Chiara Elia

37 papers receiving 1.4k citations

Peers

Chiara Elia
Comparison fields: 5 of 93
  • Hepatology 486
  • Nephrology 186
  • Developmental Neuroscience 48
  • Cancer Research 144
  • Infectious Diseases 175
Replace Yoshiko Habu with:
Yoshiko Habu Japan
Dieter Mitteregger Austria
Agnes M. Azimzadeh United States
Lewis F. Neville United States
Pengda Chen China
Terence N. Bukong United States
Joël Zindel Switzerland
Kerri A. O’Malley United States
Moritz Haneklaus Ireland
Lei Hou China
Chiara Elia relative to Yoshiko Habu Japan Yoshiko Habu's profile →
Citations per field
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Citations per year

Countries citing papers authored by Chiara Elia

Since Specialization
Citations

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

Fields of papers citing papers by Chiara Elia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020203
2 2016115
3 2019114
4 2005113
5 2018104
6 201588
7 201487
8 201486
9 201359
10 202049
11 201547
12 201144
13 201541
14 201737
15 201937
16 200535
17 201733
18
Effects of symbiotic preparations on constipated irritable bowel syndrome symptoms.
200730
19 201729
20 201327

About Chiara Elia

Chiara Elia is a scholar working on Hepatology, Epidemiology, Molecular Biology, Pulmonary and Respiratory Medicine and Surgery, having authored 38 papers that have together received 1.5k indexed citations. Recurring topics across this work include Liver Disease and Transplantation (11 papers), Liver Disease Diagnosis and Treatment (5 papers), Electrolyte and hormonal disorders (3 papers), Extracellular vesicles in disease (3 papers), MicroRNA in disease regulation (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), HIV-related health complications and treatments (2 papers) and HIV Research and Treatment (2 papers). The work is most often cited by research in Hepatology (486 citations), Nephrology (186 citations), Developmental Neuroscience (48 citations), Cancer Research (144 citations) and Infectious Diseases (175 citations). Chiara Elia has collaborated with scholars based in Italy, Spain and United States. Frequent co-authors include Pere Ginès, Elsa Solà, Javier Fernández, Silvia Coco, Michela Matteoli, Isabel Graupera, Rebeca Moreira, Vicente Arroyo, Rogelio Barreto and Ezequiel Rodríguez. Their work appears in journals such as Journal of Hepatology, Digestive and Liver Disease, Liver Transplantation, European Journal of Gastroenterology & Hepatology 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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