Ulises Alvarez

24 papers receiving 1.6k citations

Peers

Ulises Alvarez
Comparison fields: 5 of 109
  • Immunology and Allergy 232
  • Rheumatology 300
  • Oncology 444
  • Cell Biology 258
  • Hematology 155
Replace Masahiko Katayama with:
Masahiko Katayama Japan
Thibaut Quillard France
Folker E. Franke Germany
Kent Søe Denmark
Alan Horner United Kingdom
D.A. Miller United States
Otto Sánchez Canada
Brian R. Genge United States
Fengrong Zuo United States
Robert J. Kelm United States
Ulises Alvarez relative to Masahiko Katayama Japan Masahiko Katayama's profile →
Citations per field
00.5×1.5×2.5×
Masahiko Katayama · 1×
Citations per year

Countries citing papers authored by Ulises Alvarez

Since Specialization
Citations

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

Fields of papers citing papers by Ulises Alvarez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000239
2 2000216
3 2003196
4 1993163
5 1995121
6 200395
7 199891
8 200191
9 200389
10 199748
11 200242
12 200140
13 201530
14 200428
15 201421
16 198520
17 200818
18 199514
19 198914
20 200014

About Ulises Alvarez

Ulises Alvarez is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Rheumatology, Cell Biology and Immunology and Allergy, having authored 24 papers that have together received 1.6k indexed citations. Recurring topics across this work include Bone Metabolism and Diseases (6 papers), Bone and Dental Protein Studies (5 papers), Kidney Stones and Urolithiasis Treatments (4 papers), Ultrasound and Cavitation Phenomena (4 papers), Cell Adhesion Molecules Research (4 papers), Cellular Mechanics and Interactions (3 papers), Microbial Inactivation Methods (3 papers) and Ion channel regulation and function (3 papers). The work is most often cited by research in Immunology and Allergy (232 citations), Rheumatology (300 citations), Oncology (444 citations), Cell Biology (258 citations) and Hematology (155 citations). Ulises Alvarez has collaborated with scholars based in United States, Mexico and Japan. Frequent co-authors include Keith A. Hruska, Meenakshi A. Chellaiah, Toshifumi Sugatani, N. Kizer, David J. Kwiatkowski, Matthew J. Silva, Chamberlain I. Obialo, Raúl G. Carlini, Norihito Soga and Adriana Dusso. Their work appears in journals such as Journal of Biological Chemistry, Shock Waves, Journal of Endourology, Innovative Food Science & Emerging Technologies and Endocrinology.

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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