Fiona J. Pixley

6.8k citations
51 papers · 5.4k indexed · 3 hit papers · h-index 32
Topics
Immune cells in cancer (26 papers)Cell Adhesion Molecules Research (9 papers)Cellular Mechanics and Interactions (8 papers)

In The Last Decade

Fiona J. Pixley

51 papers receiving 5.3k citations

Hit Papers

A Paracrine Loop between Tumor Cells and Macrophages Is R...2004202620112018200420042005250500750

Peers

Fiona J. Pixley
Comparison fields: 5 of 129
  • Immunology 2.2k
  • Molecular Biology 2.0k
  • Oncology 1.6k
  • Epidemiology 737
  • Cell Biology 648
Replace Bruno Luckow with:
Bruno Luckow Germany
Dianne Grail Australia
B J Nickoloff United States
Ronald Herbst United States
Joost J. van den Oord Belgium
Bharat Joshi United States
Anna Mondino Italy
Natalio Garbi Germany
Robert J. B. Nibbs United Kingdom
Salvatore Antonaci Italy
Fiona J. Pixley relative to Bruno Luckow Germany Bruno Luckow's profile →
Citations per field
00.5×
Bruno Luckow · 1×
Citations per year

Countries citing papers authored by Fiona J. Pixley

Since Specialization
Citations

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

Fields of papers citing papers by Fiona J. Pixley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fiona J. Pixley. 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 Fiona J. Pixley. The network helps show where Fiona J. Pixley may publish in the future.

Co-authorship network of co-authors of Fiona J. Pixley

This figure shows the co-authorship network connecting the top 25 collaborators of Fiona J. Pixley. A scholar is included among the top collaborators of Fiona J. Pixley 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 Fiona J. Pixley. Fiona J. Pixley 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
#WorkIndexed citations
1 2
2 59
3 15
4 24
5 13
6 42
7 5
8 11
9 22
10 33
11 56
12 69
13
Macrophages Promote the Invasion of Breast Carcinoma Cells via a Colony-Stimulating Factor-1/Epidermal Growth Factor Paracrine Loopbreakdown →
585
14 64
15
A Paracrine Loop between Tumor Cells and Macrophages Is Required for Tumor Cell Migration in Mammary Tumorsbreakdown →
901
16 39
17 56
18 359
19 45
20 93

About Fiona J. Pixley

Fiona J. Pixley is a scholar working on Immunology, Immunology and Allergy and Cell Biology, having authored 51 papers that have together received 5.4k indexed citations. Recurring topics across this work include Immune cells in cancer (26 papers), Cell Adhesion Molecules Research (9 papers) and Cellular Mechanics and Interactions (8 papers). The work is most often cited by research in Immunology (2.2k citations), Immunology and Allergy (420 citations) and Oncology (1.6k citations). Fiona J. Pixley has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include E. Richard Stanley, Jeffrey Wyckoff, Jeffrey E. Segall, Thomas Graf, John S. Condeelis, John Condeelis, Weigang Wang, Elaine Y. Lin, Yarong Wang and Jeffrey W. Pollard. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Lancet and Journal of Biological Chemistry.

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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