Bernat Soria

10.7k citations
187 papers · 7.8k indexed · 2 hit papers · h-index 48

Impact in

Papers in

Bernat Soria

185 papers receiving 7.6k citations

Hit Papers

Therapeutic Potential of Mesenchymal Stem Cells for Cancer Therapy 2020 · 248 citations
2482000202620082017200400600

Peers

Bernat Soria
Comparison fields: 5 of 135
  • Endocrinology, Diabetes and Metabolism 1.7k
  • Surgery 4.0k
  • Physiology 323
  • Genetics 1.9k
  • Genetics 603
Replace Gianfranco Alpini with:
Gianfranco Alpini United States
Lena Eliasson Sweden
Terry G. Unterman United States
Alberto Múñoz Spain
Zhaohui Feng United States
Lawrence Chan United States
Mathieu Laplante Canada
Stephen R. Farmer United States
Brian Zambrowicz United States
Gunnar Norstedt Sweden
Bernat Soria relative to Gianfranco Alpini United States Gianfranco Alpini's profile →
Citations per field
00.5×2.8×
Gianfranco Alpini · 1×
Citations per year

Countries citing papers authored by Bernat Soria

Since Specialization
Citations

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

Fields of papers citing papers by Bernat Soria

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20232
2 20215
3 20215
4 20219
5 20203
6 201912
7 201944
8 201929
9 201756
10 20149
11 201312
12 201230
13 20112
14 20062
15 2005235
16 200275
17 200122
18 200019
19 198624
20 19802

About Bernat Soria

Bernat Soria is a scholar working on Surgery, Physiology, Endocrinology, Diabetes and Metabolism, Genetics and Molecular Biology, having authored 187 papers that have together received 7.8k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (106 papers), Pluripotent Stem Cells Research (43 papers), Diabetes and associated disorders (24 papers), Metabolism, Diabetes, and Cancer (21 papers), Diabetes Management and Research (17 papers), CRISPR and Genetic Engineering (17 papers), Diet, Metabolism, and Disease (13 papers) and Ion channel regulation and function (12 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.7k citations), Surgery (4.0k citations), Physiology (323 citations), Genetics (1.9k citations) and Genetics (603 citations). Bernat Soria has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Franz Martı́n, Ángel Nadal, Iván Quesada, Juan A. Reig, Enrique Roche, Genoveva Berná, Abdelkrim Hmadcha, Trinidad León‐Quinto, Esther Fuentes and Ana B. Ropero. Their work appears in journals such as Diabetes, Advances in experimental medicine and biology, The Journal of Physiology, PLoS ONE and International Journal of Molecular Sciences.

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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