T. Goldman
- Immunology
- Molecular Biology
- Genetics
- Public Health, Environmental and Occupational Health
- Infectious Diseases
- Co-authors
- Michelle N ArbeitmanJoan K. LunneyHenri SalmonChristiane HonischArmin SaalmüllerBent AastedJavier Domı́nguezRichard Pospíšil
- Topics
- T-cell and B-cell Immunology (4 papers)Genetic Mapping and Diversity in Plants and Animals (2 papers)Immune Response and Inflammation (2 papers)
- Journals
- Proceedings of the National Academy of SciencesPLoS GeneticsJournal of Thrombosis and Haemostasis
- Partner nations
- United StatesCzechiaCroatia
In The Last Decade
T. Goldman
13 papers receiving 391 citations
Peers
Comparison fields: 5 of 55
- Immunology 111
- Molecular Biology 99
- Genetics 94
- Public Health, Environmental and Occupational Health 90
- Infectious Diseases 86
Countries citing papers authored by T. Goldman
This map shows the geographic impact of T. Goldman'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 T. Goldman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Goldman more than expected).
Fields of papers citing papers by T. Goldman
This network shows the impact of papers produced by T. Goldman. 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 T. Goldman. The network helps show where T. Goldman may publish in the future.
Co-authorship network of co-authors of T. Goldman
This figure shows the co-authorship network connecting the top 25 collaborators of T. Goldman. A scholar is included among the top collaborators of T. Goldman 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 T. Goldman. T. Goldman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 131 | |
| 3 | 100 | |
| 4 | 26 | |
| 5 | 5 | |
| 6 | RAPD analysis of two pairs of su1se/su1Se near-isogenic lines for the identification of chromosomal regions affecting the sugary enhancer phenotype | 1 |
| 7 | 8 | |
| 8 | Characterization of a porcine chromosome 6 specific library. | 0 |
| 9 | 23 | |
| 10 | 24 | |
| 11 | 14 | |
| 12 | 40 | |
| 13 | 22 | |
| 14 | 15 |
About T. Goldman
T. Goldman is a scholar working on Immunology and Allergy, Microbiology and Small Animals, having authored 14 papers that have together received 411 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (4 papers), Genetic Mapping and Diversity in Plants and Animals (2 papers) and Immune Response and Inflammation (2 papers). The work is most often cited by research in Immunology (111 citations), Infectious Diseases (86 citations) and Clinical Biochemistry (29 citations). T. Goldman has collaborated with scholars based in United States, Czechia and Croatia. Frequent co-authors include Michelle N Arbeitman, Joan K. Lunney, Henri Salmon, Christiane Honisch, Armin Saalmüller, Bent Aasted, Javier Domı́nguez, Richard Pospíšil, A. Canals and James M. Musser. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS Genetics and Journal of Thrombosis and Haemostasis.
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.