between cytoplasmic nu+/surface nu- and surface nu-b lymphocytes in adult murine bone marrow. Abstr. | 3 |
| 17 | 18 | |
| 18 | 1 | |
| 19 | 6 | |
| 20 | The hematopoietic repopulating potential of inflammatory exudate cells. | 2 |
About C Rosse
C Rosse is a scholar working on Anatomy, Hematology and Immunology, having authored 52 papers that have together received 883 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (19 papers), Semantic Web and Ontologies (12 papers) and Anatomy and Medical Technology (9 papers). The work is most often cited by research in Anatomy (39 citations), Immunology (245 citations) and Artificial Intelligence (271 citations). C Rosse has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include James F. Brinkley, José L. V. Mejino, James Clagett, Kenneth S. Landreth, Linda G. Shapiro, J. M. Yoffey, Kevin P. Hinshaw, R Jakobovits, Sylvia B. Pollack and Oliver W. Press. Their work appears in journals such as The Lancet, The Journal of Experimental Medicine and Blood.
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.