Diego Balboa

2.2k total citations
37 papers, 1.2k citations indexed

About

Diego Balboa is a scholar working on Molecular Biology, Surgery and Genetics. According to data from OpenAlex, Diego Balboa has authored 37 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 21 papers in Surgery and 12 papers in Genetics. Recurrent topics in Diego Balboa's work include Pancreatic function and diabetes (20 papers), Pluripotent Stem Cells Research (15 papers) and CRISPR and Genetic Engineering (9 papers). Diego Balboa is often cited by papers focused on Pancreatic function and diabetes (20 papers), Pluripotent Stem Cells Research (15 papers) and CRISPR and Genetic Engineering (9 papers). Diego Balboa collaborates with scholars based in Finland, Spain and Sweden. Diego Balboa's co-authors include Timo Otonkoski, Ras Trokovic, Jere Weltner, Solja Eurola, Kirmo Wartiovaara, Jonna Saarimäki‐Vire, Jarkko Ustinov, Sanna Toivonen, Eeva‐Mari Jouhilahti and Shintaro Katayama and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and PLoS ONE.

In The Last Decade

Diego Balboa

34 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Diego Balboa Finland	20	832	451	320	146	104	37	1.2k
Gaoyang Liang United States	12	1.1k 1.4×	308 0.7×	151 0.5×	78 0.5×	71 0.7×	17	1.4k
Jennifer Hyoje-Ryu Kenty United States	11	590 0.7×	858 1.9×	443 1.4×	338 2.3×	15 0.1×	13	1.2k
Filippo M. Cernilogar Germany	16	720 0.9×	125 0.3×	149 0.5×	37 0.3×	97 0.9×	27	981
Xueping Xu United States	20	967 1.2×	122 0.3×	368 1.1×	41 0.3×	125 1.2×	42	1.4k
L. Marie Scearce United States	11	738 0.9×	150 0.3×	122 0.4×	57 0.4×	390 3.8×	13	1.0k
Sisi Lai China	8	479 0.6×	135 0.3×	209 0.7×	43 0.3×	53 0.5×	8	606
Magali Fradet France	10	623 0.7×	104 0.2×	54 0.2×	41 0.3×	63 0.6×	15	987
Yelena Dayn United States	6	647 0.8×	76 0.2×	288 0.9×	17 0.1×	87 0.8×	6	808
Aaron J. Huebner United States	16	684 0.8×	91 0.2×	108 0.3×	9 0.1×	59 0.6×	21	894

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-authorship network of co-authors of Diego Balboa

This figure shows the co-authorship network connecting the top 25 collaborators of Diego Balboa. A scholar is included among the top collaborators of Diego Balboa based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Diego Balboa. Diego Balboa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Saarimäki‐Vire, Jonna, Hossam Montaser, Väinö Lithovius, et al.. (2025). Stem-cell-derived beta cells mature metabolically upon murine engraftment. Diabetologia. 68(9). 1997–2010.

Kvist, Jouni, Masahito Yoshihara, Jere Weltner, et al.. (2025). Trophoblast stem cell derivation from naive and primed hPSC enables ELF5 functional analysis. Stem Cell Reports. 20(10). 102637–102637.

Lithovius, Väinö, Hazem Ibrahim, Jonna Saarimäki‐Vire, et al.. (2024). Non-invasive quantification of stem cell-derived islet graft size and composition. Diabetologia. 67(9). 1912–1929. 3 indexed citations

Monteuuis, Geoffray, Sachin Kumar Singh, Tuula A. Nyman, et al.. (2024). Supernumerary proteins of the human mitochondrial ribosomal small subunit are integral for assembly and translation. iScience. 27(7). 110185–110185. 2 indexed citations

Hjelmqvist, Daisy, Gunilla T. Westermark, Jonna Saarimäki‐Vire, et al.. (2024). Efficient Vascular and Neural Engraftment of Stem Cell–Derived Islets. Diabetes. 73(7). 1127–1139. 1 indexed citations

