Pablo Ruíz

1.6k citations
55 papers · 646 · h-index 14

Impact in

  • Hepatology top 5%
    • Liver Disease and Transplantation
    • Hepatitis C virus research
    • Renal Transplantation Outcomes and Treatments

Papers in

    • Liver Disease Diagnosis and Treatment 7
    • Hepatitis B Virus Studies 4
    • Organ Transplantation Techniques and Outcomes 7

Pablo Ruíz

50 papers receiving 638 citations

Peers

Pablo Ruíz
Comparison fields: 5 of 66
  • Hepatology 195
  • Transplantation 50
  • Infectious Diseases 124
  • Epidemiology 181
  • Animal Science and Zoology 39
Replace Kazuhiko Sekiyama with:
Kazuhiko Sekiyama Japan
Klaus S. Gutfreund Canada
Maria Rendina Italy
Angelo Rossini Italy
H Telatar Türkiye
Qiang Yan China
Piyawat Komolmit Thailand
Breanndan S. Moore United States
Vanessa De Pace Italy
Jorge Rakela United States
Pablo Ruíz relative to Kazuhiko Sekiyama Japan Kazuhiko Sekiyama's profile →
Citations per field
00.5×10×20×25.3×
Kazuhiko Sekiyama · 1×
Citations per year

Countries citing papers authored by Pablo Ruíz

Since Specialization
Citations

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

Fields of papers citing papers by Pablo Ruíz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017112
2 202168
3 201847
4 201535
5 202135
6 201935
7 202125
8 202124
9 200423
10 201916
11 202015
12 201714
13 202213
14 201713
15 202311
16 201311
17 201611
18 20209
19 20198
20 20128

About Pablo Ruíz

Pablo Ruíz is a scholar working on Epidemiology, Surgery, Hepatology, Infectious Diseases and Oncology, having authored 55 papers that have together received 646 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (7 papers), Organ Transplantation Techniques and Outcomes (7 papers), Renal Transplantation Outcomes and Treatments (5 papers), Hepatitis C virus research (5 papers), Liver Disease and Transplantation (5 papers), Hepatitis B Virus Studies (4 papers), COVID-19 Clinical Research Studies (4 papers) and COVID-19 Impact on Reproduction (3 papers). The work is most often cited by research in Hepatology (195 citations), Transplantation (50 citations), Infectious Diseases (124 citations), Epidemiology (181 citations) and Animal Science and Zoology (39 citations). Pablo Ruíz has collaborated with scholars based in Spain, Italy and United States. Frequent co-authors include Jordi Colmenero, Gonzalo Crespo, Miquel Navasa, Lydia Sastre, Mercè Brunet, Xavier Forns, Olga Millán, Alba Díaz, Asunción Moreno and María‐Carlota Londoño. Their work appears in journals such as Liver Transplantation, International Journal of Colorectal Disease, Frontiers in Immunology, HPB and American Journal of Transplantation.

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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