Jon Frampton

10.6k total citations · 2 hit papers
100 papers, 7.4k citations indexed

About

Jon Frampton is a scholar working on Hematology, Molecular Biology and Immunology. According to data from OpenAlex, Jon Frampton has authored 100 papers receiving a total of 7.4k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Hematology, 37 papers in Molecular Biology and 21 papers in Immunology. Recurrent topics in Jon Frampton's work include Platelet Disorders and Treatments (21 papers), Acute Myeloid Leukemia Research (13 papers) and Cell Adhesion Molecules Research (11 papers). Jon Frampton is often cited by papers focused on Platelet Disorders and Treatments (21 papers), Acute Myeloid Leukemia Research (13 papers) and Cell Adhesion Molecules Research (11 papers). Jon Frampton collaborates with scholars based in United Kingdom, Germany and United States. Jon Frampton's co-authors include Thomas Graf, Christian Schulz, Steve P. Watson, Sten Eirik W. Jacobsen, Frédéric Geissmann, Marco Prinz, Bishan Wu, Nicolas Cagnard, Laurent Chorro and Jeffrey W. Pollard and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Jon Frampton

99 papers receiving 7.3k citations

Hit Papers

A Lineage of Myeloid Cells In... 1986 2026 1999 2012 2012 1986 500 1000 1.5k

Peers

Jon Frampton
Comparison fields: 5 of 142
  • Molecular Biology 3.0k
  • Immunology 2.3k
  • Hematology 1.6k
  • Oncology 723
  • Cell Biology 718
Replace Ashley R. Dunn with:
Ashley R. Dunn Australia
Achim Leutz Germany
Claus Nerlov United Kingdom
Stuart H. Orkin United States
Makoto Naito Japan
Peter L. Hordijk Netherlands
Paul E. Love United States
Ivan Maillard United States
William A. Frazier United States
Paul W. Kincade United States
Ashley R. Dunn Australia View profile →
Citations per field, relative to Jon Frampton
Jon Frampton · 1×
Citations per year, relative to Jon Frampton
Jon Frampton · 1×

Countries citing papers authored by Jon Frampton

Since Specialization
Citations

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

Fields of papers citing papers by Jon Frampton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jon Frampton

This figure shows the co-authorship network connecting the top 25 collaborators of Jon Frampton. A scholar is included among the top collaborators of Jon 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 Jon Frampton. Jon 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
# Work Indexed citations
1 1
2 0
3 4
4 5
5 48
6 9
7
A Lineage of Myeloid Cells Independent of Myb and Hematopoietic Stem Cells breakdown →
1894
8
A lineage of myeloid cells independent of Myb and hematopoietic stem cells
4
9 19
10 188
11 31
12 7
13 43
14 14
15 27
16 123
17
Proteins and cell regulation
19
18 11
19 15
20 184

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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