Fernando Ugarte

2.5k total citations · 2 hit papers
32 papers, 1.7k citations indexed

About

Fernando Ugarte is a scholar working on Ecology, Molecular Biology and Atmospheric Science. According to data from OpenAlex, Fernando Ugarte has authored 32 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Ecology, 9 papers in Molecular Biology and 9 papers in Atmospheric Science. Recurrent topics in Fernando Ugarte's work include Marine animal studies overview (15 papers), Arctic and Antarctic ice dynamics (8 papers) and Hematopoietic Stem Cell Transplantation (6 papers). Fernando Ugarte is often cited by papers focused on Marine animal studies overview (15 papers), Arctic and Antarctic ice dynamics (8 papers) and Hematopoietic Stem Cell Transplantation (6 papers). Fernando Ugarte collaborates with scholars based in Greenland, United States and Denmark. Fernando Ugarte's co-authors include Tiu Similä, E. Camilla Forsberg, Malene Simon, Emmanuelle Passegué, Martin Bornhäuser, Morgan E. Diolaiti, Ciaran G. Morrison, Eric M. Pietras, Johanna Flach and Bradley A. Stohr and has published in prestigious journals such as Nature, Science and The EMBO Journal.

In The Last Decade

Fernando Ugarte

28 papers receiving 1.7k citations

Hit Papers

Replication stress is a potent driver of functional decli... 2014 2026 2018 2022 2014 2015 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fernando Ugarte Greenland 18 673 589 354 328 217 32 1.7k
Yoshihisa Mori Japan 28 800 1.2× 676 1.1× 122 0.3× 118 0.4× 92 0.4× 63 2.3k
Tor Knutsen Norway 32 632 0.9× 1.0k 1.8× 284 0.8× 350 1.1× 584 2.7× 97 3.3k
Peter Lunt United Kingdom 28 258 0.4× 1.6k 2.6× 104 0.3× 194 0.6× 182 0.8× 98 3.1k
Denis Roy Canada 20 647 1.0× 347 0.6× 43 0.1× 221 0.7× 106 0.5× 38 2.4k
Mariano Hernández Spain 28 355 0.5× 665 1.1× 85 0.2× 60 0.2× 80 0.4× 94 2.6k
Sergey I. Nikolaev Switzerland 25 559 0.8× 1.7k 2.8× 52 0.1× 79 0.2× 131 0.6× 53 2.4k
Kelly M. Robertson United States 32 1.8k 2.7× 734 1.2× 336 0.9× 18 0.1× 555 2.6× 75 2.7k
Katherine H. Kim United States 13 286 0.4× 276 0.5× 92 0.3× 21 0.1× 237 1.1× 33 924
Daniel P. Zitterbart Germany 20 472 0.7× 240 0.4× 117 0.3× 14 0.0× 251 1.2× 52 1.4k
Thomas Martin Germany 36 704 1.0× 241 0.4× 122 0.3× 92 0.3× 29 0.1× 168 3.6k

