Christopher A. Penfold

2.9k total citations
32 papers, 902 citations indexed

About

Christopher A. Penfold is a scholar working on Molecular Biology, Plant Science and Surgery. According to data from OpenAlex, Christopher A. Penfold has authored 32 papers receiving a total of 902 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 9 papers in Plant Science and 5 papers in Surgery. Recurrent topics in Christopher A. Penfold's work include Pluripotent Stem Cells Research (12 papers), Gene Regulatory Network Analysis (8 papers) and CRISPR and Genetic Engineering (7 papers). Christopher A. Penfold is often cited by papers focused on Pluripotent Stem Cells Research (12 papers), Gene Regulatory Network Analysis (8 papers) and CRISPR and Genetic Engineering (7 papers). Christopher A. Penfold collaborates with scholars based in United Kingdom, Japan and United States. Christopher A. Penfold's co-authors include David L. Wild, Vicky Buchanan‐Wollaston, Katherine Denby, Thorsten Boroviak, M. Azim Surani, Walfred W. C. Tang, Laura Bowden, Andrew Mead, Jonathan D. Moore and Jim Beynon and has published in prestigious journals such as Nature, Nature Communications and Bioinformatics.

In The Last Decade

Christopher A. Penfold

32 papers receiving 898 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christopher A. Penfold United Kingdom 17 733 331 91 75 45 32 902
Jianrong Wang United States 17 475 0.6× 183 0.6× 76 0.8× 44 0.6× 25 0.6× 36 590
Jianbo Wang China 11 485 0.7× 119 0.4× 199 2.2× 22 0.3× 18 0.4× 20 697
Hideaki Konno Japan 11 525 0.7× 115 0.3× 115 1.3× 17 0.2× 33 0.7× 15 684
Emily Perry United Kingdom 5 387 0.5× 229 0.7× 231 2.5× 16 0.2× 37 0.8× 7 703
Gautier Koscielny United Kingdom 6 460 0.6× 73 0.2× 141 1.5× 46 0.6× 83 1.8× 7 634
Johanna Gassler Austria 7 981 1.3× 338 1.0× 124 1.4× 72 1.0× 26 0.6× 9 1.0k
Guoliang Yu China 9 739 1.0× 169 0.5× 114 1.3× 11 0.1× 15 0.3× 13 920
Ming-an Sun United States 14 487 0.7× 77 0.2× 118 1.3× 18 0.2× 17 0.4× 37 623
Praveen Sharma Norway 14 369 0.5× 138 0.4× 79 0.9× 20 0.3× 44 1.0× 31 692
Nicolae Radu Zabet United Kingdom 16 547 0.7× 261 0.8× 155 1.7× 12 0.2× 20 0.4× 34 701

Countries citing papers authored by Christopher A. Penfold

Since Specialization
Citations

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

Fields of papers citing papers by Christopher A. Penfold

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher A. Penfold. 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 Christopher A. Penfold. The network helps show where Christopher A. Penfold may publish in the future.

