Javier Graus

1.1k citations
23 papers · 900 · h-index 12

Impact in

  • Hepatology top 5%
    • Hepatitis C virus research
    • Liver Disease and Transplantation
    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 and COVID-19 Research

Papers in

Javier Graus

22 papers receiving 849 citations

Peers

Javier Graus
Comparison fields: 5 of 78
  • Hepatology 299
  • Infectious Diseases 345
  • Transplantation 35
  • Obstetrics and Gynecology 58
  • Epidemiology 249
Replace Giovanna Travi with:
Giovanna Travi Italy
Nicole M. Theodoropoulos United States
Laura Cardeñoso Spain
Roberto Rossotti Italy
Alexandra Ducancelle France
Jennifer S. Husson United States
Lukas Weseslindtner Austria
Chiara Molteni Italy
Elena N. Beam United States
Wang-Da Liu Taiwan
Javier Graus relative to Giovanna Travi Italy Giovanna Travi's profile →
Citations per field
00.5×2×3×3.9×
Giovanna Travi · 1×
Citations per year

Countries citing papers authored by Javier Graus

Since Specialization
Citations

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

Fields of papers citing papers by Javier Graus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020259
2 2004246
3 2020147
4 202129
5 201228
6 202027
7 202024
8 200421
9 199017
10 202415
11 201812
12 202112
13 201812
14 202111
15 201010
16 20099
17 20186
18 20194
19 20234
20 20184

About Javier Graus

Javier Graus is a scholar working on Hepatology, Infectious Diseases, Molecular Medicine, Renewable Energy, Sustainability and the Environment and Epidemiology, having authored 23 papers that have together received 900 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (3 papers), Advanced Photocatalysis Techniques (3 papers), Hepatitis C virus research (3 papers), Copper-based nanomaterials and applications (2 papers), Nanomaterials for catalytic reactions (2 papers), Antibiotic Resistance in Bacteria (2 papers), Bariatric Surgery and Outcomes (2 papers) and Liver Disease and Transplantation (2 papers). The work is most often cited by research in Hepatology (299 citations), Infectious Diseases (345 citations), Transplantation (35 citations), Obstetrics and Gynecology (58 citations) and Epidemiology (249 citations). Javier Graus has collaborated with scholars based in Spain, Germany and United States. Frequent co-authors include Arturo Pérez‐Mota, Javier Bartolomé, Elena Rodríguez‐Iñigo, Margarita Pardo, Nuria Ortiz‐Movilla, Vicente Carréño, Inmaculada Castillo, Susana de Lucas, Clara Salas and Juan Manuel López‐Alcorocho. Their work appears in journals such as Journal of Hepatology, Clinical Transplantation, Digestive and Liver Disease, Clinical Gastroenterology and Hepatology and Journal of Medical Virology.

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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