Diego Balboa

2.2k citations
37 papers · 1.2k indexed · h-index 20

Impact in

  • Aging top 5%
    • Pluripotent Stem Cells Research
    • CRISPR and Genetic Engineering
    • RNA modifications and cancer

Papers in

Diego Balboa

34 papers receiving 1.1k citations

Peers

Diego Balboa
Comparison fields: 5 of 89
  • Aging 47
  • Molecular Biology 832
  • Genetics 320
  • Business and International Management 22
  • Surgery 451
Replace Sisi Lai with:
Sisi Lai China
Jennifer Hyoje-Ryu Kenty United States
Gaoyang Liang United States
Joël Rousseau Canada
Xueping Xu United States
Filippo M. Cernilogar Germany
Payam A. Gammage United Kingdom
Mary Kay Francis United States
Corinne Chadéneau France
Po-Lin So United States
Diego Balboa relative to Sisi Lai China Sisi Lai's profile →
Citations per field
00.5×3.3×
Sisi Lai · 1×
Citations per year

Countries citing papers authored by Diego Balboa

Since Specialization
Citations

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

Fields of papers citing papers by Diego Balboa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015147
2 2018120
3 2018114
4 2018106
5 201785
6 201352
7 201747
8 202146
9 201841
10 202134
11 202232
12 201829
13 202225
14 201924
15 202223
16 202223
17 201523
18 202122
19 201822
20 201522

About Diego Balboa

Diego Balboa is a scholar working on Aging, Surgery, Genetics, Molecular Biology and Endocrinology, Diabetes and Metabolism, having authored 37 papers that have together received 1.2k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (20 papers), Pluripotent Stem Cells Research (15 papers), CRISPR and Genetic Engineering (9 papers), Diabetes Management and Research (5 papers), Epigenetics and DNA Methylation (5 papers), Diabetes and associated disorders (5 papers), RNA modifications and cancer (4 papers) and MicroRNA in disease regulation (3 papers). The work is most often cited by research in Aging (47 citations), Molecular Biology (832 citations), Genetics (320 citations), Business and International Management (22 citations) and Surgery (451 citations). Diego Balboa has collaborated with scholars based in Finland, Spain and Sweden. Frequent co-authors include Timo Otonkoski, Jere Weltner, Ras Trokovic, Solja Eurola, Kirmo Wartiovaara, Jonna Saarimäki‐Vire, Jarkko Ustinov, Sanna Toivonen, Eeva‐Mari Jouhilahti and Juha Kere. Their work appears in journals such as Diabetologia, Diabetes, Stem Cell Reports, Nature Communications and Stem Cell Research.

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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