Sarah Field

2.8k citations
20 papers · 1.8k indexed · h-index 13

Impact in

  • Immunology top 5%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • interferon and immune responses
    • Reproductive System and Pregnancy
  • Genetics top 5%
    • Diabetes and associated disorders

Papers in

Sarah Field

20 papers receiving 1.7k citations

Peers

Sarah Field
Comparison fields: 5 of 106
  • Immunology 660
  • Genetics 664
  • Endocrinology, Diabetes and Metabolism 196
  • Reproductive Medicine 92
  • Molecular Biology 584
Replace Matthew F. Starost with:
Matthew F. Starost United States
Osamu Ichii Japan
John R. Klein United States
Alisoun H. Carey United Kingdom
Gerard R. Rutteman Netherlands
Kristen M. Drescher United States
Stefan Kirsch Germany
Cornelia Hardt Germany
Pascale Alard United States
Tsutomu Miyamoto Japan
Sarah Field relative to Matthew F. Starost United States Matthew F. Starost's profile →
Citations per field
00.5×2.8×
Matthew F. Starost · 1×
Citations per year

Countries citing papers authored by Sarah Field

Since Specialization
Citations

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

Fields of papers citing papers by Sarah Field

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 202413
2 202318
3 20174
4 201719
5 20171
6 20158
7 20156
8 2013157
9 20121
10 2011138
11 201125
12 201052
13 2008149
14 200737
15 2007307
16 20076
17 2006475
18 20043
19 200358
20 2003280

About Sarah Field

Sarah Field is a scholar working on Immunology, Reproductive Medicine, Rheumatology, Agronomy and Crop Science and Oncology, having authored 20 papers that have together received 1.8k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (3 papers), Cytokine Signaling Pathways and Interactions (2 papers), Reproductive Biology and Fertility (2 papers), Ovarian function and disorders (2 papers), Molecular Biology Techniques and Applications (2 papers), Reproductive Physiology in Livestock (2 papers), Osteoarthritis Treatment and Mechanisms (2 papers) and Diabetes and associated disorders (2 papers). The work is most often cited by research in Immunology (660 citations), Genetics (664 citations), Endocrinology, Diabetes and Metabolism (196 citations), Reproductive Medicine (92 citations) and Molecular Biology (584 citations). Sarah Field has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include David Clayton, John A. Todd, Rebecca Bailey, Neil Walker, Deborah J. Smyth, Nicolas M. Orsi, Michele Cummings, Tathagata Dasgupta, Cristian Guja and Luc J Smink. Their work appears in journals such as Nature Genetics, Arthritis Research & Therapy, BMC Systems Biology, Annals of the Rheumatic Diseases and npj Genomic Medicine.

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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