José M. Polo

14.9k total citations · 7 hit papers
110 papers, 8.6k citations indexed

About

José M. Polo is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, José M. Polo has authored 110 papers receiving a total of 8.6k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Molecular Biology, 18 papers in Oncology and 14 papers in Immunology. Recurrent topics in José M. Polo's work include Pluripotent Stem Cells Research (44 papers), CRISPR and Genetic Engineering (31 papers) and Renal and related cancers (14 papers). José M. Polo is often cited by papers focused on Pluripotent Stem Cells Research (44 papers), CRISPR and Genetic Engineering (31 papers) and Renal and related cancers (14 papers). José M. Polo collaborates with scholars based in Australia, United States and Canada. José M. Polo's co-authors include Konrad Hochedlinger, Ari Melnick, Matthias Stadtfeld, Warakorn Kulalert, Christian M. Nefzger, Ryan Walsh, Effie Apostolou, Leandro Cerchietti, Stella Maris Ranuncolo and Sridaran Natesan and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

José M. Polo

105 papers receiving 8.5k citations

Hit Papers

Cell type of origin influ... 2009 2026 2014 2020 2010 2009 2012 2011 2019 250 500 750
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. Cell type of origin influences the molecular and functional properties of mouse induced pluripotent stem cells
    2010 893 citations José M. Polo, Ari Melnick et al. profile →
  2. Immortalization eliminates a roadblock during cellular reprogramming into iPS cells
    2009 660 citations José M. Polo et al. profile →
  3. A Molecular Roadmap of Reprogramming Somatic Cells into iPS Cells
    2012 626 citations José M. Polo, Christian M. Nefzger et al. profile →
  4. Sox2+ Adult Stem and Progenitor Cells Are Important for Tissue Regeneration and Survival of Mice
    2011 581 citations José M. Polo et al. profile →
  5. A single-cell atlas of entorhinal cortex from individuals with Alzheimer’s disease reveals cell-type-specific gene expression regulation
    2019 555 citations Alexandra Grubman, Gabriel Chew et al. Nature Neuroscience profile →
  6. Class-Switch Recombination Occurs Infrequently in Germinal Centers
    2019 335 citations Christian M. Nefzger, José M. Polo et al. profile →
  7. Modelling human blastocysts by reprogramming fibroblasts into iBlastoids
    2021 240 citations Xiaodong Liu, Jia Ping Tan et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
José M. Polo Australia 41 6.2k 1.2k 1.1k 773 717 110 8.6k
Ling Liu China 37 4.6k 0.7× 863 0.7× 1.5k 1.4× 1.0k 1.4× 694 1.0× 137 7.0k
Urban Deutsch Germany 50 10.1k 1.6× 1.3k 1.1× 1.5k 1.4× 655 0.8× 919 1.3× 103 14.0k
Carol B. Ware United States 41 6.1k 1.0× 1.8k 1.6× 1.0k 1.0× 912 1.2× 826 1.2× 73 9.6k
Yasufumi Sato Japan 55 7.3k 1.2× 907 0.8× 1.8k 1.7× 500 0.6× 863 1.2× 261 11.1k
Mattia Forcato Italy 32 5.4k 0.9× 795 0.7× 1.8k 1.7× 722 0.9× 434 0.6× 63 10.3k
Charles Keller United States 36 4.3k 0.7× 349 0.3× 759 0.7× 983 1.3× 814 1.1× 148 6.6k
Duojia Pan United States 61 13.5k 2.2× 1.1k 0.9× 2.2k 2.1× 1.0k 1.3× 624 0.9× 90 21.1k
Hua Han China 47 5.0k 0.8× 2.0k 1.7× 1.1k 1.1× 337 0.4× 468 0.7× 185 7.9k
Jianrong Lu United States 44 8.3k 1.3× 675 0.6× 1.6k 1.5× 613 0.8× 689 1.0× 92 10.6k
Martı́n Montecino Chile 47 6.0k 1.0× 407 0.3× 1.2k 1.2× 283 0.4× 337 0.5× 200 7.7k

Countries citing papers authored by José M. Polo

Since Specialization
Citations

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

Fields of papers citing papers by José M. Polo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by José M. Polo. 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 José M. Polo. The network helps show where José M. Polo may publish in the future.

