Mercedes Casanova

1.5k citations
24 papers · 1.2k indexed · h-index 17

Mercedes Casanova

24 papers receiving 1.1k citations

Peers

Mercedes Casanova
Comparison fields: 5 of 121
  • Health, Toxicology and Mutagenesis 515
  • Cancer Research 330
  • Chemical Health and Safety 14
  • Process Chemistry and Technology 33
  • Endocrinology 38
Replace Benjamin C. Moeller with:
Benjamin C. Moeller United States
Donna Langley United Kingdom
Clive Meredith United Kingdom
Achim Löf Sweden
Anne N. Tucker United States
Renu Batra Germany
Erdem Coşkun Türkiye
Gary A. Sega United States
Élisa Boutet-Robinet France
Yuebin Ke China
Mercedes Casanova relative to Benjamin C. Moeller United States Benjamin C. Moeller's profile →
Citations per field
00.5×6.3×
Benjamin C. Moeller · 1×
Citations per year

Countries citing papers authored by Mercedes Casanova

Since Specialization
Citations

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

Fields of papers citing papers by Mercedes Casanova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202217
2 201850
3 20175
4 201411
5 201363
6 201045
7 2004165
8 199972
9 199960
10 1998135
11 199732
12 199621
13 199410
14 199416
15 199110
16 198915
17 198782
18 198726
19 198560
20
19851

About Mercedes Casanova

Mercedes Casanova is a scholar working on Cancer Research, Health, Toxicology and Mutagenesis and Process Chemistry and Technology, having authored 24 papers that have together received 1.2k indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (12 papers), Indoor Air Quality and Microbial Exposure (8 papers), Bacterial Genetics and Biotechnology (8 papers), Bacteriophages and microbial interactions (4 papers), RNA and protein synthesis mechanisms (4 papers), Air Quality and Health Impacts (3 papers), Effects and risks of endocrine disrupting chemicals (3 papers) and Advanced Chemical Sensor Technologies (3 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (515 citations), Cancer Research (330 citations) and Chemical Health and Safety (14 citations). Mercedes Casanova has collaborated with scholars based in United States, Spain and Netherlands. Frequent co-authors include Henry d’A. Heck, Thomas B. Starr, Miguel Vicente, Shannon Archibeque-Engle, You Li, Pilar Palacios, Li-Qun Fan, Madhabananda Sar, Chiu‐Wing Lam and Rory B. Conolly. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications and PLoS ONE.

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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