C L Tucek
Impact in
- Immunology top 10%
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
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- Cell Adhesion Molecules Research
Papers in
-
- T-cell and B-cell Immunology 7
- Immune Cell Function and Interaction 6
- Immunotherapy and Immune Responses 3
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- Transgenic Plants and Applications 3
- Co-authors
- Dale I. Godfrey (6 shared papers)Trevor J. Wilson (4 shared papers)David J. Izon (4 shared papers)Richard L. Boyd (5 shared papers)Patrice Hugo (1 shared paper)Mary A. Ritter (1 shared paper)Andrew G. D. Bean (1 shared paper)Natalie J. Davidson (1 shared paper)
- Journals
- The Journal of Immunology (3 papers)International Immunology (3 papers)Advances in experimental medicine and biology (2 papers)Immunogenetics (1 paper)PubMed Central (1 paper)
- Partner nations
- AustraliaFranceUnited States
In The Last Decade
C L Tucek
12 papers receiving 608 citations
Peers
Comparison fields: 5 of 73
- Immunology 374
- Immunology and Allergy 31
- Endocrinology, Diabetes and Metabolism 69
- Oncology 94
- Endocrine and Autonomic Systems 23
Countries citing papers authored by C L Tucek
This map shows the geographic impact of C L Tucek'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 L Tucek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C L Tucek more than expected).
Fields of papers citing papers by C L Tucek
This network shows the impact of papers produced by C L Tucek. 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 L Tucek. The network helps show where C L Tucek may publish in the future.
Co-authors
The 24 scholars most cited alongside C L Tucek, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1993 | 383 | |
| 2 | The phenotypic heterogeneity of mouse thymic stromal cells. | 1990 | 86 |
| 3 | 1992 | 49 | |
| 4 | 1994 | 17 | |
| 5 | 1988 | 15 | |
| 6 | 1992 | 14 | |
| 7 | 1993 | 12 | |
| 8 | 1993 | 11 | |
| 9 | 1994 | 11 | |
| 10 | 1990 | 10 | |
| 11 | 1988 | 7 | |
| 12 | Antigens shared by thymic stromal cells and T lymphocytes are abnormally expressed in AKR thymuses. | 1989 | 3 |
About C L Tucek
C L Tucek is a scholar working on Immunology, Biotechnology, Infectious Diseases, Molecular Biology and Neurology, having authored 12 papers that have together received 618 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (7 papers), Immune Cell Function and Interaction (6 papers), Transgenic Plants and Applications (3 papers), Immunotherapy and Immune Responses (3 papers), Medicinal Plant Pharmacodynamics Research (1 paper), Cytomegalovirus and herpesvirus research (1 paper), Allergic Rhinitis and Sensitization (1 paper) and Blood groups and transfusion (1 paper). The work is most often cited by research in Immunology (374 citations), Immunology and Allergy (31 citations), Endocrinology, Diabetes and Metabolism (69 citations), Oncology (94 citations) and Endocrine and Autonomic Systems (23 citations). C L Tucek has collaborated with scholars based in Australia, France and United States. Frequent co-authors include Dale I. Godfrey, Trevor J. Wilson, David J. Izon, Richard L. Boyd, Patrice Hugo, Mary A. Ritter, Andrew G. D. Bean, Natalie J. Davidson, Heather M. Ladyman and R L Boyd. Their work appears in journals such as The Journal of Immunology, International Immunology, Advances in experimental medicine and biology, Immunogenetics and PubMed Central.
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.