Thomas J. Kipps
- Molecular Biology top 0.5%
- Cancer Research top 0.05%
- Genetics top 0.5%
- Immunology top 2%
- Pathology and Forensic Medicine top 2%
- Co-authors
- Carlo M. CroceGeorge A. CalinLaura Z. RassentiMasayoshi ShimizuMassimo NegriniSimona ZupoFlorencia BullrichCalin Dan Dumitru
- Topics
- MicroRNA in disease regulation (10 papers)Circular RNAs in diseases (7 papers)RNA modifications and cancer (6 papers)
- Partner nations
- United StatesItalyUnited Kingdom
In The Last Decade
Thomas J. Kipps
17 papers receiving 8.6k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Molecular Biology 7.1k
- Cancer Research 6.7k
- Genetics 999
- Immunology 985
- Pathology and Forensic Medicine 581
Countries citing papers authored by Thomas J. Kipps
This map shows the geographic impact of Thomas J. Kipps'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 Thomas J. Kipps with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas J. Kipps more than expected).
Fields of papers citing papers by Thomas J. Kipps
This network shows the impact of papers produced by Thomas J. Kipps. 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 Thomas J. Kipps. The network helps show where Thomas J. Kipps may publish in the future.
Co-authorship network of co-authors of Thomas J. Kipps
This figure shows the co-authorship network connecting the top 25 collaborators of Thomas J. Kipps. A scholar is included among the top collaborators of Thomas J. Kipps 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 Thomas J. Kipps. Thomas J. Kipps 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 | 74 | |
| 3 | 3 | |
| 4 | 56 | |
| 5 | 46 | |
| 6 | 1 | |
| 7 | 14 | |
| 8 | 59 | |
| 9 | MiR-15a and miR-16-1 cluster functions in human leukemiabreakdown → | 607 |
| 10 | 42 | |
| 11 | 1 | |
| 12 | 5 | |
| 13 | miR-15 and miR-16 induce apoptosis by targeting BCL2breakdown → | 2787 |
| 14 | MicroRNA profiling reveals distinct signatures in B cell chronic lymphocytic leukemiasbreakdown → | 1020 |
| 15 | Frequent deletions and down-regulation of micro- RNA genes miR15 and miR16 at 13q14 in chronic lymphocytic leukemiabreakdown → | 3875 |
| 16 | 118 | |
| 17 | 1 | |
| 18 | 40 |
About Thomas J. Kipps
Thomas J. Kipps is a scholar working on Cancer Research, Genetics and Immunology, having authored 18 papers that have together received 8.7k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (10 papers), Circular RNAs in diseases (7 papers) and RNA modifications and cancer (6 papers). The work is most often cited by research in Cancer Research (6.7k citations), Molecular Biology (7.1k citations) and Genetics (999 citations). Thomas J. Kipps has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Carlo M. Croce, George A. Calin, Laura Z. Rassenti, Masayoshi Shimizu, Massimo Negrini, Simona Zupo, Florencia Bullrich, Calin Dan Dumitru, R. Kanti and Michael J. Keating. Their work appears in journals such as Proceedings of the National Academy of Sciences, Blood and The Journal of Immunology.
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.