C Rosse

1.2k citations
53 papers · 958 · h-index 18

Impact in

  • Anatomy top 0.2%
  • Immunology top 10%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • Immune Response and Inflammation

Papers in

    • Biomedical Text Mining and Ontologies 17
    • Glycosylation and Glycoproteins Research 3
    • Immune Response and Inflammation 8

C Rosse

48 papers receiving 868 citations

Peers

C Rosse
Comparison fields: 5 of 117
  • Anatomy 48
  • Immunology 244
  • Artificial Intelligence 302
  • Molecular Biology 410
  • Hematology 62
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Citations per field
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Citations per year

Countries citing papers authored by C Rosse

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 25 scholars most cited alongside C Rosse, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with C Rosse Line = papers co-authored together C Rosse links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998144
2 1981116
3
The digital anatomist foundational model: principles for defining and structuring its concept domain.
199884
4 199550
5 196740
6 198739
7 199933
8
The role of definitions in biomedical concept representation.
200132
9 200231
10
Foundational model of neuroanatomy: implications for the Human Brain Project.
200127
11 199326
12 199723
13
The morphology of the transitional lymphocyte in guinea-pig bone marrow.
196723
14 200222
15
The digital anatomist structural abstraction: a scheme for the spatial description of anatomical entities.
199821
16 197721
17 198020
18
The differentiation of B and T lymphocytes from precursor cells resident in the bone marrow.
197818
19
Conceptualization of anatomical spatial entities in the Digital Anatomist Foundational Model.
199917
20
Semi-automatic scene generation using the Digital Anatomist Foundational Model.
199914

About C Rosse

C Rosse is a scholar working on Molecular Biology, Immunology, Artificial Intelligence, Biomedical Engineering and Radiology, Nuclear Medicine and Imaging, having authored 53 papers that have together received 958 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (17 papers), Semantic Web and Ontologies (11 papers), Anatomy and Medical Technology (9 papers), Hematopoietic Stem Cell Transplantation (8 papers), Immune Response and Inflammation (8 papers), Medical and Biological Sciences (5 papers), Natural Language Processing Techniques (4 papers) and Glycosylation and Glycoproteins Research (3 papers). The work is most often cited by research in Anatomy (48 citations), Immunology (244 citations), Artificial Intelligence (302 citations), Molecular Biology (410 citations) and Hematology (62 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, Kevin P. Hinshaw, R Jakobovits, J. M. Yoffey, Sylvia B. Pollack and Oliver W. Press. Their work appears in journals such as The Journal of Immunology, Blood, Journal of the American Medical Informatics Association, Acta Haematologica and Academic Medicine.

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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