Katti Jessen
- Molecular Biology top 10%
- PI3K/AKT/mTOR signaling in cancer 13
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research 5
- Oncology top 10%
- CAR-T cell therapy research 4
- Pancreatic and Hepatic Oncology Research 4
- Colorectal Cancer Treatments and Studies 3
- Cancer Treatment and Pharmacology 3
- HER2/EGFR in Cancer Research 3
- Cancer Research top 10%
- Hematology top 10%
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- Monoclonal and Polyclonal Antibodies Research 5
- Co-authors
- Christian RommelMichael MartinPingda RenMatthew R. JanesShunyou WangDavide RuggeroAndrew C. HsiehKevan M. Shokat
- Cited by
- Molecular BiologyGeneticsOncology
- Journals
- Nature (1 paper)Journal of Biological Chemistry (1 paper)Journal of Clinical Oncology (1 paper)
- Partner nations
- United StatesSpainItaly
In The Last Decade
Katti Jessen
27 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 81
- Molecular Biology 1.3k
- Genetics 165
- Oncology 389
- Cancer Research 184
- Hematology 123
Countries citing papers authored by Katti Jessen
This map shows the geographic impact of Katti Jessen'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 Katti Jessen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katti Jessen more than expected).
Fields of papers citing papers by Katti Jessen
This network shows the impact of papers produced by Katti Jessen. 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 Katti Jessen. The network helps show where Katti Jessen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Katti Jessen, 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 | 2021 | 65 | |
| 2 | 2019 | 9 | |
| 3 | 2018 | 9 | |
| 4 | 2017 | 8 | |
| 5 | 2016 | 30 | |
| 6 | 2015 | 20 | |
| 7 | 2014 | 2 | |
| 8 | 2012 | 59 | |
| 9 | The translational landscape of mTOR signalling steers cancer initiation and metastasisbreakdown → | 2012 | 978 |
| 10 | 2012 | 85 | |
| 11 | 2012 | 118 | |
| 12 | 2012 | 97 | |
| 13 | 2012 | 4 | |
| 14 | 2011 | 1 | |
| 15 | 2011 | 14 | |
| 16 | 2011 | 1 | |
| 17 | 2010 | 1 | |
| 18 | 1985 | 48 | |
| 19 | Multiparametric tumor marker (CA 19-9, CEA, AFP, POA) analyses of pancreatic juices and sera in pancreatic diseases. | 1985 | 11 |
| 20 | 1981 | 10 |
About Katti Jessen
Katti Jessen is a scholar working on Oncology, Genetics and Hematology, having authored 27 papers that have together received 1.6k indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (13 papers), Chronic Lymphocytic Leukemia Research (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), CAR-T cell therapy research (4 papers), Pancreatic and Hepatic Oncology Research (4 papers), Colorectal Cancer Treatments and Studies (3 papers), Cancer Treatment and Pharmacology (3 papers) and HER2/EGFR in Cancer Research (3 papers). The work is most often cited by research in Molecular Biology (1.3k citations), Genetics (165 citations) and Oncology (389 citations). Katti Jessen has collaborated with scholars based in United States, Spain and Italy. Frequent co-authors include Christian Rommel, Michael Martin, Pingda Ren, Matthew R. Janes, Shunyou Wang, Davide Ruggero, Andrew C. Hsieh, Kevan M. Shokat, Michael Bonham and Jonathan S. Weissman. Their work appears in journals such as Nature, Journal of Biological Chemistry and Journal of Clinical Oncology.
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.