Co-authorship network of co-authors of José M. Polo

This figure shows the co-authorship network connecting the top 25 collaborators of José M. Polo. A scholar is included among the top collaborators of José M. Polo 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 José M. Polo. José M. Polo 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.
Gartner, Matthew J., Monique L. Smith, Clyde Dapat, et al.. (2025). Contemporary seasonal human coronaviruses display differences in cellular tropism compared to laboratory-adapted reference strains. Journal of Virology. 99(9). e0068425–e0068425. 1 indexed citations
2.
Davidson, Kathryn C., Min Kyung Sung, Karl David Brown, et al.. (2024). Single nuclei transcriptomics of the in situ human limbal stem cell niche. Scientific Reports. 14(1). 6749–6749. 3 indexed citations
3.
Tan, Jia Ping, Xiaodong Liu, & José M. Polo. (2024). Reprogramming fibroblast into human iBlastoids. Nature Protocols. 19(8). 2298–2316. 3 indexed citations
4.
Zhou, Jerry, Xiaodong Liu, Jan Schröder, et al.. (2023). Transcriptome and Proteome Profiling of Primary Human Gastric Interstitial Cells of Cajal Predicts Pacemaker Networks. Journal of Neurogastroenterology and Motility. 29(2). 238–249. 2 indexed citations
5.
Chen, Joseph, Jessica A. Neil, Jianping Tan, et al.. (2023). A placental model of SARS-CoV-2 infection reveals ACE2-dependent susceptibility and differentiation impairment in syncytiotrophoblasts. Nature Cell Biology. 25(8). 1223–1234. 20 indexed citations
6.
Geoghegan, Niall D., Monika Mohenska, Charles Ferguson, et al.. (2023). Apicobasal RNA asymmetries regulate cell fate in the early mouse embryo. Nature Communications. 14(1). 2909–2909. 10 indexed citations
7.
Manent, Jan, Jan Schroeder, Natalia A. Shylo, et al.. (2022). Nr6a1 controls Hox expression dynamics and is a master regulator of vertebrate trunk development. Nature Communications. 13(1). 7766–7766. 15 indexed citations
8.
Gerdes, Patricia, Sue Mei Lim, Adam D. Ewing, et al.. (2022). Retrotransposon instability dominates the acquired mutation landscape of mouse induced pluripotent stem cells. Nature Communications. 13(1). 7470–7470. 10 indexed citations
9.
Tan, Jia Ping, Xiaodong Liu, & José M. Polo. (2022). Establishment of human induced trophoblast stem cells via reprogramming of fibroblasts. Nature Protocols. 17(12). 2739–2759. 19 indexed citations
10.
Leinenga, Gerhard, Liviu‐Gabriel Bodea, Jan Schröder, et al.. (2022). Transcriptional signature in microglia isolated from an Alzheimer's disease mouse model treated with scanning ultrasound. Bioengineering & Translational Medicine. 8(1). e10329–e10329. 13 indexed citations
11.
Farkas, Carlos, Aissa Benyoucef, Catherine Carmichael, et al.. (2021). Interplay between the EMT transcription factors ZEB1 and ZEB2 regulates hematopoietic stem and progenitor cell differentiation and hematopoietic lineage fidelity. PLoS Biology. 19(9). e3001394–e3001394. 22 indexed citations
12.
Oikari, Lotta E., Rucha Pandit, Romal Stewart, et al.. (2020). Altered Brain Endothelial Cell Phenotype from a Familial Alzheimer Mutation and Its Potential Implications for Amyloid Clearance and Drug Delivery. Stem Cell Reports. 14(5). 924–939. 64 indexed citations
13.
Grubman, Alexandra, Gabriel Chew, John F. Ouyang, et al.. (2019). A single-cell atlas of entorhinal cortex from individuals with Alzheimer’s disease reveals cell-type-specific gene expression regulation. Nature Neuroscience. 22(12). 2087–2097. 555 indexed citations breakdown →
14.
Pflueger, Christian, Dennis Eng Kiat Tan, Tessa Swain, et al.. (2018). A modular dCas9-SunTag DNMT3A epigenome editing system overcomes pervasive off-target activity of direct fusion dCas9-DNMT3A constructs. Genome Research. 28(8). 1193–1206. 136 indexed citations
15.
Pastor, William A., Wanlu Liu, Di Chen, et al.. (2018). TFAP2C regulates transcription in human naive pluripotency by opening enhancers. Nature Cell Biology. 20(5). 553–564. 115 indexed citations
16.
La, Hue M., Juho‐Antti Mäkelä, Ai-Leen Chan, et al.. (2018). Identification of dynamic undifferentiated cell states within the male germline. Nature Communications. 9(1). 2819–2819. 76 indexed citations
17.
Horvay, Katja, Thierry Jardé, Franca Casagranda, et al.. (2015). Snai1 regulates cell lineage allocation and stem cell maintenance in the mouse intestinal epithelium. The EMBO Journal. 34(10). 1319–1335. 43 indexed citations
18.
Nefzger, Christian M., Sara Alaei, Anja S. Knaupp, Melissa L. Holmes, & José M. Polo. (2014). Cell Surface Marker Mediated Purification of iPS Cell Intermediates from a Reprogrammable Mouse Model. Journal of Visualized Experiments. 2 indexed citations
19.
Cerchietti, Leandro, José M. Polo, Gustavo Felippe da Silva, et al.. (2008). Sequential Transcription Factor Targeting for Diffuse Large B-Cell Lymphomas. Cancer Research. 68(9). 3361–3369. 25 indexed citations
20.
Parekh, Samir, José M. Polo, Rita Shaknovich, et al.. (2007). BCL6 programs lymphoma cells for survival and differentiation through distinct biochemical mechanisms. Blood. 110(6). 2067–2074. 105 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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