Alba Font‐Tello

1.8k total citations
9 papers, 220 citations indexed

About

Alba Font‐Tello is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Alba Font‐Tello has authored 9 papers receiving a total of 220 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Pulmonary and Respiratory Medicine and 4 papers in Cancer Research. Recurrent topics in Alba Font‐Tello's work include Prostate Cancer Treatment and Research (4 papers), Cancer, Lipids, and Metabolism (3 papers) and Estrogen and related hormone effects (2 papers). Alba Font‐Tello is often cited by papers focused on Prostate Cancer Treatment and Research (4 papers), Cancer, Lipids, and Metabolism (3 papers) and Estrogen and related hormone effects (2 papers). Alba Font‐Tello collaborates with scholars based in United States, Spain and Netherlands. Alba Font‐Tello's co-authors include Silvia de Muga, Josep Lloreta, Marta Lorenzo, Núria Juanpere, Lluís Fumadó, Laia Serrano, Sílvia Hernández, Henry W. Long, Sérgio Serrano and Myles Brown and has published in prestigious journals such as Blood, Cancer Research and Nature Protocols.

In The Last Decade

Alba Font‐Tello

9 papers receiving 218 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alba Font‐Tello United States 8 128 88 64 54 33 9 220
Luigi Mazzeo United States 8 105 0.8× 73 0.8× 25 0.4× 111 2.1× 27 0.8× 12 402
Nina Struve Germany 9 106 0.8× 43 0.5× 38 0.6× 70 1.3× 11 0.3× 19 194
Jordan M. Blum United States 5 92 0.7× 74 0.8× 37 0.6× 68 1.3× 10 0.3× 6 188
Eugenia Cordero Sweden 6 131 1.0× 26 0.3× 38 0.6× 69 1.3× 19 0.6× 9 211
Jianjun Xiao China 9 89 0.7× 72 0.8× 75 1.2× 115 2.1× 24 0.7× 16 222
Frank Ziemann Germany 8 121 0.9× 57 0.6× 58 0.9× 113 2.1× 31 0.9× 10 259
Erin M. Garfield United States 6 104 0.8× 26 0.3× 31 0.5× 149 2.8× 28 0.8× 9 199
Zhuming Lu China 8 163 1.3× 54 0.6× 128 2.0× 59 1.1× 18 0.5× 13 261
Jolijn W. Groeneweg Netherlands 10 162 1.3× 42 0.5× 71 1.1× 98 1.8× 8 0.2× 22 311
Annelies Gonnissen Belgium 7 288 2.3× 64 0.7× 38 0.6× 123 2.3× 17 0.5× 7 335

Countries citing papers authored by Alba Font‐Tello

Since Specialization
Citations

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

Fields of papers citing papers by Alba Font‐Tello

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alba Font‐Tello. 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 Alba Font‐Tello. The network helps show where Alba Font‐Tello may publish in the future.

Co-authorship network of co-authors of Alba Font‐Tello

This figure shows the co-authorship network connecting the top 25 collaborators of Alba Font‐Tello. A scholar is included among the top collaborators of Alba Font‐Tello 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 Alba Font‐Tello. Alba Font‐Tello 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.
Lyubetskaya, Anna, Brian Rabe, Andrew Fisher, et al.. (2022). Assessment of spatial transcriptomics for oncology discovery. Cell Reports Methods. 2(11). 100340–100340. 23 indexed citations
2.
Shah, Neel, Nikolas Kesten, Alba Font‐Tello, et al.. (2020). ERG-Mediated Coregulator Complex Formation Maintains Androgen Receptor Signaling in Prostate Cancer. Cancer Research. 80(21). 4612–4619. 11 indexed citations
3.
Font‐Tello, Alba, Nikolas Kesten, Yingtian Xie, et al.. (2020). FiTAc-seq: fixed-tissue ChIP-seq for H3K27ac profiling and super-enhancer analysis of FFPE tissues. Nature Protocols. 15(8). 2503–2518. 22 indexed citations
4.
Lazarian, Grégory, Shanye Yin, Elisa ten Hacken, et al.. (2019). B Cell Restricted Expression of Mutated IKZF3 modulates BCR Signaling and Homing Pathways in a Mouse Model of CLL. Blood. 134(Supplement_1). 848–848. 1 indexed citations
5.
Lloreta, Josep, Alba Font‐Tello, Núria Juanpere, et al.. (2017). FOXO1 down-regulation is associated with worse outcome in bladder cancer and adds significant prognostic information to p53 overexpression. Human Pathology. 62. 222–231. 17 indexed citations
6.
Dreijerink, Koen M.A., Anna C. Groner, Alba Font‐Tello, et al.. (2017). Enhancer-Mediated Oncogenic Function of the Menin Tumor Suppressor in Breast Cancer. Cell Reports. 18(10). 2359–2372. 61 indexed citations
7.
Juanpere, Núria, Silvia de Muga, Marta Lorenzo, et al.. (2017). ERG overexpression plus SLC45A3 (prostein) and PTEN expression loss: Strong association of the triple hit phenotype with an aggressive pathway of prostate cancer progression. Oncotarget. 8(43). 74106–74118. 16 indexed citations
8.
Hernández, Sílvia, Alba Font‐Tello, Núria Juanpere, et al.. (2016). ConcurrentTMPRSS2-ERGandSLC45A3-ERGrearrangements plusPTENloss are not found in low grade prostate cancer and define an aggressive tumor subset. The Prostate. 76(9). 854–865. 16 indexed citations
9.
Font‐Tello, Alba, Núria Juanpere, Silvia de Muga, et al.. (2015). Association of ERG and TMPRSS2‐ERG with grade, stage, and prognosis of prostate cancer is dependent on their expression levels. The Prostate. 75(11). 1216–1226. 53 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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