Cora Chalar

648 citations
30 papers · 537 · h-index 14

Impact in

Papers in

Cora Chalar

29 papers receiving 525 citations

Peers

Cora Chalar
Comparison fields: 5 of 78
  • Parasitology 118
  • Pathology and Forensic Medicine 113
  • Developmental Neuroscience 19
  • Aging 8
  • Biochemistry 27
Replace Ivana Bočina with:
Ivana Bočina Croatia
Akihisa Nakagawa United States
Abdelkader Ayadi France
Euan R.O. Allan United States
Jayonta Bhattacharjee Bangladesh
Abraham I. Grossman United States
Kathryn Mills Australia
Chadanat Noonin Thailand
Armida Báez‐Saldaña Mexico
Taizan Sato Japan
Cora Chalar relative to Ivana Bočina Croatia Ivana Bočina's profile →
Citations per field
00.5×2×3×3.8×
Ivana Bočina · 1×
Citations per year

Countries citing papers authored by Cora Chalar

Since Specialization
Citations

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

Fields of papers citing papers by Cora Chalar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200475
2 200063
3 200360
4 199931
5 200728
6 200527
7 200327
8 200424
9 202121
10 201120
11 199918
12 201017
13 200016
14 200916
15 200711
16 200710
17 20219
18 20199
19 20129
20 19979

About Cora Chalar

Cora Chalar is a scholar working on Pathology and Forensic Medicine, Aquatic Science, Physiology, Cellular and Molecular Neuroscience and Nature and Landscape Conservation, having authored 30 papers that have together received 537 indexed citations. Recurring topics across this work include Parasitic infections in humans and animals (7 papers), Aquaculture Nutrition and Growth (4 papers), Fish biology, ecology, and behavior (3 papers), Redox biology and oxidative stress (3 papers), Physiological and biochemical adaptations (3 papers), Glutathione Transferases and Polymorphisms (3 papers), Nerve injury and regeneration (3 papers) and Congenital Anomalies and Fetal Surgery (3 papers). The work is most often cited by research in Parasitology (118 citations), Pathology and Forensic Medicine (113 citations), Developmental Neuroscience (19 citations), Aging (8 citations) and Biochemistry (27 citations). Cora Chalar has collaborated with scholars based in Uruguay, France and United Kingdom. Frequent co-authors include Gustavo Salinas, Cecilia Fernández, Astrid Agorio, Rick M. Maizels, Ricardo Ehrlich, Murray E. Selkirk, Claudio Martı́nez, C Sanguinetti, Alejandra Kun and Mónica Marı́n. Their work appears in journals such as Experimental Parasitology, Cell and Tissue Research, Acta Tropica, Animal Reproduction Science and Biochemical Journal.

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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