Carmen Cabrera

78 papers receiving 3.7k citations

Carmen Cabrera's Hit Papers

Beneficial Effects of Green Tea—A Review 2006 · 1.6k citations
1.6k0+6+13Years since publication50010001.5k

Peers

Carmen Cabrera
Comparison fields: 5 of 154
  • Biochemistry 795
  • Pathology and Forensic Medicine 1.4k
  • Analytical Chemistry 841
  • Biological Psychiatry 109
  • Applied Microbiology and Biotechnology 76
Replace Siegfried Knasmüller with:
Siegfried Knasmüller Austria
Ramin Rezaee Iran
Sarwat Sultana India
Akiyoshi Nishikawa Japan
Susan J. Duthie United Kingdom
Guodong Zhang China
Xia Xu United States
Ron Walker United Kingdom
Andrea Ghiselli Italy
Shengrong Shen China
Carmen Cabrera relative to Siegfried Knasmüller Austria Siegfried Knasmüller's profile →
Citations per field
00.5×3.2×
Siegfried Knasmüller · 1×
Citations per year

Countries citing papers authored by Carmen Cabrera

Since Specialization
Citations

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

Fields of papers citing papers by Carmen Cabrera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Beneficial Effects of Green Tea—A Review
Hit paper breakdown →
20061574
2 2003400
3 2003179
4 2017141
5 2003130
6 2020129
7 200583
8 202066
9 199666
10 199562
11 199555
12 200151
13 199851
14 200049
15 200744
16 200543
17 199742
18 200641
19 202041
20 200039

About Carmen Cabrera

Carmen Cabrera is a scholar working on Analytical Chemistry, Molecular Biology, Pollution, Health, Toxicology and Mutagenesis and Immunology, having authored 78 papers that have together received 4.1k indexed citations. Recurring topics across this work include Heavy metals in environment (14 papers), Heavy Metals in Plants (13 papers), Analytical chemistry methods development (12 papers), Pluripotent Stem Cells Research (8 papers), Heavy Metal Exposure and Toxicity (6 papers), T-cell and B-cell Immunology (6 papers), Immune Cell Function and Interaction (6 papers) and Biomedical Ethics and Regulation (5 papers). The work is most often cited by research in Biochemistry (795 citations), Pathology and Forensic Medicine (1.4k citations), Analytical Chemistry (841 citations), Biological Psychiatry (109 citations) and Applied Microbiology and Biotechnology (76 citations). Carmen Cabrera has collaborated with scholars based in Spain, United Kingdom and United States. Frequent co-authors include Rafael Giménez, Reyes Artacho, M.C López, M.L. Lorenzo, José Miguel Urra, Manuel Olalla Herrera, Marı́a C. López, Ángel Concha, Fernando Cobo and Ana Nieto. Their work appears in journals such as The Science of The Total Environment, Journal of Agricultural and Food Chemistry, Journal of AOAC International, Cell Biology International and Molecular Immunology.

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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