Azucena Ramos

2.1k total citations · 1 hit paper
9 papers, 1.2k citations indexed

About

Azucena Ramos is a scholar working on Hematology, Molecular Biology and Immunology. According to data from OpenAlex, Azucena Ramos has authored 9 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Hematology, 3 papers in Molecular Biology and 3 papers in Immunology. Recurrent topics in Azucena Ramos's work include Hematopoietic Stem Cell Transplantation (3 papers), Immune Cell Function and Interaction (2 papers) and Acute Myeloid Leukemia Research (1 paper). Azucena Ramos is often cited by papers focused on Hematopoietic Stem Cell Transplantation (3 papers), Immune Cell Function and Interaction (2 papers) and Acute Myeloid Leukemia Research (1 paper). Azucena Ramos collaborates with scholars based in United States, Switzerland and Italy. Azucena Ramos's co-authors include Fernando D. Camargo, Jonathan B. Johnnidis, Oliver Hofmann, Brad Chapman, Yu-Jui Ho, Jianlong Sun, Allon M. Klein, Michael T. Hemann, Graham C. Walker and Deyu Li and has published in prestigious journals such as Nature, Cell and SHILAP Revista de lepidopterología.

In The Last Decade

Azucena Ramos

8 papers receiving 1.2k citations

Hit Papers

Clonal dynamics of native haematopoiesis 2014 2026 2018 2022 2014 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Azucena Ramos United States 6 649 432 317 267 190 9 1.2k
Falak Helwani Australia 9 544 0.8× 600 1.4× 446 1.4× 411 1.5× 231 1.2× 12 1.5k
Riccardo Panero Italy 7 403 0.6× 324 0.8× 236 0.7× 160 0.6× 111 0.6× 8 810
Adlen Foudi France 17 872 1.3× 563 1.3× 378 1.2× 160 0.6× 304 1.6× 25 1.6k
Tong Yin China 7 836 1.3× 412 1.0× 254 0.8× 114 0.4× 352 1.9× 19 1.3k
Eeshit Dhaval Vaishnav United States 5 571 0.9× 261 0.6× 188 0.6× 113 0.4× 135 0.7× 5 968
Claudia Benz Canada 11 634 1.0× 584 1.4× 757 2.4× 155 0.6× 273 1.4× 14 1.5k
Michelle B. Bowie Canada 6 638 1.0× 862 2.0× 576 1.8× 218 0.8× 142 0.7× 6 1.4k
Atsushi Kunisato Japan 11 744 1.1× 220 0.5× 595 1.9× 279 1.0× 149 0.8× 15 1.3k
Jeffrey W. Schindler United States 9 934 1.4× 595 1.4× 381 1.2× 552 2.1× 279 1.5× 12 1.7k
Stephanie Smith‐Berdan United States 13 473 0.7× 319 0.7× 290 0.9× 100 0.4× 460 2.4× 18 1.1k

Countries citing papers authored by Azucena Ramos

Since Specialization
Citations

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

Fields of papers citing papers by Azucena Ramos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Azucena Ramos

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

All Works

9 of 9 papers shown
1.
Ham, James Dongjoo, Lan Nguyễn, Toni Delorey, et al.. (2023). Integrated multi-omics analyses reveal homology-directed repair pathway as a unique dependency in near-haploid leukemia. Blood Cancer Journal. 13(1). 92–92. 1 indexed citations
2.
Kyung, Taeyoon, Caleb R. Perez, Azucena Ramos, et al.. (2022). Screening for CD19-specific chimaeric antigen receptors with enhanced signalling via a barcoded library of intracellular domains. Nature Biomedical Engineering. 6(7). 855–866. 42 indexed citations
3.
Ramos, Azucena, et al.. (2022). Three Cases of Atypical Cutaneous Ovarian Metastases: A Single-Center Case Series. SHILAP Revista de lepidopterología. 1(9).
4.
Christodoulou, Constantina, Joel A. Spencer, Shu-Chi Yeh, et al.. (2020). Live-animal imaging of native haematopoietic stem and progenitor cells. Nature. 578(7794). 278–283. 172 indexed citations
5.
Wojtaszek, Jessica L., Nimrat Chatterjee, Javaria Najeeb, et al.. (2019). A Small Molecule Targeting Mutagenic Translesion Synthesis Improves Chemotherapy. Cell. 178(1). 152–159.e11. 131 indexed citations
6.
Sun, Jianlong, Azucena Ramos, Brad Chapman, et al.. (2014). Clonal dynamics of native haematopoiesis. Nature. 514(7522). 322–327. 574 indexed citations breakdown →
7.
Sun, Jianlong, Azucena Ramos, Brad Chapman, et al.. (2014). Declined Presentation. Experimental Hematology. 42(8). S27–S27. 2 indexed citations
8.
Ramos, Azucena & Fernando D. Camargo. (2012). The Hippo signaling pathway and stem cell biology. Trends in Cell Biology. 22(7). 339–346. 230 indexed citations
9.
Salazar-Páramo, Mario, et al.. (2002). Longitudinal study of antinuclear and anticardiolipin antibodies in pregnant women with systemic lupus erythematosus and antiphospholipid syndrome. Rheumatology International. 22(4). 142–147. 20 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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