Maite Chiva

419 citations
8 papers · 325 · h-index 5

Impact in

  • Hepatology top 5%
    • Liver Disease and Transplantation
    • Hepatitis Viruses Studies and Epidemiology
    • Liver Disease Diagnosis and Treatment

Papers in

    • Liver Disease and Transplantation 6
    • Hepatitis Viruses Studies and Epidemiology 1
    • Liver Disease Diagnosis and Treatment 5

Maite Chiva

8 papers receiving 316 citations

Peers

Maite Chiva
Comparison fields: 5 of 47
  • Hepatology 162
  • Epidemiology 125
  • Pharmacology 20
  • Infectious Diseases 35
  • Gastroenterology 9
Replace Elisabet Sánchez with:
Elisabet Sánchez Spain
Luis Martín Ramos Spain
Manish Kumar Lunia India
F. Casafont Morencos Spain
María Jesús López Arias Spain
Franziska Durchschein Austria
Ivana Gmizić Serbia
Luiz Carlos da Costa Gayotto Brazil
Carmen Hurtado Chile
Maria Antonietta Toscano Italy
Maite Chiva relative to Elisabet Sánchez Spain Elisabet Sánchez's profile →
Citations per field
00.5×1.5×
Elisabet Sánchez · 1×
Citations per year

Countries citing papers authored by Maite Chiva

Since Specialization
Citations

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

Fields of papers citing papers by Maite Chiva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Maite Chiva, 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 Maite Chiva Line = papers co-authored together Maite Chiva links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2002109
2 200678
3 200372
4 200644
5 200718
6 20002
7 20031
8 20001

About Maite Chiva

Maite Chiva is a scholar working on Hepatology, Epidemiology, Immunology, Infectious Diseases and Pulmonary and Respiratory Medicine, having authored 8 papers that have together received 325 indexed citations. Recurring topics across this work include Liver Disease and Transplantation (6 papers), Liver Disease Diagnosis and Treatment (5 papers), Immune Response and Inflammation (2 papers), Viral gastroenteritis research and epidemiology (1 paper), Hepatitis Viruses Studies and Epidemiology (1 paper), Biochemical effects in animals (1 paper), Abdominal Surgery and Complications (1 paper) and Salmonella and Campylobacter epidemiology (1 paper). The work is most often cited by research in Hepatology (162 citations), Epidemiology (125 citations), Pharmacology (20 citations), Infectious Diseases (35 citations) and Gastroenterology (9 citations). Maite Chiva has collaborated with scholars based in Spain, United States and Switzerland. Frequent co-authors include Carlos Guarner, Germán Soriano, Teresa Llovet, J. Balanzó, Carmen Peralta, Joaquím Balanzó, Miguel Pérez‐Mateo, Isabelle Rochat, Carlos Muñoz and José M. Such. Their work appears in journals such as Journal of Hepatology, The American Journal of Gastroenterology, European Journal of Gastroenterology & Hepatology and Hepatology.

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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