Neus Prats

88 papers receiving 5.2k citations

Neus Prats's Hit Papers

Targeting metastasis-initiating cells through the fatty acid receptor CD36 2016 · 1.1k citations
1.1k0+3+6Years since publication2505007501000

Peers

Neus Prats
Comparison fields: 5 of 127
  • Developmental Neuroscience 285
  • Cancer Research 903
  • Hepatology 437
  • Pathology and Forensic Medicine 722
  • Aging 75
Replace Xiao‐Ming Yin with:
Xiao‐Ming Yin United States
Norimasa Sawada Japan
Xiao‐Kang Li Japan
Krzysztof Reiss United States
G H Wong United States
Iris Behrmann Germany
Dexi Chen China
Masahiko Hatano Japan
Alejandro Zentella‐Dehesa Mexico
Takao Iwawaki Japan
Neus Prats relative to Xiao‐Ming Yin United States Xiao‐Ming Yin's profile →
Citations per field
00.5×3.0×
Xiao‐Ming Yin · 1×
Citations per year

Countries citing papers authored by Neus Prats

Since Specialization
Citations

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

Fields of papers citing papers by Neus Prats

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Neus Prats, 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 Neus Prats Line = papers co-authored together Neus Prats links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Targeting metastasis-initiating cells through the fatty acid receptor CD36
Hit paper breakdown →
20161098
2 2021203
3 2002191
4 1999182
5 2001172
6 2018169
7 1996159
8 2002159
9 2001153
10 1996145
11 1999137
12 2003110
13 2019105
14 1999102
15 2004101
16 200293
17 199992
18 200185
19 202282
20 199772

About Neus Prats

Neus Prats is a scholar working on Surgery, Molecular Biology, Immunology, Physiology and Pathology and Forensic Medicine, having authored 88 papers that have together received 5.3k indexed citations. Recurring topics across this work include Cardiac Ischemia and Reperfusion (12 papers), Organ Transplantation Techniques and Outcomes (12 papers), Listeria monocytogenes in Food Safety (9 papers), Pancreatitis Pathology and Treatment (8 papers), Asthma and respiratory diseases (7 papers), Essential Oils and Antimicrobial Activity (7 papers), Liver Disease and Transplantation (5 papers) and Immune Response and Inflammation (4 papers). The work is most often cited by research in Developmental Neuroscience (285 citations), Cancer Research (903 citations), Hepatology (437 citations), Pathology and Forensic Medicine (722 citations) and Aging (75 citations). Neus Prats has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Joan Roselló‐Catafau, Carmen Peralta, Emilio Gelpı́, Daniel Closa, Carme Xaus, Salvador Aznar Benitah, Georgina Hotter, Andrés Castellanos‐Martín, Camille Stephan‐Otto Attolini and Antonio Berenguer. Their work appears in journals such as Hepatology, Transplantation, Journal of Comparative Pathology, American Journal Of Pathology and British Journal of Pharmacology.

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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