Claudia Cocca

1.3k citations
35 papers · 1.0k · h-index 19

Impact in

Papers in

Claudia Cocca

33 papers receiving 1.0k citations

Peers

Claudia Cocca
Comparison fields: 5 of 105
  • Health, Toxicology and Mutagenesis 323
  • Cancer Research 171
  • Pollution 110
  • Biological Psychiatry 14
  • Biochemistry 39
Replace Andrea Randi with:
Andrea Randi Argentina
Tomoya Yamada Japan
Qiuyue Zhang China
Anirudha Giri India
Michael Gülden Germany
Sheau‐Fung Thai United States
Osamu Yamanoshita Japan
R. Bars France
Apinya Thiantanawat Thailand
Hongzu Ren United States
Claudia Cocca relative to Andrea Randi Argentina Andrea Randi's profile →
Citations per field
00.5×1.5×
Andrea Randi · 1×
Citations per year

Countries citing papers authored by Claudia Cocca

Since Specialization
Citations

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

Fields of papers citing papers by Claudia Cocca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005127
2 2015113
3 201265
4 201461
5 201358
6 200948
7 200347
8 201045
9 201944
10 201339
11 200538
12 200138
13 201233
14 202032
15 201628
16 201627
17 201524
18 200921
19 201820
20 201115

About Claudia Cocca

Claudia Cocca is a scholar working on Molecular Biology, Genetics, Health, Toxicology and Mutagenesis, Cancer Research and Endocrinology, Diabetes and Metabolism, having authored 35 papers that have together received 1.0k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (11 papers), Metabolism, Diabetes, and Cancer (9 papers), Growth Hormone and Insulin-like Growth Factors (6 papers), Inflammatory mediators and NSAID effects (4 papers), Pesticide Exposure and Toxicity (4 papers), Toxic Organic Pollutants Impact (4 papers), Cancer, Hypoxia, and Metabolism (4 papers) and Cancer Cells and Metastasis (3 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (323 citations), Cancer Research (171 citations), Pollution (110 citations), Biological Psychiatry (14 citations) and Biochemistry (39 citations). Claudia Cocca has collaborated with scholars based in Argentina and Spain. Frequent co-authors include Andrea Randi, Mariel Núñez, R. Bergoc, Elena Rivera, Clara Ventura, Carolina Pontillo, Noelia Miret, Diana Kleiman de Pisarev, G. Cricco and Andrés Venturino. Their work appears in journals such as Toxicology, Food and Chemical Toxicology, Toxicology Letters, Toxicology and Applied Pharmacology and Environmental Research.

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.

Explore authors with similar magnitude of impact