Jere Weltner

1.3k total citations
29 papers, 872 citations indexed

About

Jere Weltner is a scholar working on Molecular Biology, Genetics and Surgery. According to data from OpenAlex, Jere Weltner has authored 29 papers receiving a total of 872 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 7 papers in Genetics and 3 papers in Surgery. Recurrent topics in Jere Weltner's work include Pluripotent Stem Cells Research (19 papers), CRISPR and Genetic Engineering (16 papers) and Epigenetics and DNA Methylation (4 papers). Jere Weltner is often cited by papers focused on Pluripotent Stem Cells Research (19 papers), CRISPR and Genetic Engineering (16 papers) and Epigenetics and DNA Methylation (4 papers). Jere Weltner collaborates with scholars based in Finland, Sweden and Japan. Jere Weltner's co-authors include Timo Otonkoski, Ras Trokovic, Diego Balboa, Kirmo Wartiovaara, Solja Eurola, Eeva‐Mari Jouhilahti, Shintaro Katayama, Juha Kere, Aija Kyttälä and Anu Jalanko and has published in prestigious journals such as Nature Communications, PLoS ONE and Nature Cell Biology.

In The Last Decade

Jere Weltner

28 papers receiving 866 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jere Weltner Finland 15 778 127 115 110 75 29 872
Jian-Chien Dominic Heng Singapore 7 990 1.3× 124 1.0× 133 1.2× 140 1.3× 59 0.8× 7 1.1k
Kathryn Koszka United States 8 777 1.0× 77 0.6× 131 1.1× 111 1.0× 72 1.0× 8 979
Rodrigo Osorno United Kingdom 10 1.1k 1.4× 105 0.8× 103 0.9× 110 1.0× 40 0.5× 11 1.1k
Courtney S. Young United States 12 862 1.1× 216 1.7× 68 0.6× 152 1.4× 58 0.8× 20 991
Haruko Nakano United States 16 809 1.0× 107 0.8× 77 0.7× 163 1.5× 80 1.1× 34 1.1k
Katarzyna Tilgner United Kingdom 14 993 1.3× 96 0.8× 63 0.5× 111 1.0× 42 0.6× 17 1.1k
Anne Cherry United States 7 757 1.0× 74 0.6× 96 0.8× 89 0.8× 54 0.7× 8 886
Doug Powers United States 2 952 1.2× 172 1.4× 176 1.5× 191 1.7× 58 0.8× 2 1.0k
Stephanie Wunderlich Germany 12 713 0.9× 100 0.8× 138 1.2× 175 1.6× 76 1.0× 18 851

Countries citing papers authored by Jere Weltner

Since Specialization
Citations

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

Fields of papers citing papers by Jere Weltner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jere Weltner

This figure shows the co-authorship network connecting the top 25 collaborators of Jere Weltner. A scholar is included among the top collaborators of Jere Weltner 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 Jere Weltner. Jere Weltner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
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.
2.
Yoshihara, Masahito, Mariangela Pucci, Haonan Li, et al.. (2025). Transcriptional enhancers in human neuronal differentiation provide clues to neuronal disorders. EMBO Reports. 26(5). 1212–1237. 2 indexed citations
3.
Gawriyski, Lisa, Xiaonan Liu, Qin Zhang, et al.. (2024). Interaction network of human early embryonic transcription factors. EMBO Reports. 25(3). 1589–1622. 5 indexed citations
4.
Weltner, Jere, Eeva‐Mari Jouhilahti, Tiina Skoog, et al.. (2024). Molecular cloning of PRD-like homeobox genes expressed in bovine oocytes and early IVF embryos. BMC Genomics. 25(1). 1048–1048. 3 indexed citations
5.
Kumar, B. Mohana, Carmen Navarro, Nerges Winblad, et al.. (2022). Polycomb repressive complex 2 shields naïve human pluripotent cells from trophectoderm differentiation. Nature Cell Biology. 24(6). 845–857. 36 indexed citations
6.
Yoshihara, Masahito, Jere Weltner, Karolina Lundin, et al.. (2022). Transient DUX4 expression in human embryonic stem cells induces blastomere-like expression program that is marked by SLC34A2. Stem Cell Reports. 17(7). 1743–1756. 18 indexed citations
7.
Weltner, Jere, Juha Rantala, Jaana Hagström, et al.. (2022). Cisplatin overcomes radiotherapy resistance in OCT4-expressing head and neck squamous cell carcinoma. Oral Oncology. 127. 105772–105772. 12 indexed citations
8.
Närvä, Elisa, Sérgio Lilla, Aleksi Isomursu, et al.. (2022). MASTL is enriched in cancerous and pluripotent stem cells and influences OCT1/OCT4 levels. iScience. 25(6). 104459–104459. 3 indexed citations
9.
Weltner, Jere & Ras Trokovic. (2020). Reprogramming of Fibroblasts to Human iPSCs by CRISPR Activators. Methods in molecular biology. 2239. 175–198. 6 indexed citations
10.
Weltner, Jere, Diego Balboa, Shintaro Katayama, et al.. (2018). Human pluripotent reprogramming with CRISPR activators. Nature Communications. 9(1). 2643–2643. 120 indexed citations
11.
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
12.
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
13.
Balboa, Diego, et al.. (2017). Generation of a SOX2 reporter human induced pluripotent stem cell line using CRISPR/SaCas9. Stem Cell Research. 22. 16–19. 14 indexed citations
14.
Kyttälä, Aija, Roksana Moraghebi, Cristina Valensisi, et al.. (2016). Genetic Variability Overrides the Impact of Parental Cell Type and Determines iPSC Differentiation Potential. Stem Cell Reports. 6(2). 200–212. 176 indexed citations
15.
Trokovic, Ras, Jere Weltner, & Timo Otonkoski. (2015). Generation of iPSC line HEL47.2 from healthy human adult fibroblasts. Stem Cell Research. 15(1). 263–265. 10 indexed citations
16.
Trokovic, Ras, Jere Weltner, & Timo Otonkoski. (2015). Generation of iPSC line HEL24.3 from human neonatal foreskin fibroblasts. Stem Cell Research. 15(1). 266–268. 28 indexed citations
17.
Trokovic, Ras, Jere Weltner, Parinya Noisa, Taneli Raivio, & Timo Otonkoski. (2015). Combined negative effect of donor age and time in culture on the reprogramming efficiency into induced pluripotent stem cells. Stem Cell Research. 15(1). 254–262. 55 indexed citations
18.
19.
Vuoristo, Sanna, Sanna Toivonen, Jere Weltner, et al.. (2013). A Novel Feeder-Free Culture System for Human Pluripotent Stem Cell Culture and Induced Pluripotent Stem Cell Derivation. PLoS ONE. 8(10). e76205–e76205. 23 indexed citations
20.
Trokovic, Ras, Jere Weltner, Tuula Manninen, et al.. (2012). Small Molecule Inhibitors Promote Efficient Generation of Induced Pluripotent Stem Cells From Human Skeletal Myoblasts. Stem Cells and Development. 22(1). 114–123. 34 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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