J. C. Codina

815 citations
26 papers · 705 · h-index 16

Impact in

Papers in

J. C. Codina

26 papers receiving 659 citations

Peers

J. C. Codina
Comparison fields: 5 of 50
  • Health, Toxicology and Mutagenesis 153
  • Plant Science 320
  • Pollution 88
  • Molecular Medicine 21
  • Water Science and Technology 45
Replace César Díaz‐Pérez with:
César Díaz‐Pérez Mexico
Wenfang Li China
Nicholas C. McClure Australia
Caixia Liu China
María Mercedes Ball Venezuela
Guo‐Hong Liu China
Asim Abbasi Pakistan
Scott T. Kellogg United States
Shinjiro Kanazawa Japan
Sangita Dixit India
J. C. Codina relative to César Díaz‐Pérez Mexico César Díaz‐Pérez's profile →
Citations per field
00.5×1.5×2×2.3×
César Díaz‐Pérez · 1×
Citations per year

Countries citing papers authored by J. C. Codina

Since Specialization
Citations

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

Fields of papers citing papers by J. C. Codina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. C. Codina. 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 J. C. Codina. The network helps show where J. C. Codina may publish in the future.

Co-authors

The 19 scholars most cited alongside J. C. Codina, 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 J. C. Codina Line = papers co-authored together J. C. Codina links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199390
2 200285
3 199081
4 200853
5 200351
6 199544
7
Contribution of mangotoxin to the virulence and epiphytic fitness of Pseudomonas syringae pv. syringae.
200933
8 200032
9 199826
10 201224
11 199823
12 199422
13 200222
14 199320
15 200720
16 199317
17 199511
18 199711
19 19919
20 19969

About J. C. Codina

J. C. Codina is a scholar working on Plant Science, Health, Toxicology and Mutagenesis, Pollution, Building and Construction and Water Science and Technology, having authored 26 papers that have together received 705 indexed citations. Recurring topics across this work include Plant Pathogenic Bacteria Studies (12 papers), Environmental Toxicology and Ecotoxicology (5 papers), Powdery Mildew Fungal Diseases (2 papers), Pharmaceutical and Antibiotic Environmental Impacts (2 papers), Fecal contamination and water quality (2 papers), Anaerobic Digestion and Biogas Production (2 papers), Environmental Chemistry and Analysis (1 paper) and Plant nutrient uptake and metabolism (1 paper). The work is most often cited by research in Health, Toxicology and Mutagenesis (153 citations), Plant Science (320 citations), Pollution (88 citations), Molecular Medicine (21 citations) and Water Science and Technology (45 citations). J. C. Codina has collaborated with scholars based in Spain. Frequent co-authors include Antonio de Vicente, Alejandro Pérez‐García, Francisco Manuel Cazorla, Eva Arrebola, Jesús Murillo, Juan José Borrego, Juan Antonio Torés, Ane Sesma, María Eugenia Sánchez Díaz de Rivera and José A. Gutiérrez‐Barranquero. Their work appears in journals such as Water Science & Technology, Archives of Environmental Contamination and Toxicology, Physiological and Molecular Plant Pathology, Letters in Applied Microbiology and Water 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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