Raúl Catena

3.4k citations
30 papers · 2.2k indexed · 1 hit paper · h-index 24

Impact in

Papers in

Raúl Catena

30 papers receiving 2.2k citations

Hit Papers

histoCAT: analysis of cell phenotypes and interactions in multiplex image cytometry data 2017 · 375 citations
3752017202620202023100200300

Peers

Raúl Catena
Comparison fields: 5 of 123
  • Cancer Research 459
  • Biophysics 164
  • Oncology 679
  • Aging 41
  • Immunology 445
Replace Mehdi Nosrati with:
Mehdi Nosrati United States
Koei Chin United States
Afshan McCarthy United Kingdom
Stella Pelengaris United Kingdom
William C. Hines United States
Julie B. Sneddon United States
Niklas Rindtorff Germany
Bhupinder Pal Australia
Hartland W. Jackson Canada
William Flavahan United States
Raúl Catena relative to Mehdi Nosrati United States Mehdi Nosrati's profile →
Citations per field
00.5×2.7×
Mehdi Nosrati · 1×
Citations per year

Countries citing papers authored by Raúl Catena

Since Specialization
Citations

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

Fields of papers citing papers by Raúl Catena

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Raúl Catena. 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 Raúl Catena. The network helps show where Raúl Catena may publish in the future.

Co-authors

The 25 scholars most cited alongside Raúl Catena, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Raúl Catena Line = papers co-authored together Raúl Catena links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201930
2
histoCAT: analysis of cell phenotypes and interactions in multiplex image cytometry data
Hit paper breakdown →
2017375
3 2016223
4 2015168
5 2013102
6 2013126
7 2012234
8 201137
9 201160
10 201041
11 201048
12 201027
13 201032
14 201065
15 200942
16 2009101
17 200867
18 200747
19 2007196
20
[Drug combination with antitussive activity. Clinical trial].
19771

About Raúl Catena

Raúl Catena is a scholar working on Biophysics, Aging, Immunology and Allergy, Cancer Research and Oncology, having authored 30 papers that have together received 2.2k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (6 papers), Angiogenesis and VEGF in Cancer (6 papers), Single-cell and spatial transcriptomics (5 papers), Cell Image Analysis Techniques (5 papers), Prostate Cancer Treatment and Research (5 papers), Cell Adhesion Molecules Research (3 papers), CRISPR and Genetic Engineering (2 papers) and Protease and Inhibitor Mechanisms (2 papers). The work is most often cited by research in Cancer Research (459 citations), Biophysics (164 citations), Oncology (679 citations), Aging (41 citations) and Immunology (445 citations). Raúl Catena has collaborated with scholars based in Spain, United States and Switzerland. Frequent co-authors include Alfonso Calvo, Bernd Bodenmiller, Luis M. Montuenga, Vivek Mittal, Dingcheng Gao, Natasha Joshi, Rubén Pı́o, Hartland W. Jackson, Denis Schapiro and Jana Fischer. Their work appears in journals such as Cancer Research, British Journal of Cancer, The Prostate, Journal of Controlled Release and Nature Methods.

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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