S.W. Scally

1.7k citations
22 papers · 1.0k · h-index 16

Impact in

  • Virology top 5%
  • Immunology top 10%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction

Papers in

S.W. Scally

21 papers receiving 1.0k citations

Peers

S.W. Scally
Comparison fields: 5 of 74
  • Virology 88
  • Immunology 380
  • Gastroenterology 68
  • Rheumatology 174
  • Public Health, Environmental and Occupational Health 306
Replace Gregory Fanning with:
Gregory Fanning Belgium
Paul A Santini United States
Fabian de Labastida Rivera Australia
Claudine Guérin-Marchand France
Annemarie Lekkerkerker United States
Jiří Kovařík Switzerland
F Celada Italy
Curtis McMurtrey United States
Uthaman Gowthaman India
Candida Fratazzi United States
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Citations per field
00.5×7.5×
Gregory Fanning · 1×
Citations per year

Countries citing papers authored by S.W. Scally

Since Specialization
Citations

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

Fields of papers citing papers by S.W. Scally

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S.W. Scally. 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 S.W. Scally. The network helps show where S.W. Scally may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013310
2 201299
3 201789
4 201876
5 201869
6 201760
7 202048
8 201744
9 200941
10 202228
11 201927
12 202221
13 202020
14 200920
15 200918
16 201316
17 202312
18 20237
19 20163
20 20251

About S.W. Scally

S.W. Scally is a scholar working on Public Health, Environmental and Occupational Health, Immunology, Epidemiology, Molecular Biology and Materials Chemistry, having authored 22 papers that have together received 1.0k indexed citations. Recurring topics across this work include Malaria Research and Control (12 papers), Trypanosoma species research and implications (6 papers), Invertebrate Immune Response Mechanisms (4 papers), T-cell and B-cell Immunology (3 papers), Enzyme Structure and Function (3 papers), Mosquito-borne diseases and control (3 papers), Complement system in diseases (3 papers) and Computational Drug Discovery Methods (2 papers). The work is most often cited by research in Virology (88 citations), Immunology (380 citations), Gastroenterology (68 citations), Rheumatology (174 citations) and Public Health, Environmental and Occupational Health (306 citations). S.W. Scally has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Khai Lee Loh, Jamie Rossjohn, Anthony W. Purcell, Hugh H. Reid, Jan Petersen, Ranjeny Thomas, Jean‐Philippe Julien, Alexandre Bosch, James McCluskey and Giulia Costa. Their work appears in journals such as Nature Communications, The Journal of Experimental Medicine, Journal of Biological Chemistry, Immunity and Nature Microbiology.

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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