Sarah J. Dunstan

28.2k citations
61 papers · 3.4k indexed · 1 hit paper · h-index 32
Topics
Tuberculosis Research and Epidemiology (21 papers)Salmonella and Campylobacter epidemiology (17 papers)Immune Response and Inflammation (16 papers)

In The Last Decade

Sarah J. Dunstan

59 papers receiving 3.3k citations

Hit Papers

Host Genotype-Specific Therapies Can Optimize the Inflamm...20122026201620212012100200300400

Peers

Sarah J. Dunstan
Comparison fields: 5 of 119
  • Infectious Diseases 1.7k
  • Immunology 1.2k
  • Epidemiology 1.0k
  • Molecular Biology 597
  • Food Science 564
Replace William H. Benjamin with:
William H. Benjamin United States
Peadar Ó Gaora Ireland
Bärbel Raupach Germany
Stefan B. Svenson Sweden
Carrie M. Rosenberger United States
Simon Clare United Kingdom
Mona Bajaj‐Elliott United Kingdom
Mary Jo Wick Sweden
Paul M. Sullam United States
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Sarah J. Dunstan relative to William H. Benjamin United States William H. Benjamin's profile →
Citations per field
00.5×1.5×2.4×
William H. Benjamin · 1×
Citations per year

Countries citing papers authored by Sarah J. Dunstan

Since Specialization
Citations

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

Fields of papers citing papers by Sarah J. Dunstan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarah J. Dunstan

This figure shows the co-authorship network connecting the top 25 collaborators of Sarah J. Dunstan. A scholar is included among the top collaborators of Sarah J. Dunstan 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 Sarah J. Dunstan. Sarah J. Dunstan 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 0
2 1
3 7
4 1
5 1
6 49
7 42
8 50
9 9
10 13
11 29
12
Host Genotype-Specific Therapies Can Optimize the Inflammatory Response to Mycobacterial Infectionsbreakdown →
420
13 41
14 85
15 37
16 159
17 153
18 131
19 73
20 182

About Sarah J. Dunstan

Sarah J. Dunstan is a scholar working on Infectious Diseases, Endocrinology and Immunology, having authored 61 papers that have together received 3.4k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (21 papers), Salmonella and Campylobacter epidemiology (17 papers) and Immune Response and Inflammation (16 papers). The work is most often cited by research in Infectious Diseases (1.7k citations), Endocrinology (365 citations) and Immunology (1.2k citations). Sarah J. Dunstan has collaborated with scholars based in Vietnam, United Kingdom and Australia. Frequent co-authors include Jeremy Farrar, Thomas R. Hawn, Guy Thwaites, Nguyen Duc Bang, Tran Thi Hong Chau, Cameron P. Simmons, Richard A. Strugnell, Jay C. Vary, Lalita Ramakrishnan and David M. Tobin. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Nature Communications.

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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