Lundin, Karolina, Sanna Vuoristo, Diego Balboa, et al.. (2022). Steroidogenic factor 1 (NR5A1) induces multiple transcriptional changes during differentiation of human gonadal-like cells. Differentiation. 128. 83–100. 8 indexed citations

Chandra, Vikash, Hazem Ibrahim, Rashmi B. Prasad, et al.. (2022). The type 1 diabetes gene TYK2 regulates β-cell development and its responses to interferon-α. Nature Communications. 13(1). 6363–6363. 32 indexed citations

Barsby, Tom, Hazem Ibrahim, Väinö Lithovius, et al.. (2022). Differentiating functional human islet-like aggregates from pluripotent stem cells. STAR Protocols. 3(4). 101711–101711. 23 indexed citations

Montaser, Hossam, Kashyap Patel, Diego Balboa, et al.. (2021). Loss of MANF Causes Childhood-Onset Syndromic Diabetes Due to Increased Endoplasmic Reticulum Stress. Diabetes. 70(4). 1006–1018. 46 indexed citations

10.

Balboa, Diego, et al.. (2021). Human Pluripotent Stem Cells to Model Islet Defects in Diabetes. Frontiers in Endocrinology. 12. 642152–642152. 34 indexed citations

11.

Lithovius, Väinö, Jonna Saarimäki‐Vire, Diego Balboa, et al.. (2021). SUR1-mutant iPS cell-derived islets recapitulate the pathophysiology of congenital hyperinsulinism. Diabetologia. 64(3). 630–640. 22 indexed citations

12.

Vuoristo, Sanna, Diego Balboa, Sara Trova, et al.. (2020). Characterization of the human GnRH neuron developmental transcriptome using a GNRH1 -TdTomato reporter line in human pluripotent stem cells. Disease Models & Mechanisms. 13(3). 19 indexed citations

13.

Konovalova, Svetlana, Xiaonan Liu, Yang Yang, et al.. (2018). Redox regulation of GRPEL2 nucleotide exchange factor for mitochondrial HSP70 chaperone. Redox Biology. 19. 37–45. 29 indexed citations

14.

Balboa, Diego, Jonna Saarimäki‐Vire, Päivi Lindholm, et al.. (2018). Insulin mutations impair beta-cell development in a patient-derived iPSC model of neonatal diabetes. eLife. 7. 114 indexed citations

15.

Weltner, Jere, Diego Balboa, Shintaro Katayama, et al.. (2018). Human pluripotent reprogramming with CRISPR activators. Nature Communications. 9(1). 2643–2643. 120 indexed citations

16.

Balboa, Diego, Jere Weltner, Yaning Wu, et al.. (2017). p73 is required for appropriate BMP-induced mesenchymal-to-epithelial transition during somatic cell reprogramming. Cell Death and Disease. 8(9). e3034–e3034. 18 indexed citations

17.

Närvä, Elisa, Aki Stubb, Camilo Guzmán, et al.. (2017). A Strong Contractile Actin Fence and Large Adhesions Direct Human Pluripotent Colony Morphology and Adhesion. Stem Cell Reports. 9(1). 67–76. 47 indexed citations

18.

Balboa, Diego, et al.. (2017). Generation of an OCT4 reporter human induced pluripotent stem cell line using CRISPR/SpCas9. Stem Cell Research. 23. 105–108. 5 indexed citations

19.

Nikkanen, Joni, Diego Balboa, Maarja Haugas, et al.. (2017). A complex genomic locus drives mt DNA replicase POLG expression to its disease‐related nervous system regions. EMBO Molecular Medicine. 10(1). 13–21. 6 indexed citations

20.

Toivonen, Sanna, Karolina Lundin, Diego Balboa, et al.. (2013). Activin A and Wnt-dependent specification of human definitive endoderm cells. Experimental Cell Research. 319(17). 2535–2544. 52 indexed citations

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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