Jonathan Frampton

1.9k total citations
27 papers, 1.4k citations indexed

About

Jonathan Frampton is a scholar working on Molecular Biology, Hematology and Cell Biology. According to data from OpenAlex, Jonathan Frampton has authored 27 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 11 papers in Hematology and 8 papers in Cell Biology. Recurrent topics in Jonathan Frampton's work include Platelet Disorders and Treatments (9 papers), Zebrafish Biomedical Research Applications (5 papers) and Cell Adhesion Molecules Research (4 papers). Jonathan Frampton is often cited by papers focused on Platelet Disorders and Treatments (9 papers), Zebrafish Biomedical Research Applications (5 papers) and Cell Adhesion Molecules Research (4 papers). Jonathan Frampton collaborates with scholars based in United Kingdom, United States and Spain. Jonathan Frampton's co-authors include Thomas Graf, Hille Tekotte, Michael H. Sieweke, Nikla Emambokus, Kelly M. McNagny, Gerard Brady, Michael L. Mucenski, Robert W. Sumner, Ian Chambers and Roger A. Sunde and has published in prestigious journals such as Cell, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Jonathan Frampton

27 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan Frampton United Kingdom 20 837 402 292 291 152 27 1.4k
Ursula Just Germany 26 1.3k 1.6× 226 0.6× 233 0.8× 356 1.2× 241 1.6× 56 2.0k
A.M. de Leeuw Netherlands 17 581 0.7× 257 0.6× 108 0.4× 177 0.6× 142 0.9× 23 1.5k
Yuka Nagata Japan 21 702 0.8× 460 1.1× 193 0.7× 324 1.1× 130 0.9× 48 1.6k
Paola Borgatti Italy 20 1.0k 1.2× 144 0.4× 189 0.6× 273 0.9× 95 0.6× 32 1.5k
S. Peter Klinken Australia 18 556 0.7× 235 0.6× 112 0.4× 220 0.8× 72 0.5× 34 1.0k
Gerlinde Stark Switzerland 8 975 1.2× 260 0.6× 136 0.5× 801 2.8× 126 0.8× 8 2.1k
Takahisa Hachiya Japan 19 1.2k 1.4× 154 0.4× 124 0.4× 153 0.5× 124 0.8× 27 1.6k
Michael E. Rusiniak United States 18 716 0.9× 81 0.2× 509 1.7× 155 0.5× 142 0.9× 24 1.2k
Verónica Ayllón Spain 23 1.1k 1.3× 209 0.5× 241 0.8× 179 0.6× 114 0.8× 42 1.4k
Andrea Bianchini Italy 14 1.1k 1.3× 393 1.0× 67 0.2× 158 0.5× 174 1.1× 18 1.4k

Countries citing papers authored by Jonathan Frampton

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Frampton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan Frampton

