T Improta
Impact in
- Immunology top 2%
- interferon and immune responses
- Immune Cell Function and Interaction
- Immune Response and Inflammation
- T-cell and B-cell Immunology
- Oncology top 2%
- Cytokine Signaling Pathways and Interactions
Papers in
- Oncology 7
- Cytokine Signaling Pathways and Interactions 5
- Lung Cancer Research Studies 1
-
- interferon and immune responses 4
- Galectins and Cancer Biology 2
- Co-authors
- Christian Schindler (4 shared papers)Xiuping Fu (2 shared papers)James Darnell (3 shared papers)J E Darnell (1 shared paper)R Aebersold (1 shared paper)Ruedi Aebersold (1 shared paper)Ian M. Kerr (2 shared papers)George R. Stark (2 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (4 papers)Journal of Clinical Oncology (1 paper)Cytokine (1 paper)The EMBO Journal (1 paper)Journal of Medical Genetics (1 paper)
- Partner nations
- United StatesItalyUnited Kingdom
In The Last Decade
T Improta
13 papers receiving 1.7k citations
T Improta's Hit Papers
Peers
Comparison fields: 5 of 68
- Immunology 1.1k
- Oncology 1.3k
- Cancer Research 245
- Pharmacology 121
- Molecular Biology 603
Countries citing papers authored by T Improta
This map shows the geographic impact of T Improta'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 Improta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T Improta more than expected).
Fields of papers citing papers by T Improta
This network shows the impact of papers produced by T Improta. 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 Improta. The network helps show where T Improta may publish in the future.
Co-authors
The 25 scholars most cited alongside T Improta, 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 | Proteins of transcription factor ISGF-3: one gene encodes the 91-and 84-kDa ISGF-3 proteins that are activated by interferon alpha. Hit paper breakdown → | 1992 | 582 |
| 2 | 1992 | 452 | |
| 3 | 1993 | 387 | |
| 4 | 1994 | 133 | |
| 5 | 1991 | 81 | |
| 6 | 1992 | 44 | |
| 7 | 1988 | 43 | |
| 8 | 1997 | 13 | |
| 9 | 1983 | 7 | |
| 10 | 1984 | 3 | |
| 11 | 2019 | 3 | |
| 12 | Serum lactate dehydrogenase isoenzyme pattern in acute transformation of chronic granulocytic leukemia. | 1986 | 3 |
| 13 | 2019 | 1 |
About T Improta
T Improta is a scholar working on Oncology, Immunology, Molecular Biology, Genetics and Pulmonary and Respiratory Medicine, having authored 13 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (5 papers), interferon and immune responses (4 papers), Galectins and Cancer Biology (2 papers), Hemoglobinopathies and Related Disorders (2 papers), Lung Cancer Treatments and Mutations (2 papers), RNA regulation and disease (2 papers), Lung Cancer Research Studies (1 paper) and Heat shock proteins research (1 paper). The work is most often cited by research in Immunology (1.1k citations), Oncology (1.3k citations), Cancer Research (245 citations), Pharmacology (121 citations) and Molecular Biology (603 citations). T Improta has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Christian Schindler, Xiuping Fu, James Darnell, J E Darnell, R Aebersold, Ruedi Aebersold, Ian M. Kerr, George R. Stark, James Briscoe and Carl Laxton. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology, Cytokine, The EMBO Journal and Journal of Medical Genetics.
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.