Anna Bigas

7.9k total citations · 1 hit paper
122 papers, 6.0k citations indexed

About

Anna Bigas is a scholar working on Molecular Biology, Cell Biology and Immunology. According to data from OpenAlex, Anna Bigas has authored 122 papers receiving a total of 6.0k indexed citations (citations by other indexed papers that have themselves been cited), including 94 papers in Molecular Biology, 33 papers in Cell Biology and 29 papers in Immunology. Recurrent topics in Anna Bigas's work include Zebrafish Biomedical Research Applications (31 papers), Epigenetics and DNA Methylation (29 papers) and Developmental Biology and Gene Regulation (24 papers). Anna Bigas is often cited by papers focused on Zebrafish Biomedical Research Applications (31 papers), Epigenetics and DNA Methylation (29 papers) and Developmental Biology and Gene Regulation (24 papers). Anna Bigas collaborates with scholars based in Spain, United States and United Kingdom. Anna Bigas's co-authors include Lluı́s Espinosa, Laurie A. Milner, Elaine Dzierzak, Julia Inglés‐Esteve, Alexandre Robert‐Moreno, Cristina Aguilera, David I. K. Martin, Jordi Guiu, Cristina Ruiz‐Herguido and Teresa D’Altri and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Anna Bigas

117 papers receiving 5.9k citations

Hit Papers

Mucus Enhances Gut Homeostasis and Oral Tolerance by Deli... 2013 2026 2017 2021 2013 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
Anna Bigas Spain 40 4.1k 1.2k 1.1k 1.0k 980 122 6.0k
Leigh Coultas Australia 24 4.3k 1.1× 1.1k 0.9× 793 0.7× 876 0.8× 1.3k 1.3× 34 5.9k
Carl R. Walkley Australia 40 5.0k 1.2× 1.7k 1.4× 727 0.7× 946 0.9× 1.0k 1.1× 110 7.3k
Noboru Motoyama Japan 36 5.1k 1.3× 1.8k 1.5× 746 0.7× 1.1k 1.1× 1.8k 1.8× 63 7.6k
Joerg Huelsken Switzerland 36 6.1k 1.5× 953 0.8× 1.3k 1.2× 996 1.0× 2.2k 2.2× 63 9.0k
Peter A. Greer Canada 46 3.5k 0.9× 992 0.8× 2.2k 2.0× 504 0.5× 814 0.8× 140 6.0k
Vundavalli V. Murty United States 40 4.4k 1.1× 939 0.8× 828 0.8× 1.3k 1.3× 1.9k 1.9× 109 7.2k
Hannes C. A. Drexler Germany 34 3.8k 0.9× 698 0.6× 717 0.7× 820 0.8× 909 0.9× 69 5.8k
Claudio Schneider Italy 43 4.4k 1.1× 1.4k 1.2× 826 0.8× 844 0.8× 1.2k 1.2× 79 6.4k
László G. Kömüves United States 44 4.1k 1.0× 1.2k 1.0× 1.0k 1.0× 670 0.6× 681 0.7× 69 6.3k
Hidemi Teramoto United States 26 3.9k 1.0× 781 0.6× 1.7k 1.6× 823 0.8× 1.0k 1.1× 38 6.3k

Countries citing papers authored by Anna Bigas

Since Specialization
Citations

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

Fields of papers citing papers by Anna Bigas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Bigas

