Alexander Martinez‐Fundichely

18.2k total citations
14 papers, 309 citations indexed

About

Alexander Martinez‐Fundichely is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Alexander Martinez‐Fundichely has authored 14 papers receiving a total of 309 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Genetics and 5 papers in Cancer Research. Recurrent topics in Alexander Martinez‐Fundichely's work include Cancer Genomics and Diagnostics (5 papers), Genomic variations and chromosomal abnormalities (5 papers) and Genomics and Chromatin Dynamics (4 papers). Alexander Martinez‐Fundichely is often cited by papers focused on Cancer Genomics and Diagnostics (5 papers), Genomic variations and chromosomal abnormalities (5 papers) and Genomics and Chromatin Dynamics (4 papers). Alexander Martinez‐Fundichely collaborates with scholars based in United States, Israel and Spain. Alexander Martinez‐Fundichely's co-authors include Ekta Khurana, Tuan Trieu, Mario Cáceres, Eric Minwei Liu, Priyanka Dhingra, Marta Puig, Arif Harmanci, Lucas Lochovsky, Mark Gerstein and Shaoke Lou and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Alexander Martinez‐Fundichely

13 papers receiving 309 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alexander Martinez‐Fundichely United States 10 233 115 108 35 27 14 309
Roberto Tirado-Magallanes Singapore 10 362 1.6× 71 0.6× 79 0.7× 54 1.5× 41 1.5× 10 449
Ryo Dairiki Japan 6 389 1.7× 72 0.6× 52 0.5× 25 0.7× 23 0.9× 7 442
Stas Volik United States 5 207 0.9× 169 1.5× 71 0.7× 72 2.1× 55 2.0× 7 315
Nicole M. Sayles United States 3 199 0.9× 62 0.5× 113 1.0× 24 0.7× 62 2.3× 3 306
Christine Lo United States 5 424 1.8× 89 0.8× 158 1.5× 21 0.6× 55 2.0× 14 505
Gabriele Migliorini United Kingdom 8 249 1.1× 76 0.7× 44 0.4× 40 1.1× 32 1.2× 10 342
Raymond Che United States 8 275 1.2× 48 0.4× 70 0.6× 16 0.5× 55 2.0× 8 315
Irina Kholodnyuk Sweden 10 195 0.8× 83 0.7× 60 0.6× 33 0.9× 64 2.4× 18 278
Ryan J. Quinton United States 6 167 0.7× 31 0.3× 69 0.6× 29 0.8× 50 1.9× 9 270
Joanna Achinger-Kawecka Australia 11 528 2.3× 86 0.7× 164 1.5× 53 1.5× 62 2.3× 14 600

Countries citing papers authored by Alexander Martinez‐Fundichely

Since Specialization
Citations

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

Fields of papers citing papers by Alexander Martinez‐Fundichely

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alexander Martinez‐Fundichely. 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 Alexander Martinez‐Fundichely. The network helps show where Alexander Martinez‐Fundichely may publish in the future.

Co-authorship network of co-authors of Alexander Martinez‐Fundichely

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

All Works

14 of 14 papers shown
1.
Stangl‐Kremser, Judith, Alexander Martinez‐Fundichely, Michael Sun, et al.. (2025). Baseline Imaging Derived Factors of Response Following [225Ac]Ac‐J591 Therapy in Metastatic Castration‐Resistant Prostate Cancer: A Lesion Level Analysis. The Prostate. 85(5). 502–509. 1 indexed citations
2.
Giammartino, Dafne Campigli Di, James Nicholson, Stéfano M. Cirigliano, et al.. (2025). Three-dimensional regulatory hubs support oncogenic programs in glioblastoma. Molecular Cell. 85(7). 1330–1348.e6.
3.
Martinez‐Fundichely, Alexander, et al.. (2022). Modeling tissue-specific breakpoint proximity of structural variations from whole-genomes to identify cancer drivers. Nature Communications. 13(1). 5640–5640. 3 indexed citations
4.
Stangl‐Kremser, Judith, Luca Lambertini, Fabrizio Di Maida, et al.. (2022). Enhancing Recovery After Major Bladder Cancer Surgery: Comprehensive Review and Assessment of Application of the Enhanced Recovery After Surgery Guidelines. European Urology Focus. 8(6). 1622–1626. 9 indexed citations
5.
Aguiar‐Pulido, Vanessa, Alexander Martinez‐Fundichely, Eran Elhaik, et al.. (2021). Systems biology analysis of human genomes points to key pathways conferring spina bifida risk. Proceedings of the National Academy of Sciences. 118(51). 10 indexed citations
6.
Liu, Eric Minwei, et al.. (2020). CNCDatabase: a database of non-coding cancer drivers. Nucleic Acids Research. 49(D1). D1094–D1101. 4 indexed citations
7.
Trieu, Tuan, Alexander Martinez‐Fundichely, & Ekta Khurana. (2020). DeepMILO: a deep learning approach to predict the impact of non-coding sequence variants on 3D chromatin structure. Genome biology. 21(1). 79–79. 38 indexed citations
8.
Kumar, Sushant, Jonathan Warrell, Patrick D. McGillivray, et al.. (2020). Passenger Mutations in More Than 2,500 Cancer Genomes: Overall Molecular Functional Impact and Consequences. Cell. 180(5). 915–927.e16. 94 indexed citations
9.
Liu, Eric Minwei, Alexander Martinez‐Fundichely, Bianca J. Diaz, et al.. (2019). Identification of Cancer Drivers at CTCF Insulators in 1,962 Whole Genomes. Cell Systems. 8(5). 446–455.e8. 49 indexed citations
10.
Dhingra, Priyanka, Alexander Martinez‐Fundichely, Adeline Berger, et al.. (2017). Identification of novel prostate cancer drivers using RegNetDriver: a framework for integration of genetic and epigenetic alterations with tissue-specific regulatory network. Genome biology. 18(1). 21 indexed citations
11.
Puig, Marta, Magdalena Gayà‐Vidal, Sarai Pacheco, et al.. (2016). Detailed analysis of inversions predicted between two human genomes: errors, real polymorphisms, and their origin and population distribution. Human Molecular Genetics. 26(3). ddw415–ddw415. 13 indexed citations
12.
Aguado, Cristina, Magdalena Gayà‐Vidal, Sergi Villatoro, et al.. (2014). Validation and Genotyping of Multiple Human Polymorphic Inversions Mediated by Inverted Repeats Reveals a High Degree of Recurrence. PLoS Genetics. 10(3). e1004208–e1004208. 21 indexed citations
13.
Escaramís, Geòrgia, Cristian Tornador, Laia Bassaganyas, et al.. (2013). PeSV-Fisher: Identification of Somatic and Non-Somatic Structural Variants Using Next Generation Sequencing Data. PLoS ONE. 8(5). e63377–e63377. 15 indexed citations
14.
Martinez‐Fundichely, Alexander, Sònia Casillas, Raquel Egea, et al.. (2013). InvFEST, a database integrating information of polymorphic inversions in the human genome. Nucleic Acids Research. 42(D1). D1027–D1032. 31 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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2026