Ignasi Ramı́rez

1.2k citations
52 papers · 1.1k · h-index 21

Impact in

Papers in

Ignasi Ramı́rez

52 papers receiving 1.0k citations

Peers

Ignasi Ramı́rez
Comparison fields: 5 of 90
  • Endocrinology, Diabetes and Metabolism 266
  • Biochemistry 105
  • Behavioral Neuroscience 47
  • Physiology 311
  • Cardiology and Cardiovascular Medicine 235
Replace Maria Soley with:
Maria Soley Spain
C. Gelly France
Isabel Lladó Spain
Nathan Qi United States
Weidong Yin China
E. ROY SKINNER United Kingdom
Katsumi Iizuka Japan
Tomoyuki Honjo Japan
Toshiyuki Hibuse Japan
N. Moustaïd United States
Ignasi Ramı́rez relative to Maria Soley Spain Maria Soley's profile →
Citations per field
00.5×3.2×
Maria Soley · 1×
Citations per year

Countries citing papers authored by Ignasi Ramı́rez

Since Specialization
Citations

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

Fields of papers citing papers by Ignasi Ramı́rez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198583
2 200269
3 198359
4 199451
5 200345
6 198942
7 199640
8 200031
9 199431
10 198629
11 198828
12 200328
13 199227
14 198527
15 199526
16 199726
17 198926
18 200725
19 199324
20 199223

About Ignasi Ramı́rez

Ignasi Ramı́rez is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Surgery and Physiology, having authored 52 papers that have together received 1.1k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (12 papers), Lipid metabolism and disorders (10 papers), Adipose Tissue and Metabolism (9 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers), Glycosylation and Glycoproteins Research (7 papers), Diabetes Management and Research (5 papers), Liver physiology and pathology (5 papers) and Metabolism, Diabetes, and Cancer (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (266 citations), Biochemistry (105 citations), Behavioral Neuroscience (47 citations), Physiology (311 citations) and Cardiology and Cardiovascular Medicine (235 citations). Ignasi Ramı́rez has collaborated with scholars based in Spain, Canada and United States. Frequent co-authors include Maria Soley, Miquel Llobera, Francesc Tebar, Olga Sánchez, Senén Vilaró, D L Severson, Julia Peinado‐Onsurbe, Emílio Herrera, Montserrat Grau and Albert Kryski. Their work appears in journals such as Biochemical Journal, Endocrinology, Neonatology, Growth Factors and Journal of Physiology and Biochemistry.

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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