Nicole S. Struck

2.2k citations
25 papers · 1.5k indexed · h-index 15

Nicole S. Struck

23 papers receiving 1.5k citations

Peers

Nicole S. Struck
Comparison fields: 5 of 75
  • Parasitology 317
  • Public Health, Environmental and Occupational Health 1.0k
  • Virology 96
  • Immunology 398
  • Molecular Biology 547
Replace Danushka S. Marapana with:
Danushka S. Marapana Australia
Teresa G. Carvalho Australia
Sean C. Murphy United States
Ann‐Kristin Mueller Germany
Paul R. Sanders Australia
Kai Wengelnik France
Alida Coppi United States
Christine Langer Australia
Christine R. Collins United Kingdom
Matthew T. O’Neill Australia
Nicole S. Struck relative to Danushka S. Marapana Australia Danushka S. Marapana's profile →
Citations per field
00.5×1.5×
Danushka S. Marapana · 1×
Citations per year

Countries citing papers authored by Nicole S. Struck

Since Specialization
Citations

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

Fields of papers citing papers by Nicole S. Struck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20242
2 20230
3 202132
4 20211
5 20212
6 20210
7 20202
8 201931
9 200948
10 2009125
11 200840
12 200831
13 200836
14 20063
15 200653
16 200670
17 200610
18 200575
19 2004375
20 2003357

About Nicole S. Struck

Nicole S. Struck is a scholar working on Modeling and Simulation, Public Health, Environmental and Occupational Health and Immunology, having authored 25 papers that have together received 1.5k indexed citations. Recurring topics across this work include Malaria Research and Control (17 papers), Mosquito-borne diseases and control (14 papers), Invertebrate Immune Response Mechanisms (6 papers), Complement system in diseases (5 papers), COVID-19 epidemiological studies (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers), HIV Research and Treatment (2 papers) and Viral Infections and Vectors (2 papers). The work is most often cited by research in Parasitology (317 citations), Public Health, Environmental and Occupational Health (1.0k citations) and Virology (96 citations). Nicole S. Struck has collaborated with scholars based in Germany, Australia and Ghana. Frequent co-authors include Alan F. Cowman, Geoffrey I. McFadden, Christopher J. Tonkin, Tim‐Wolf Gilberger, Bernardo J. Foth, Stuart A. Ralph, Timothy P. Spurck, Robert T. Good, Emanuela Handman and Giel G. van Dooren. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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