Heather E. Fairfield

1.8k citations
45 papers · 1.4k · h-index 20

Impact in

Papers in

    • Multiple Myeloma Research and Treatments 13
    • Chemokine receptors and signaling 10
    • Bone health and treatments 4
    • Peptidase Inhibition and Analysis 4

Heather E. Fairfield

45 papers receiving 1.4k citations

Peers

Heather E. Fairfield
Comparison fields: 5 of 97
  • Hematology 413
  • Orthopedics and Sports Medicine 178
  • Oncology 421
  • Genetics 150
  • Cancer Research 141
Replace Berno Dankbar with:
Berno Dankbar Germany
Sindhu T. Mohanty Australia
David E. Maridas United States
Robert Kees Stad Netherlands
Monika Jansson Sweden
Kentaro Minagawa Japan
Floris P. J. van Alphen Netherlands
Hina Takano Japan
Yoshiteru Miyauchi Japan
Heather E. Fairfield relative to Berno Dankbar Germany Berno Dankbar's profile →
Citations per field
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Berno Dankbar · 1×
Citations per year

Countries citing papers authored by Heather E. Fairfield

Since Specialization
Citations

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

Fields of papers citing papers by Heather E. Fairfield

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Heather E. Fairfield. 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 Heather E. Fairfield. The network helps show where Heather E. Fairfield may publish in the future.

Co-authors

The 25 scholars most cited alongside Heather E. Fairfield, 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 Heather E. Fairfield Line = papers co-authored together Heather E. Fairfield links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017153
2 2016142
3 2017122
4 201189
5 201671
6 202067
7 201762
8 201857
9 201954
10 201753
11 201743
12 201642
13 201739
14 202136
15 201532
16 201430
17 201930
18 202330
19 202122
20 202320

About Heather E. Fairfield

Heather E. Fairfield is a scholar working on Hematology, Oncology, Orthopedics and Sports Medicine, Cancer Research and Genetics, having authored 45 papers that have together received 1.4k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (13 papers), Chemokine receptors and signaling (10 papers), Peroxisome Proliferator-Activated Receptors (5 papers), Cancer, Lipids, and Metabolism (5 papers), Mesenchymal stem cell research (5 papers), Bone health and treatments (4 papers), Bone and Joint Diseases (4 papers) and Peptidase Inhibition and Analysis (4 papers). The work is most often cited by research in Hematology (413 citations), Orthopedics and Sports Medicine (178 citations), Oncology (421 citations), Genetics (150 citations) and Cancer Research (141 citations). Heather E. Fairfield has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Michaela Ruth Reagan, Carolyne R. Falank, Clifford james Rosen, Michelle Maree McDonald, Mariah Farrell, Samantha Costa, Victoria DeMambro, David E. Bergstrom, Calvin Vary and Heather E. Driscoll. Their work appears in journals such as Blood, Bone, PLoS ONE, eLife and Frontiers in Oncology.

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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