Co-authorship network of co-authors of Christopher A. Penfold

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher A. Penfold. A scholar is included among the top collaborators of Christopher A. Penfold 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 Christopher A. Penfold. Christopher A. Penfold 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.
Weberling, Antonia, et al.. (2024). Primitive to visceral endoderm maturation is essential for mouse epiblast survival beyond implantation. iScience. 28(1). 111671–111671. 1 indexed citations
2.
Penfold, Christopher A., Timo N. Kohler, Antonia Weberling, et al.. (2024). Marmoset and human trophoblast stem cells differ in signaling requirements and recapitulate divergent modes of trophoblast invasion. Cell stem cell. 31(10). 1427–1446.e8. 5 indexed citations
3.
Penfold, Christopher A., Kazuaki Kojima, Haruka Yabukami, et al.. (2023). mRNA-based generation of marmoset PGCLCs capable of differentiation into gonocyte-like cells. Stem Cell Reports. 18(10). 1987–2002. 6 indexed citations
4.
Penfold, Christopher A., Michael D. Morgan, Walfred W. C. Tang, et al.. (2023). Origin and segregation of the human germline. Life Science Alliance. 6(8). e202201706–e202201706. 23 indexed citations
5.
Oikawa, Mami, Hisato Kobayashi, Christopher A. Penfold, et al.. (2023). Rat post-implantation epiblast-derived pluripotent stem cells produce functional germ cells. Cell Reports Methods. 3(8). 100542–100542. 1 indexed citations
6.
Penfold, Christopher A., Charis Drummer, Stephen J. Clark, et al.. (2022). Spatial profiling of early primate gastrulation in utero. Nature. 609(7925). 136–143. 68 indexed citations
7.
Lawrence, Moyra, Susanne Bornelöv, Thomas Moreau, et al.. (2022). Mapping the biogenesis of forward programmed megakaryocytes from induced pluripotent stem cells. Science Advances. 8(7). eabj8618–eabj8618. 3 indexed citations
8.
Tomikawa, Junko, et al.. (2022). Nuclear transfer system for the direct induction of embryonic transcripts from intra- and cross-species nuclei using mouse 4-cell embryos. STAR Protocols. 3(2). 101284–101284. 1 indexed citations
9.
Penfold, Christopher A., et al.. (2022). A hexa-species transcriptome atlas of mammalian embryogenesis delineates metabolic regulation across three different implantation modes. Nature Communications. 13(1). 3407–3407. 26 indexed citations
10.
11.
Tomikawa, Junko, Christopher A. Penfold, Ayumi Kosaka, et al.. (2021). Cell division- and DNA replication-free reprogramming of somatic nuclei for embryonic transcription. iScience. 24(11). 103290–103290. 5 indexed citations
12.
Penfold, Christopher A., et al.. (2021). Building a stem cell-based primate uterus. Communications Biology. 4(1). 749–749. 18 indexed citations
13.
Kobayashi, Toshihiro, Christopher A. Penfold, Michael D. Morgan, et al.. (2021). Tracing the emergence of primordial germ cells from bilaminar disc rabbit embryos and pluripotent stem cells. Cell Reports. 37(2). 109812–109812. 45 indexed citations
14.
Penfold, Christopher A., Anastasiya Sybirna, John E. Reid, et al.. (2018). Branch-recombinant Gaussian processes for analysis of perturbations in biological time series. Bioinformatics. 34(17). i1005–i1013. 6 indexed citations
15.
Penfold, Christopher A., et al.. (2018). Inferring Gene Regulatory Networks from Multiple Datasets. Methods in molecular biology. 1883. 251–282. 2 indexed citations
16.
Huang, Yun, Jong Kim, Dang Vinh, et al.. (2017). Stella modulates transcriptional and endogenous retrovirus programs during maternal-to-zygotic transition. eLife. 6. 82 indexed citations
17.
Penfold, Christopher A. & Vicky Buchanan‐Wollaston. (2014). Modelling transcriptional networks in leaf senescence. Journal of Experimental Botany. 65(14). 3859–3873. 43 indexed citations
18.
Hickman, Richard, Claire Hill, Christopher A. Penfold, et al.. (2013). A local regulatory network around threeNACtranscription factors in stress responses and senescence inArabidopsis leaves. The Plant Journal. 75(1). 26–39. 168 indexed citations
19.
Penfold, Christopher A., Paul E. Brown, Neil D. Lawrence, & Alastair S. H. Goldman. (2012). Modeling Meiotic Chromosomes Indicates a Size Dependent Contribution of Telomere Clustering and Chromosome Rigidity to Homologue Juxtaposition. PLoS Computational Biology. 8(5). e1002496–e1002496. 18 indexed citations
20.
Penfold, Christopher A. & David L. Wild. (2011). How to infer gene networks from expression profiles, revisited. Interface Focus. 1(6). 857–870. 119 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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