Sarah Siegel

779 citations
27 papers · 299 indexed · h-index 10
Topics
Tuberculosis Research and Epidemiology (6 papers)Spondyloarthritis Studies and Treatments (6 papers)Mycobacterium research and diagnosis (6 papers)

In The Last Decade

Sarah Siegel

24 papers receiving 296 citations

Peers

Sarah Siegel
Comparison fields: 5 of 69
  • Infectious Diseases 184
  • Epidemiology 122
  • Immunology 47
  • Small Animals 41
  • Surgery 33
Replace Andrew M. Redmond with:
Andrew M. Redmond Australia
Maria da Graça Souza Cunha Brazil
Audrey L. Butler United States
Joyce Kabagenyi United Kingdom
Kenneth Ssebambulidde Uganda
Jean‐Louis Mège France
Clement Gascua Adu-Gyamfi South Africa
Yannick Vande Weygaerde Belgium
Surabhi B Vora United States
Youjia Zhong Singapore
Sarah Siegel relative to Andrew M. Redmond Australia Andrew M. Redmond's profile →
Citations per field
00.5×5.9×
Andrew M. Redmond · 1×
Citations per year

Countries citing papers authored by Sarah Siegel

Since Specialization
Citations

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

Fields of papers citing papers by Sarah Siegel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarah Siegel

This figure shows the co-authorship network connecting the top 25 collaborators of Sarah Siegel. A scholar is included among the top collaborators of Sarah Siegel 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 Siegel. Sarah Siegel 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 0
3 0
4 0
5 1
6 13
7 12
8 71
9 8
10 1
11 1
12 1
13 6
14 19
15 21
16 19
17 31
18 1
19 28
20
Immediate and delayed type hypersensitivity to malathion.
7

About Sarah Siegel

Sarah Siegel is a scholar working on Infectious Diseases, Rheumatology and Modeling and Simulation, having authored 27 papers that have together received 299 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (6 papers), Spondyloarthritis Studies and Treatments (6 papers) and Mycobacterium research and diagnosis (6 papers). The work is most often cited by research in Infectious Diseases (184 citations), Small Animals (41 citations) and Epidemiology (122 citations). Sarah Siegel has collaborated with scholars based in United States, Australia and Greece. Frequent co-authors include Kevin Winthrop, Jennifer H Ku, Alan R. Teo, Sarah B. Andrea, Amanda E. Brunton, Fikadu Tafesse, William B. Messer, Zoë L. Lyski, Shannon Novosad and Emily Henkle. Their work appears in journals such as Nature Communications, Annals of Internal Medicine and Scientific Reports.

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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