Borja Sáez

4.6k total citations
41 papers, 2.8k citations indexed

About

Borja Sáez is a scholar working on Molecular Biology, Hematology and Immunology. According to data from OpenAlex, Borja Sáez has authored 41 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 22 papers in Hematology and 9 papers in Immunology. Recurrent topics in Borja Sáez's work include Hematopoietic Stem Cell Transplantation (8 papers), Multiple Myeloma Research and Treatments (6 papers) and Acute Myeloid Leukemia Research (6 papers). Borja Sáez is often cited by papers focused on Hematopoietic Stem Cell Transplantation (8 papers), Multiple Myeloma Research and Treatments (6 papers) and Acute Myeloid Leukemia Research (6 papers). Borja Sáez collaborates with scholars based in United States, Spain and Germany. Borja Sáez's co-authors include David T. Scadden, Timothy A. Graubert, Ana Pardo–Saganta, Rushdia Z. Yusuf, David B. Sykes, Purushothama Rao Tata, Matthew J. Walter, Jayaraj Rajagopal, Brandon M. Law and Sumanprava Giri and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Borja Sáez

40 papers receiving 2.8k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Borja Sáez 1.7k 772 492 432 423 41 2.8k
Naoko Minegishi 1.4k 0.8× 907 1.2× 496 1.0× 394 0.9× 410 1.0× 74 2.7k
Carlijn Voermans 985 0.6× 780 1.0× 845 1.7× 252 0.6× 585 1.4× 73 2.7k
Karlheinz Holzmann 1.6k 0.9× 425 0.6× 575 1.2× 723 1.7× 406 1.0× 83 3.4k
Jin Yuan 1.4k 0.8× 557 0.7× 279 0.6× 271 0.6× 255 0.6× 71 2.5k
Kevin Barton 1.8k 1.1× 521 0.7× 1.0k 2.0× 384 0.9× 261 0.6× 50 3.2k
Masako Ohmura 1.8k 1.1× 1.3k 1.7× 774 1.6× 362 0.8× 678 1.6× 29 3.8k
Maria Luisa Sulis 2.2k 1.3× 764 1.0× 399 0.8× 367 0.8× 266 0.6× 52 3.2k
Kinuko Ohneda 1.5k 0.9× 503 0.7× 387 0.8× 442 1.0× 583 1.4× 64 2.7k
Susumu Goyama 1.8k 1.1× 1.5k 2.0× 416 0.8× 318 0.7× 430 1.0× 83 3.1k
Deniz Toksoz 1.8k 1.0× 463 0.6× 458 0.9× 204 0.5× 201 0.5× 49 2.9k

Countries citing papers authored by Borja Sáez

Since Specialization
Citations

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

Fields of papers citing papers by Borja Sáez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Borja Sáez

