Fiona Greer

1.3k citations
17 papers · 1.1k · h-index 12

Impact in

  • Immunology top 5%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
  • Virology top 10%

Papers in

    • Glycosylation and Glycoproteins Research 2
    • Immune Cell Function and Interaction 3
    • Immunotherapy and Immune Responses 3
    • T-cell and B-cell Immunology 2

Fiona Greer

16 papers receiving 1.0k citations

Peers

Fiona Greer
Comparison fields: 5 of 77
  • Immunology 492
  • Virology 51
  • Rheumatology 99
  • Oncology 178
  • Microbiology 38
Replace Jamie L. Brady with:
Jamie L. Brady Australia
Volker Gnau Germany
Timothy Elliott United Kingdom
Xi Gao China
Laurie Love-Homan United States
David D. Duncan United States
Aristóbolo M. Silva Brazil
Henning Lauterbach Germany
Christoph Baumann Germany
Christopher Mehlin United States
Fiona Greer relative to Jamie L. Brady Australia Jamie L. Brady's profile →
Citations per field
00.5×1.5×2.1×
Jamie L. Brady · 1×
Citations per year

Countries citing papers authored by Fiona Greer

Since Specialization
Citations

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

Fields of papers citing papers by Fiona Greer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Fiona Greer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Fiona Greer Line = papers co-authored together Fiona Greer links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2005363
2 2009214
3 2002165
4 200567
5 200451
6 198947
7 200334
8 198534
9 199124
10 198522
11 200916
12 200415
13 19887
14 19933
15 20241
16 20031
17 20030

About Fiona Greer

Fiona Greer is a scholar working on Molecular Biology, Immunology, Spectroscopy, Public Health, Environmental and Occupational Health and Endocrinology, Diabetes and Metabolism, having authored 17 papers that have together received 1.1k indexed citations. Recurring topics across this work include Mass Spectrometry Techniques and Applications (4 papers), Immune Cell Function and Interaction (3 papers), Immunotherapy and Immune Responses (3 papers), Advanced Proteomics Techniques and Applications (2 papers), Glycosylation and Glycoproteins Research (2 papers), Diabetes and associated disorders (2 papers), T-cell and B-cell Immunology (2 papers) and Analytical Chemistry and Chromatography (2 papers). The work is most often cited by research in Immunology (492 citations), Virology (51 citations), Rheumatology (99 citations), Oncology (178 citations) and Microbiology (38 citations). Fiona Greer has collaborated with scholars based in United Kingdom, France and Germany. Frequent co-authors include Viv Lindo, Gabriele Niedermann, Peter Van Endert, Loredana Saveanu, Oliver Carroll, Margarita Del Val, Yves Lepelletier, Lutz Schomburg, Doriana Fruci and Daniel López. Their work appears in journals such as European Journal of Immunology, Glycobiology, Proceedings of the National Academy of Sciences, Journal of the Science of Food and Agriculture and Science.

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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