Marta Torroella‐Kouri

1.2k citations
23 papers · 815 indexed · h-index 14
Topics
Immune cells in cancer (10 papers)Immune Cell Function and Interaction (7 papers)Immunotherapy and Immune Responses (4 papers)

In The Last Decade

Marta Torroella‐Kouri

23 papers receiving 801 citations

Peers

Marta Torroella‐Kouri
Comparison fields: 5 of 77
  • Immunology 337
  • Oncology 330
  • Molecular Biology 290
  • Epidemiology 202
  • Cancer Research 177
Replace Olivier De Henau with:
Olivier De Henau United States
Daisuke Yamaji Japan
K. O. Kliche United States
Tomoko Tsuchiya Japan
Takehiro Serikawa Japan
Francine Ke Australia
Yunxiu Huang China
Hequan Li China
Junko Goto Japan
Rubén René González United States
Marta Torroella‐Kouri relative to Olivier De Henau United States Olivier De Henau's profile →
Citations per field
00.5×4.3×
Olivier De Henau · 1×
Citations per year

Countries citing papers authored by Marta Torroella‐Kouri

Since Specialization
Citations

This map shows the geographic impact of Marta Torroella‐Kouri'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 Marta Torroella‐Kouri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marta Torroella‐Kouri more than expected).

Fields of papers citing papers by Marta Torroella‐Kouri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marta Torroella‐Kouri. 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 Marta Torroella‐Kouri. The network helps show where Marta Torroella‐Kouri may publish in the future.

Co-authorship network of co-authors of Marta Torroella‐Kouri

This figure shows the co-authorship network connecting the top 25 collaborators of Marta Torroella‐Kouri. A scholar is included among the top collaborators of Marta Torroella‐Kouri 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 Marta Torroella‐Kouri. Marta Torroella‐Kouri 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 88
2 2
3 8
4 4
5 25
6 29
7 50
8 14
9 117
10 98
11 20
12
Role of the proteasome in the downregulation of transcription factors NFkappaB and C/EBP in macrophages from tumor hosts.
3
13 96
14 9
15 6
16 13
17 28
18
Mammary tumor-derived. TGF-β impairs crucial innate immune responses in tumor hosts
5
19 13
20 68

About Marta Torroella‐Kouri

Marta Torroella‐Kouri is a scholar working on Immunology, Oncology and Cancer Research, having authored 23 papers that have together received 815 indexed citations. Recurring topics across this work include Immune cells in cancer (10 papers), Immune Cell Function and Interaction (7 papers) and Immunotherapy and Immune Responses (4 papers). The work is most often cited by research in Immunology (337 citations), Oncology (330 citations) and Cancer Research (177 citations). Marta Torroella‐Kouri has collaborated with scholars based in United States, France and Switzerland. Frequent co-authors include Vijaya Iragavarapu‐Charyulu, Ruben R. Gonzalez‐Perez, Roberto Carrió, Mingli Liu, Guangdi Wang, Shanchun Guo, Raul Caso, Dayron Rodríguez, Ramon Garcia‐Areas and Stephania Libreros. Their work appears in journals such as Cancer Research, International Journal of Cancer and Biochimica et Biophysica Acta (BBA) - Reviews on Cancer.

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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