This figure shows the co-authorship network connecting the top 25 collaborators of Borja Sáez. A scholar is included among the top collaborators of Borja Sáez 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 Borja Sáez. Borja Sáez 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.
Maneix, Laure, Polina Iakova, Xuan Lu, et al.. (2024). Cyclophilin A supports translation of intrinsically disordered proteins and affects haematopoietic stem cell ageing. Nature Cell Biology. 26(4). 593–603. 11 indexed citations
2.
Calvo, Isabel A., Clemens Ruppert, Javier J. Zulueta, et al.. (2021). Notch3 Deficiency Attenuates Pulmonary Fibrosis and Impedes Lung-Function Decline. American Journal of Respiratory Cell and Molecular Biology. 64(4). 465–476. 29 indexed citations
3.
Ripalda‐Cemboráin, Purificación, Isabel A. Calvo, Borja Sáez, et al.. (2021). Molecular and Cellular Mechanisms of Delayed Fracture Healing in Mmp10 (Stromelysin 2) Knockout Mice. Journal of Bone and Mineral Research. 36(11). 2203–2213. 9 indexed citations
4.
Kfoury, Youmna, Fei Ji, Michael Mazzola, et al.. (2021). tiRNA signaling via stress-regulated vesicle transfer in the hematopoietic niche. Cell stem cell. 28(12). 2090–2103.e9. 29 indexed citations
5.
Czechowicz, Agnieszka, Rahul Palchaudhuri, Yu Hu, et al.. (2019). Selective hematopoietic stem cell ablation using CD117-antibody-drug-conjugates enables safe and effective transplantation with immunity preservation. Nature Communications. 10(1). 617–617. 132 indexed citations
6.
Nguyen, Hai Dang, Tribhuwan Yadav, Sumanprava Giri, et al.. (2017). Functions of Replication Protein A as a Sensor of R Loops and a Regulator of RNaseH1. Molecular Cell. 65(5). 832–847.e4. 205 indexed citations
7.
Yu, Vionnie W.C., Rushdia Z. Yusuf, Toshihiko Oki, et al.. (2016). Epigenetic Memory Underlies Cell-Autonomous Heterogeneous Behavior of Hematopoietic Stem Cells. Cell. 167(5). 1310–1322.e17. 145 indexed citations
8.
Pardo–Saganta, Ana, Brandon M. Law, Purushothama Rao Tata, et al.. (2015). Injury Induces Direct Lineage Segregation of Functionally Distinct Airway Basal Stem/Progenitor Cell Subpopulations. Cell stem cell. 16(2). 184–197. 151 indexed citations
9.
Pardo–Saganta, Ana, Purushothama Rao Tata, Brandon M. Law, et al.. (2015). Parent stem cells can serve as niches for their daughter cells. Nature. 523(7562). 597–601. 128 indexed citations
10.
Choi, Yoon Jong, Borja Sáez, Lars Anders, et al.. (2014). D-Cyclins Repress Apoptosis in Hematopoietic Cells by Controlling Death Receptor Fas and Its Ligand FasL. Developmental Cell. 30(3). 255–267. 23 indexed citations
11.
Sykes, Stephen M., Lars Bullinger, Rukh Yusuf, et al.. (2011). Akt/foxo signaling pathway enforces the differentiation blockade in myeloid leukemias. Experimental Hematology. 39(8). 1 indexed citations
12.
Sykes, Stephen M., Steven Lane, Lars Bullinger, et al.. (2011). AKT/FOXO Signaling Enforces Reversible Differentiation Blockade in Myeloid Leukemias. Cell. 147(1). 247–247. 2 indexed citations
13.
Sykes, Stephen M., Steven Lane, Lars Bullinger, et al.. (2011). AKT/FOXO Signaling Enforces Reversible Differentiation Blockade in Myeloid Leukemias. Cell. 146(5). 697–708. 217 indexed citations
14.
Gurumurthy, Sushma, Stephanie Z. Xie, Brinda Alagesan, et al.. (2010). The Lkb1 metabolic sensor maintains haematopoietic stem cell survival. Nature. 468(7324). 659–663. 295 indexed citations
15.
Agirre, Xabier, Antonio Jiménez‐Velasco, Edurne San José‐Eneriz, et al.. (2008). Down-Regulation of hsa-miR-10a in Chronic Myeloid Leukemia CD34+ Cells Increases USF2-Mediated Cell Growth. Molecular Cancer Research. 6(12). 1830–1840. 173 indexed citations
16.
Calasanz, Marı́a José, Reiner Siebert, Robert Schoch, et al.. (2007). Multicolor interphase cytogenetics for the study of plasma cell dyscrasias. Oncology Reports. 18(5). 1099–106. 4 indexed citations
17.
Sáez, Borja, José I. Martı́n-Subero, Idoya Lahortiga, et al.. (2007). Simultaneous translocations of FGFR3/MMSET and CCND1 into two different IGH alleles in multiple myeloma: lack of concurrent activation of both proto-oncogenes. Cancer Genetics and Cytogenetics. 175(1). 65.e1–65.e5. 2 indexed citations
18.
19.
Sáez, Borja, José I. Martı́n-Subero, Cristina Largo, et al.. (2006). Identification of recurrent chromosomal breakpoints in multiple myeloma with complex karyotypes by combined G-banding, spectral karyotyping, and fluorescence in situ hybridization analyses. Cancer Genetics and Cytogenetics. 169(2). 143–149. 10 indexed citations
20.
Lahortiga, Idoya, Elena Belloni, Iria Vázquez, et al.. (2005). NUP98 is fused to HOXA9 in a variant complex t(7;11;13;17) in a patient with AML-M2. Cancer Genetics and Cytogenetics. 157(2). 151–156. 4 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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