Peter Jordan

4.8k total citations
100 papers, 4.0k citations indexed

About

Peter Jordan is a scholar working on Molecular Biology, Cancer Research and Pathology and Forensic Medicine. According to data from OpenAlex, Peter Jordan has authored 100 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Molecular Biology, 17 papers in Cancer Research and 15 papers in Pathology and Forensic Medicine. Recurrent topics in Peter Jordan's work include RNA Research and Splicing (22 papers), Protein Kinase Regulation and GTPase Signaling (15 papers) and RNA modifications and cancer (11 papers). Peter Jordan is often cited by papers focused on RNA Research and Splicing (22 papers), Protein Kinase Regulation and GTPase Signaling (15 papers) and RNA modifications and cancer (11 papers). Peter Jordan collaborates with scholars based in Portugal, United States and United Kingdom. Peter Jordan's co-authors include Maria Carmo‐Fonseca, Paulo Matos, Vânia Gonçalves, Fátima Verı́ssimo, Sónia Moniz, Eric Chastre, Christian Gespach, Maria Guida Boavida, John G. Collard and H. Vilter and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Journal of Neuroscience.

In The Last Decade

Peter Jordan

97 papers receiving 3.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter Jordan Portugal 35 2.7k 716 512 415 368 100 4.0k
Ping Jiang China 34 2.4k 0.9× 798 1.1× 757 1.5× 470 1.1× 351 1.0× 182 4.4k
Barbara A. Hocevar United States 21 2.0k 0.7× 501 0.7× 353 0.7× 397 1.0× 180 0.5× 32 3.2k
Guichun Xing China 34 2.1k 0.8× 538 0.8× 354 0.7× 386 0.9× 219 0.6× 66 3.0k
Jenny L. Persson Sweden 33 2.0k 0.7× 677 0.9× 655 1.3× 287 0.7× 180 0.5× 85 3.3k
Qimin Zhan United States 24 2.4k 0.9× 1.5k 2.1× 637 1.2× 417 1.0× 273 0.7× 32 3.3k
Wolfgang Walther Germany 40 2.9k 1.1× 1.5k 2.1× 660 1.3× 155 0.4× 826 2.2× 155 4.8k
Tommaso A. Dragani Italy 36 2.6k 1.0× 781 1.1× 950 1.9× 195 0.5× 762 2.1× 189 4.2k
Giuseppina Nucifora United States 45 3.5k 1.3× 648 0.9× 476 0.9× 152 0.4× 578 1.6× 90 5.5k
Daniel C. Flynn United States 33 2.1k 0.8× 529 0.7× 526 1.0× 693 1.7× 129 0.4× 69 3.6k
Michel Lanotte France 36 4.7k 1.7× 729 1.0× 391 0.8× 262 0.6× 797 2.2× 80 5.7k

Countries citing papers authored by Peter Jordan

Since Specialization
Citations

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

Fields of papers citing papers by Peter Jordan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Jordan