This figure shows the co-authorship network connecting the top 25 collaborators of Anna Bigas. A scholar is included among the top collaborators of Anna Bigas 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 Anna Bigas. Anna Bigas 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.
Thambyrajah, Roshana, Sascha Jung, Eva Mejía-Ramírez, et al.. (2025). A Notch trans- activation to cis -inhibition switch underlies hematopoietic stem cell aging. Blood. 147(2). 164–179.
2.
Bray, Sarah J. & Anna Bigas. (2025). Modes of Notch signalling in development and disease. Nature Reviews Molecular Cell Biology. 26(7). 522–537. 3 indexed citations
3.
Suen, Chun-Wai, Fabio Pastorino, Susanne van den Brink, et al.. (2025). Dissecting infant leukemia developmental origins with a hemogenic gastruloid model. eLife. 14. 1 indexed citations
4.
Maqueda, María, Teresa Lobo‐Jarne, José Yélamos, et al.. (2025). NEMO is essential for directing the kinases IKKα and ATM to the sites of DNA damage. Science Signaling. 18(877). eadr0128–eadr0128. 2 indexed citations
5.
Bigas, Anna, et al.. (2024). Making Human Hematopoietic Stem Cells Without Transgenes. Cellular Reprogramming. 26(2). 43–45. 1 indexed citations
6.
Thambyrajah, Roshana, María Maqueda, Muhammad Zaki Hidayatullah Fadlullah, et al.. (2024). IκBα controls dormancy in hematopoietic stem cells via retinoic acid during embryonic development. Nature Communications. 15(1). 4673–4673. 4 indexed citations
7.
Thambyrajah, Roshana, María Maqueda, Wen Hao Neo, et al.. (2024). Cis inhibition of NOTCH1 through JAGGED1 sustains embryonic hematopoietic stem cell fate. Nature Communications. 15(1). 1604–1604. 12 indexed citations
8.
Boutros, Michael, Michaël Baumann, Anna Bigas, et al.. (2024). UNCAN.eu: Toward a European Federated Cancer Research Data Hub. Cancer Discovery. 14(1). 30–35. 2 indexed citations
9.
Thambyrajah, Roshana & Anna Bigas. (2022). Notch Signaling in HSC Emergence: When, Why and How. Cells. 11(3). 358–358. 21 indexed citations
10.
Romero–Moya, Damià, Oskar Marín-Béjar, Emilia J. Kozyra, et al.. (2022). GATA2 deficiency and MDS/AML: Experimental strategies for disease modelling and future therapeutic prospects. British Journal of Haematology. 199(4). 482–495. 18 indexed citations
11.
Liaño-Pons, Judit, M. Carmen Lafita‐Navarro, Javier Rodríguez, et al.. (2021). A novel role of MNT as a negative regulator of REL and the NF-κB pathway. Oncogenesis. 10(1). 5–5. 1 indexed citations
12.
Bonnin, Sarah, Carlos Martínez, Talía Velasco-Hernández, et al.. (2021). Distinct roles for PARP-1 and PARP-2 in c-Myc–driven B-cell lymphoma in mice. Blood. 139(2). 228–239. 24 indexed citations
13.
Vizán, Pedro, Arantxa Gutiérrez, Martin Lange, et al.. (2020). The Polycomb-associated factor PHF19 controls hematopoietic stem cell state and differentiation. Science Advances. 6(32). 23 indexed citations
14.
Islam, Abul Bashar Mir Md. Khademul, Edurne Gallastegui, Albert Jordan, et al.. (2017). p27Kip1, PCAF and PAX5 cooperate in the transcriptional regulation of specific target genes. Nucleic Acids Research. 45(9). 5086–5099. 15 indexed citations
15.
Sesé, Marta, Yolanda Fernández, Ibane Abasolo, et al.. (2014). Prostate tumor OVerexpressed-1 (PTOV1) down-regulates HES1 and HEY1 notch targets genes and promotes prostate cancer progression. Molecular Cancer. 13(1). 74–74. 30 indexed citations
16.
Shan, Meimei, Maurizio Gentile, A. Walland, et al.. (2013). Mucus Enhances Gut Homeostasis and Oral Tolerance by Delivering Immunoregulatory Signals. Science. 342(6157). 447–453. 473 indexed citations breakdown →
17.
Inglés‐Esteve, Julia, M.L González Morales, Alba Dalmases, et al.. (2012). Inhibition of Specific NF-κB Activity Contributes to the Tumor Suppressor Function of 14-3-3σ in Breast Cancer. PLoS ONE. 7(5). e38347–e38347. 25 indexed citations
18.
D’Altri, Teresa, Jéssica González, Iannis Aifantis, Lluı́s Espinosa, & Anna Bigas. (2011). Hes1 expression and CYLD repression are essential events downstream of Notch1 in T-cell leukemia. Cell Cycle. 10(7). 1031–1036. 30 indexed citations
19.
Espinosa, Lluı́s, Séverine Cathelin, Teresa D’Altri, et al.. (2010). The Notch/Hes1 Pathway Sustains NF-κB Activation through CYLD Repression in T Cell Leukemia. Cancer Cell. 18(3). 268–281. 214 indexed citations
20.
Bigas, Anna, et al.. (2006). Colonization capacity and serum bactericidal activity of Haemophilus parasuis thy mutants.. PubMed. 9(4). 297–301. 9 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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