Ennio Cocca

1.3k citations
49 papers · 1.1k · h-index 19

Impact in

  • Ecology top 5%
    • Physiological and biochemical adaptations
    • Biochemical and biochemical processes

Papers in

    • Ubiquitin and proteasome pathways 5
    • Genomics, phytochemicals, and oxidative stress 5
    • Genomics and Phylogenetic Studies 5

Ennio Cocca

46 papers receiving 1.0k citations

Peers

Ennio Cocca
Comparison fields: 5 of 102
  • Ecology 286
  • Biotechnology 87
  • Biological Psychiatry 21
  • Cell Biology 128
  • Nutrition and Dietetics 109
Replace Antje Müller with:
Antje Müller Germany
Aya Satoh Japan
Matthew J. Jenny United States
Il‐Chan Kim South Korea
Dan Zhao China
Stuart M. Linton Australia
Seong‐il Eyun South Korea
Jeffrey S. Prince United States
Dan Cheng China
Ennio Cocca relative to Antje Müller Germany Antje Müller's profile →
Citations per field
00.5×3.4×
Antje Müller · 1×
Citations per year

Countries citing papers authored by Ennio Cocca

Since Specialization
Citations

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

Fields of papers citing papers by Ennio Cocca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995130
2 199197
3 200283
4 201665
5 199864
6 201456
7 201447
8 201935
9 201735
10 201130
11 199729
12 200528
13 201321
14 202121
15 201720
16 201719
17 201618
18 201318
19 201718
20 201117

About Ennio Cocca

Ennio Cocca is a scholar working on Molecular Biology, Plant Science, Ecology, Oncology and Cell Biology, having authored 49 papers that have together received 1.1k indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (8 papers), Hemoglobin structure and function (7 papers), Physiological and biochemical adaptations (6 papers), Ubiquitin and proteasome pathways (5 papers), Fatty Acid Research and Health (5 papers), Genomics, phytochemicals, and oxidative stress (5 papers), Genomics and Phylogenetic Studies (5 papers) and Hemoglobinopathies and Related Disorders (4 papers). The work is most often cited by research in Ecology (286 citations), Biotechnology (87 citations), Biological Psychiatry (21 citations), Cell Biology (128 citations) and Nutrition and Dietetics (109 citations). Ennio Cocca has collaborated with scholars based in Italy, United States and Algeria. Frequent co-authors include Guido di Prisco, H. William Detrich, Sandra K. Parker, Paolo Bergamo, Laura Camardella, Gianna Palmieri, Marta Gogliettino, Maria Ciaramella, Mauro Rossi and Mosé Rossi. Their work appears in journals such as International Journal of Molecular Sciences, PLoS ONE, Journal of Lipid Research, Gene and Chromosome 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.

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