Countries citing papers authored by Fernando Ugarte

Since Specialization
Citations

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

Fields of papers citing papers by Fernando Ugarte

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fernando Ugarte

This figure shows the co-authorship network connecting the top 25 collaborators of Fernando Ugarte. A scholar is included among the top collaborators of Fernando Ugarte 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 Fernando Ugarte. Fernando Ugarte 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.
Hansen, Rikke G., Eric V. Regehr, Jon Aars, et al.. (2026). First abundance estimate for the east Greenland polar bear subpopulation. Endangered Species Research. 59. 1–18. 1 indexed citations
2.
Jourdain, Eve, Sebastian Bonhoeffer, Katrine Borgå, et al.. (2025). Kinship clustering within an ecologically diverse killer whale metapopulation. Heredity. 134(2). 109–119.
3.
Regehr, Eric V., et al.. (2025). International consensus principles for the sustainable harvest of polar bears. Conservation Biology. 39(4). e70010–e70010. 2 indexed citations
4.
Dolman, Sarah J., et al.. (2024). A review of small cetacean hunts in Greenland. Marine Policy. 170. 106401–106401.
5.
Garroway, Colin J., Andrew D. Foote, Cory J. D. Matthews, et al.. (2024). Climate change introduces threatened killer whale populations and conservation challenges to the Arctic. Global Change Biology. 30(6). e17352–e17352. 6 indexed citations
6.
Laidre, Kristin L., Megan A. Supple, Erik W. Born, et al.. (2022). Glacial ice supports a distinct and undocumented polar bear subpopulation persisting in late 21st-century sea-ice conditions. Science. 376(6599). 1333–1338. 35 indexed citations
7.
Farhy, Chen, Santosh Hariharan, Jarkko Ylanko, et al.. (2019). Improving drug discovery using image-based multiparametric analysis of the epigenetic landscape. eLife. 8. 18 indexed citations
8.
Ugarte, Fernando, Bertrand Cinquin, Eric W. Martin, et al.. (2015). Progressive Chromatin Condensation and H3K9 Methylation Regulate the Differentiation of Embryonic and Hematopoietic Stem Cells. Stem Cell Reports. 5(5). 728–740. 88 indexed citations
9.
Flach, Johanna, Sietske T. Bakker, Mary Mohrin, et al.. (2014). Replication stress is a potent driver of functional decline in ageing haematopoietic stem cells. Nature. 512(7513). 198–202. 466 indexed citations breakdown →
10.
Ugarte, Fernando & E. Camilla Forsberg. (2013). Haematopoietic stem cell niches: new insights inspire new questions. The EMBO Journal. 32(19). 2535–2547. 47 indexed citations
11.
12.
Smith‐Berdan, Stephanie, Andrew Nguyen, Matthew Zimmer, et al.. (2011). Robo4 Cooperates with Cxcr4 to Specify Hematopoietic Stem Cell Localization to Bone Marrow Niches. Cell stem cell. 8(1). 72–83. 105 indexed citations
13.
Simon, Malene, et al.. (2010). Passive acoustic monitoring of bottlenose dolphin and harbour porpoise, in Cardigan Bay, Wales, with implications for habitat use and partitioning. Journal of the Marine Biological Association of the United Kingdom. 90(8). 1539–1545. 49 indexed citations
14.
Jacobi, Angela, Sebastian Thieme, Fernando Ugarte, et al.. (2009). Impact of CXCR4 inhibition on FLT3-ITD−positive human AML blasts. Experimental Hematology. 38(3). 180–190. 33 indexed citations
15.
Ugarte, Fernando, et al.. (2009). Notch signaling enhances osteogenic differentiation while inhibiting adipogenesis in primary human bone marrow stromal cells. Experimental Hematology. 37(7). 867–875.e1. 99 indexed citations
16.
Ryser, Martin, et al.. (2008). mRNA Transfection of CXCR4-GFP Fusion—Simply Generated by PCR—Results in Efficient Migration of Primary Human Mesenchymal Stem Cells. Tissue Engineering Part C Methods. 14(3). 179–184. 30 indexed citations
18.
Ugarte, Fernando, Martin Ryser, Sebastian Thieme, Martin Bornhaeuser, & Sebastian Brenner. (2007). Role of Jagged/Notch Signaling in the Cell Fate Determination of Bone Marrow Human Mesenchymal Stem Cells.. Blood. 110(11). 1923–1923.
19.
Simon, Malene, Magnus Wahlberg, Fernando Ugarte, & Lee A. Miller. (2005). Acoustic characteristics of underwater tail slaps used by Norwegian and Icelandic killer whales (Orcinus orca) to debilitate herring(Clupea harengus). Journal of Experimental Biology. 208(12). 2459–2466. 37 indexed citations
20.
Wagner, Gorm, P. Bondil, John Dean, et al.. (2005). Ethical Aspects of Sexual Medicine. The Journal of Sexual Medicine. 2(2). 163–168. 15 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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