Daniel Álvarez

640 citations
23 papers · 481 · h-index 13

Impact in

Papers in

Daniel Álvarez

21 papers receiving 465 citations

Peers

Daniel Álvarez
Comparison fields: 5 of 84
  • Hepatology 122
  • Biomedical Engineering 144
  • Epidemiology 82
  • Pulmonary and Respiratory Medicine 77
  • Nephrology 15
Replace Ki‐Hong Kim with:
Ki‐Hong Kim South Korea
Rosanna Ciancia Italy
Z. Amin United Kingdom
Lao M Poland
Hideki Shibata Japan
Yih‐Jyh Lin Taiwan
Hiroyuki Morisaka Japan
Miki Kaneko Japan
H. C. Chang United States
Stefan Limmer Germany
Daniel Álvarez relative to Ki‐Hong Kim South Korea Ki‐Hong Kim's profile →
Citations per field
00.5×3.8×
Ki‐Hong Kim · 1×
Citations per year

Countries citing papers authored by Daniel Álvarez

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Álvarez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel Álvarez, 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 Daniel Álvarez Line = papers co-authored together Daniel Álvarez 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 2014125
2 200363
3 199955
4 202030
5 199430
6 201926
7 199326
8 199125
9 200120
10 201517
11 202114
12 202014
13 199812
14 199411
15 20213
16 20143
17 20232
18
[Usefulness of transient elastography (Fibroscan®) in the assessment of fibrosis in patients with chronic liver disease].
20122
19 20201
20 20201

About Daniel Álvarez

Daniel Álvarez is a scholar working on Hepatology, Epidemiology, Surgery, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 23 papers that have together received 481 indexed citations. Recurring topics across this work include Liver Disease and Transplantation (8 papers), Liver Disease Diagnosis and Treatment (7 papers), Heat shock proteins research (2 papers), Hemodynamic Monitoring and Therapy (2 papers), Pelvic floor disorders treatments (2 papers), thermodynamics and calorimetric analyses (2 papers), Organ Transplantation Techniques and Outcomes (2 papers) and Ultrasound and Hyperthermia Applications (1 paper). The work is most often cited by research in Hepatology (122 citations), Biomedical Engineering (144 citations), Epidemiology (82 citations), Pulmonary and Respiratory Medicine (77 citations) and Nephrology (15 citations). Daniel Álvarez has collaborated with scholars based in Argentina, United States and Cuba. Frequent co-authors include Ricardo Mastaï, Aydogan Özcan, Ahmet F. Coskun, Arif E. Çetin, Betty C. Galarreta, Hatice Altug, Ramiro Sánchez, Hugo Londero, C. Kotliar and Christopher S. Wilcox. Their work appears in journals such as Digestive Diseases and Sciences, Journal of Hepatology, Hepatology, Particle & Particle Systems Characterization and International Journal of Colorectal Disease.

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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