Susannah Leach

938 citations
27 papers · 605 · h-index 15

Impact in

    • Escherichia coli research studies
    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • Viral gastroenteritis research and epidemiology
    • SARS-CoV-2 detection and testing

Papers in

    • SARS-CoV-2 and COVID-19 Research 12
    • COVID-19 Clinical Research Studies 10
    • Viral gastroenteritis research and epidemiology 5
    • SARS-CoV-2 detection and testing 2
    • Escherichia coli research studies 8

Susannah Leach

26 papers receiving 597 citations

Peers

Susannah Leach
Comparison fields: 5 of 61
  • Endocrinology 143
  • Infectious Diseases 342
  • Health 60
  • Neurology 103
  • Modeling and Simulation 33
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Citations per field
00.5×4.1×
Adamma Mba‐Jonas · 1×
Citations per year

Countries citing papers authored by Susannah Leach

Since Specialization
Citations

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

Fields of papers citing papers by Susannah Leach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020126
2 202368
3 201257
4 201345
5 202236
6 201736
7 202128
8 201326
9 202122
10 202121
11 202220
12 202319
13 202217
14 202216
15 202114
16 202212
17 20219
18 20217
19 20196
20 20234

About Susannah Leach

Susannah Leach is a scholar working on Infectious Diseases, Endocrinology, Immunology, Molecular Biology and Health, having authored 27 papers that have together received 605 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (12 papers), COVID-19 Clinical Research Studies (10 papers), Escherichia coli research studies (8 papers), Viral gastroenteritis research and epidemiology (5 papers), Vaccine Coverage and Hesitancy (3 papers), T-cell and B-cell Immunology (3 papers), Long-Term Effects of COVID-19 (3 papers) and SARS-CoV-2 detection and testing (2 papers). The work is most often cited by research in Endocrinology (143 citations), Infectious Diseases (342 citations), Health (60 citations), Neurology (103 citations) and Modeling and Simulation (33 citations). Susannah Leach has collaborated with scholars based in Sweden, United States and Netherlands. Frequent co-authors include Anna Lundgren, Magnus Gisslén, Ann‐Mari Svennerholm, Fredrik Nyberg, Lisa Lundberg, Huiqi Li, Ailiana Santosa, Maria Bygdell, John D. Clements and Joanna Kaim. Their work appears in journals such as Vaccine, PLoS ONE, American Journal of Transplantation, Frontiers in Immunology and BMJ.

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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