Katti Jessen

3.0k citations
27 papers · 1.6k indexed · 1 hit paper · h-index 12
Topics
PI3K/AKT/mTOR signaling in cancer (13 papers)Chronic Lymphocytic Leukemia Research (5 papers)Monoclonal and Polyclonal Antibodies Research (5 papers)
Partner nations
United StatesSpainItaly

In The Last Decade

Katti Jessen

27 papers receiving 1.6k citations

Hit Papers

The translational landscape of mTOR signalling steers can...20122026201620212012250500750

Peers

Katti Jessen
Comparison fields: 5 of 81
  • Molecular Biology 1.3k
  • Oncology 389
  • Immunology 184
  • Cancer Research 184
  • Genetics 165
Replace Stefanie S. Schalm with:
Stefanie S. Schalm United States
Lars Anders United States
Mark A. Gregory United States
Katharine Ellwood‐Yen United States
Esther Castellano Spain
Nicole M. Sodir United States
Nathan G. Dolloff United States
Teresa Klinowska United Kingdom
Arianna Sabò Italy
Micaela Quarto Italy
Katti Jessen relative to Stefanie S. Schalm United States Stefanie S. Schalm's profile →
Citations per field
00.5×1.5×
Stefanie S. Schalm · 1×
Citations per year

Countries citing papers authored by Katti Jessen

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Katti Jessen

This figure shows the co-authorship network connecting the top 25 collaborators of Katti Jessen. A scholar is included among the top collaborators of Katti Jessen 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 Katti Jessen. Katti Jessen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 65
2 9
3 9
4 8
5 30
6 20
7 2
8 59
9
The translational landscape of mTOR signalling steers cancer initiation and metastasisbreakdown →
978
10 85
11 118
12 97
13 4
14 1
15 14
16 1
17 1
18 48
19
Multiparametric tumor marker (CA 19-9, CEA, AFP, POA) analyses of pancreatic juices and sera in pancreatic diseases.
11
20 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) and Monoclonal and Polyclonal Antibodies Research (5 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.

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