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan Frampton. A scholar is included among the top collaborators of Jonathan Frampton 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 Jonathan Frampton. Jonathan Frampton 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.
Volpe, Giacomo, Paloma García, Alexandros Vegiopoulos, et al.. (2015). Regulation of the Flt3 Gene in Haematopoietic Stem and Early Progenitor Cells. PLoS ONE. 10(9). e0138257–e0138257. 20 indexed citations
2.
Wilson, Nicola K., Diego Miranda‐Saavedra, Sarah Kinston, et al.. (2009). The transcriptional program controlled by the stem cell leukemia gene Scl/Tal1 during early embryonic hematopoietic development. Blood. 113(22). 5456–5465. 100 indexed citations
3.
Landry, Josette‐Renée, Nicolas Bonadies, Sarah Kinston, et al.. (2009). Expression of the leukemia oncogene Lmo2 is controlled by an array of tissue-specific elements dispersed over 100 kb and bound by Tal1/Lmo2, Ets, and Gata factors. Blood. 113(23). 5783–5792. 62 indexed citations
4.
Tucker, Katherine L., Tanya Sage, Joanne M. Stevens, et al.. (2008). A dual role for integrin-linked kinase in platelets: regulating integrin function and α-granule secretion. Blood. 112(12). 4523–4531. 55 indexed citations
5.
Castellanos‐Martín, Andrés, Georgina Lang, Jonathan Frampton, & Kathleen Weston. (2007). Regulation of erythropoiesis by the neuronal transmembrane protein Lrfn2. Experimental Hematology. 35(5). 724–734. 11 indexed citations
6.
Tucker, Katherine L., Joanne M. Stevens, Peter A. Jordan, et al.. (2007). Integrin Linked Kinase Is Important in Platelet Signalling and Function.. Blood. 110(11). 420–420. 1 indexed citations
7.
Frampton, Jonathan, Anja Irmisch, Catherine Green, et al.. (2006). Postreplication Repair and PCNA Modification inSchizosaccharomyces pombe. Molecular Biology of the Cell. 17(7). 2976–2985. 105 indexed citations
8.
Kilbey, Anna, et al.. (2005). The Evi1 proto‐oncoprotein blocks endomitosis in megakaryocytes by inhibiting sustained cyclin‐dependent kinase 2 catalytic activity. British Journal of Haematology. 130(6). 902–911. 19 indexed citations
9.
Gaur, Meenakshi, George J. Murphy, Jonathan Frampton, & Andrew D. Leavitt. (2004). Using Retroviruses to Express Genes in Primary Megakaryocyte Lineage Cells. Humana Press eBooks. 273. 381–396. 4 indexed citations
10.
Göttgens, Berthold, Cyril Broccardo, María J. Sánchez, et al.. (2004). The scl +18/19 Stem Cell Enhancer Is Not Required for Hematopoiesis: Identification of a 5′ Bifunctional Hematopoietic-Endothelial Enhancer Bound by Fli-1 and Elf-1. Molecular and Cellular Biology. 24(5). 1870–1883. 72 indexed citations
11.
Emambokus, Nikla & Jonathan Frampton. (2003). The Glycoprotein IIb Molecule Is Expressed on Early Murine Hematopoietic Progenitors and Regulates Their Numbers in Sites of Hematopoiesis. Immunity. 19(1). 33–45. 107 indexed citations
12.
Berlanga, Oscar, David Tulasne, Daniel Snell, et al.. (2002). The Fc receptor γ‐chain is necessary and sufficient to initiate signalling through glycoprotein VI in transfected cells by the snake C‐type lectin, convulxin. European Journal of Biochemistry. 269(12). 2951–2960. 41 indexed citations
13.
García, Paloma, Jonathan Frampton, Alicia Ballester, & Carmela Calés. (2000). Ectopic expression of cyclin E allows non-endomitotic megakaryoblastic K562 cells to establish re-replication cycles. Oncogene. 19(14). 1820–1833. 30 indexed citations
14.
Jayaraman, Padma-Sheela, Jonathan Frampton, & Graham H. Goodwin. (2000). The homeodomain protein PRH influences the differentiation of haematopoietic cells. Leukemia Research. 24(12). 1023–1031. 30 indexed citations
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17.
Frampton, Jonathan, et al.. (1999). v-Myb can transform and regulate the differentiation of melanocyte precursors. Oncogene. 18(51). 7226–7233. 6 indexed citations
18.
Sieweke, Michael H., Hille Tekotte, Jonathan Frampton, & Thomas Graf. (1996). MafB Is an Interaction Partner and Repressor of Ets-1 That Inhibits Erythroid Differentiation. Cell. 85(1). 49–60. 250 indexed citations
19.
Graf, Thomas, Kelly M. McNagny, Gerard Brady, & Jonathan Frampton. (1992). Chicken “erythroid” cells transformed by the Gag-Myb-Ets-encoding E26 leukemia virus are multipotent. Cell. 70(2). 201–213. 120 indexed citations
20.
Frampton, Jonathan, et al.. (1987). Changes in minor transcripts from the α1 and βmajglobin and glutathione peroxidase genes during erythropoiesis. Nucleic Acids Research. 15(9). 3671–3688. 19 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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