Daniel Hormaechea‐Agulla

971 total citations · 1 hit paper
12 papers, 579 citations indexed

About

Daniel Hormaechea‐Agulla is a scholar working on Molecular Biology, Endocrine and Autonomic Systems and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Daniel Hormaechea‐Agulla has authored 12 papers receiving a total of 579 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Endocrine and Autonomic Systems and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Daniel Hormaechea‐Agulla's work include Hematopoietic Stem Cell Transplantation (3 papers), Prostate Cancer Treatment and Research (3 papers) and Adipose Tissue and Metabolism (3 papers). Daniel Hormaechea‐Agulla is often cited by papers focused on Hematopoietic Stem Cell Transplantation (3 papers), Prostate Cancer Treatment and Research (3 papers) and Adipose Tissue and Metabolism (3 papers). Daniel Hormaechea‐Agulla collaborates with scholars based in Spain, United States and Poland. Daniel Hormaechea‐Agulla's co-authors include Katherine Y. King, Duy T. Le, Manuel D. Gahete, Justo P. Castaño, Raúl M. Luque, Katie A. Matatall, Marek Kimmel, Paweł Kuś, Bailee Kain and Roman Jaksik and has published in prestigious journals such as The FASEB Journal, Cell stem cell and Molecular Cancer.

In The Last Decade

Daniel Hormaechea‐Agulla

12 papers receiving 572 citations

Hit Papers

Chronic infection drives Dnmt3a-loss-of-function clonal h... 2021 2026 2022 2024 2021 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Chronic infection drives Dnmt3a-loss-of-function clonal hematopoiesis via IFNγ signaling
    2021 211 citations Daniel Hormaechea‐Agulla, Katie A. Matatall et al. Cell stem cell profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Hormaechea‐Agulla Spain 10 222 182 107 100 94 12 579
Gregory N. Adams United States 10 194 0.9× 126 0.7× 18 0.2× 135 1.4× 73 0.8× 15 550
Shilpa M. Hattangadi United States 7 451 2.0× 144 0.8× 111 1.0× 148 1.5× 65 0.7× 13 832
A. Merat Iran 14 167 0.8× 166 0.9× 40 0.4× 186 1.9× 51 0.5× 25 516
Amber C. Donahue United States 14 286 1.3× 92 0.5× 21 0.2× 122 1.2× 215 2.3× 22 583
Dorian LaTocha United States 13 238 1.1× 190 1.0× 44 0.4× 199 2.0× 261 2.8× 19 663
Brenda Finney United Kingdom 13 182 0.8× 236 1.3× 22 0.2× 50 0.5× 124 1.3× 18 645
Jean-Paul Beressi France 11 316 1.4× 131 0.7× 55 0.5× 75 0.8× 144 1.5× 20 1.2k
Emilie‐Fleur Gautier France 10 319 1.4× 127 0.7× 28 0.3× 118 1.2× 42 0.4× 21 588
Kathryn A. Tunny Australia 7 211 1.0× 32 0.2× 44 0.4× 41 0.4× 115 1.2× 8 528
Chantal Humblet Belgium 13 149 0.7× 66 0.4× 25 0.2× 51 0.5× 183 1.9× 35 460

Countries citing papers authored by Daniel Hormaechea‐Agulla

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Hormaechea‐Agulla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Hormaechea‐Agulla. 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 Daniel Hormaechea‐Agulla. The network helps show where Daniel Hormaechea‐Agulla may publish in the future.

Co-authorship network of co-authors of Daniel Hormaechea‐Agulla

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

All Works

12 of 12 papers shown
1.
Hormaechea‐Agulla, Daniel, Katie A. Matatall, Duy T. Le, et al.. (2021). Chronic infection drives Dnmt3a-loss-of-function clonal hematopoiesis via IFNγ signaling. Cell stem cell. 28(8). 1428–1442.e6. 211 indexed citations breakdown →
2.
Chen, Jichun, Katie A. Matatall, Xingmin Feng, et al.. (2020). Dnmt3a-null hematopoietic stem and progenitor cells expand after busulfan treatment. Experimental Hematology. 91. 39–45.e2. 6 indexed citations
3.
Hormaechea‐Agulla, Daniel, Duy T. Le, & Katherine Y. King. (2020). Common Sources of Inflammation and Their Impact on Hematopoietic Stem Cell Biology. Current Stem Cell Reports. 6(3). 96–107. 31 indexed citations
4.
Gómez‐Gómez, Enrique, Juan M. Jiménez‐Vacas, Sergio Pedraza‐Arévalo, et al.. (2019). Oncogenic Role of Secreted Engrailed Homeobox 2 (EN2) in Prostate Cancer. Journal of Clinical Medicine. 8(9). 1400–1400. 12 indexed citations
5.
Hormaechea‐Agulla, Daniel, Young‐Jo Kim, Min Sup Song, & Su Jung Song. (2018). New Insights into the Role of E2s in the Pathogenesis of Diseases: Lessons Learned from UBE2O.. PubMed. 41(3). 168–178. 37 indexed citations
6.
Hormaechea‐Agulla, Daniel, Manuel D. Gahete, Juan M. Jiménez‐Vacas, et al.. (2017). The oncogenic role of the In1-ghrelin splicing variant in prostate cancer aggressiveness. Molecular Cancer. 16(1). 146–146. 38 indexed citations
7.
Pedraza‐Arévalo, Sergio, Daniel Hormaechea‐Agulla, Enrique Gómez‐Gómez, et al.. (2017). Somatostatin receptor subtype 1 as a potential diagnostic marker and therapeutic target in prostate cancer. The Prostate. 77(15). 1499–1511. 30 indexed citations
8.
Hormaechea‐Agulla, Daniel, Juan M. Jiménez‐Vacas, Enrique Gómez‐Gómez, et al.. (2017). The oncogenic role of the spliced somatostatin receptor sst5TMD4 variant in prostate cancer. The FASEB Journal. 31(11). 4682–4696. 43 indexed citations
9.
Hormaechea‐Agulla, Daniel, Enrique Gómez‐Gómez, Alejandro Ibáñez‐Costa, et al.. (2016). Ghrelin O-acyltransferase (GOAT) enzyme is overexpressed in prostate cancer, and its levels are associated with patient's metabolic status: Potential value as a non-invasive biomarker. Cancer Letters. 383(1). 125–134. 29 indexed citations
10.
Luque, Raúl M., Alejandro Ibáñez‐Costa, Leonardo Vieira Neto, et al.. (2015). Truncated somatostatin receptor variant sst5TMD4 confers aggressive features (proliferation, invasion and reduced octreotide response) to somatotropinomas. Cancer Letters. 359(2). 299–306. 69 indexed citations
11.
Hormaechea‐Agulla, Daniel, Manuel D. Gahete, Alejandro Ibáñez‐Costa, et al.. (2015). 275 In1-ghrelin splicing variant is over-expressed in prostate cancer where it increases aggressiveness features. European Urology Supplements. 14(2). e275–e275. 1 indexed citations
12.
Gahete, Manuel D., David Rincon Fernandez Pacheco, Daniel Hormaechea‐Agulla, et al.. (2013). Ghrelin gene products, receptors, and GOAT enzyme: biological and pathophysiological insight. Journal of Endocrinology. 220(1). R1–R24. 72 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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