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Jordan. A scholar is included among the top collaborators of Peter Jordan 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 Peter Jordan. Peter Jordan 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.
Rolo, Dora, Lídia Gonçalves, Ana Bettencourt, et al.. (2025). Assessing the impact of TiO2 nanomaterials on intestinal cells: New evidence for epithelial translocation and potential pro-inflammatory effects. Toxicology. 511. 154066–154066. 1 indexed citations
2.
Gulbronson, Connor J., Peter Jordan, Baskar Ramdas, et al.. (2025). Multiplex imaging of murine bone marrow using Phenocycler 2.0™. Leukemia. 39(6). 1476–1489.
3.
Song, Yin, Peter Jordan, John K. Brunson, et al.. (2024). Substrate interactions guide cyclase engineering and lasso peptide diversification. Nature Chemical Biology. 21(3). 412–419. 17 indexed citations
4.
5.
Jordan, Peter, et al.. (2018). Prolonged co-treatment with HGF sustains epithelial integrity and improves pharmacological rescue of Phe508del-CFTR. Scientific Reports. 8(1). 13026–13026. 20 indexed citations
6.
Farinha, Carlos M., Agnieszka Swiatecka‐Urban, David L. Brautigan, & Peter Jordan. (2016). Regulatory Crosstalk by Protein Kinases on CFTR Trafficking and Activity. Frontiers in Chemistry. 4. 1–1. 31 indexed citations
7.
Gonçalves, Vânia, Eugénia Pinto, Francisco Laranjeira, et al.. (2015). Functional analysis of splicing mutations in the IDS gene and the use of antisense oligonucleotides to exploit an alternative therapy for MPS II. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1852(12). 2712–2721. 13 indexed citations
8.
Matos, Paulo & Peter Jordan. (2015). Beyond Cox-Inhibition: ‘Side-Effects’ of Ibuprofen on Neoplastic Development and Progression. Current Pharmaceutical Design. 21(21). 2978–2982. 23 indexed citations
9.
Costa, Ângela M., Filipe Pinto, Olga Martinho, et al.. (2014). Silencing of WNK2 is associated with upregulation of MMP2 and JNK in gliomas. Oncotarget. 6(3). 1422–1434. 23 indexed citations
10.
Gonçalves, Vânia, Ana Neves‐Costa, Mary Pat Moyer, et al.. (2014). Phosphorylation of SRSF1 by SRPK1 regulates alternative splicing of tumor-related Rac1b in colorectal cells. RNA. 20(4). 474–482. 87 indexed citations
11.
Pinner, Sophie, Peter Jordan, Kirsty Sharrock, et al.. (2009). Intravital Imaging Reveals Transient Changes in Pigment Production and Brn2 Expression during Metastatic Melanoma Dissemination. Cancer Research. 69(20). 7969–7977. 160 indexed citations
12.
Gonçalves, Vânia, Paulo Matos, & Peter Jordan. (2008). The β-catenin/TCF4 pathway modifies alternative splicing through modulation of SRp20 expression. RNA. 14(12). 2538–2549. 56 indexed citations
14.
Gonçalves, Vânia, et al.. (2008). A missense mutation in the APC tumor suppressor gene disrupts an ASF/SF2 splicing enhancer motif and causes pathogenic skipping of exon 14. Mutation research. Fundamental and molecular mechanisms of mutagenesis. 662(1-2). 33–36. 16 indexed citations
15.
Matos, Paulo, Carla Oliveíra, Sérgia Velho, et al.. (2008). B-RafV600E Cooperates With Alternative Spliced Rac1b to Sustain Colorectal Cancer Cell Survival. Gastroenterology. 135(3). 899–906. 61 indexed citations
16.
Moniz, Sónia, Fátima Verı́ssimo, Paulo Matos, et al.. (2007). Protein kinase WNK2 inhibits cell proliferation by negatively modulating the activation of MEK1/ERK1/2. Oncogene. 26(41). 6071–6081. 64 indexed citations
17.
Brusgaard, Klaus, et al.. (2006). Molecular genetic analysis of 1053 Danish individuals with clinical signs of familial hypercholesterolemia. Clinical Genetics. 69(3). 277–283. 15 indexed citations
18.
Matos, Paulo & Peter Jordan. (2005). Expression of Rac1b stimulates NF-κB-mediated cell survival and G1/S progression. Experimental Cell Research. 305(2). 292–299. 55 indexed citations
19.
Clarke, Luka A., Peter Jordan, & Maria Guida Boavida. (2000). Cell type specificity in alternative splicing of the human mismatch repair gene hMSH2. European Journal of Human Genetics. 8(5). 347–352. 6 indexed citations
20.
Jordan, Peter & H. Vilter. (1990). Native bromoperoxidases do not bind to nitrocellulose: Use of DEAE‐cellulose as an alternative in blotting. Electrophoresis. 11(8). 653–655. 10 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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