Rosemary Sasse

1.4k total citations · 1 hit paper
13 papers, 1.2k citations indexed

About

Rosemary Sasse is a scholar working on Epidemiology, Molecular Biology and Organic Chemistry. According to data from OpenAlex, Rosemary Sasse has authored 13 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Epidemiology, 4 papers in Molecular Biology and 3 papers in Organic Chemistry. Recurrent topics in Rosemary Sasse's work include Trypanosoma species research and implications (4 papers), Estrogen and related hormone effects (3 papers) and Research on Leishmaniasis Studies (2 papers). Rosemary Sasse is often cited by papers focused on Trypanosoma species research and implications (4 papers), Estrogen and related hormone effects (3 papers) and Research on Leishmaniasis Studies (2 papers). Rosemary Sasse collaborates with scholars based in United Kingdom, United States and Australia. Rosemary Sasse's co-authors include Keith Gull, Trevor Sherwin, Anthony J. Baines, Angela Woods, Thomas H. MacRae, André Schneider, Thomas Seebeck, David G. Russell, Matthew Glyn and Christopher R. Birkett and has published in prestigious journals such as The Journal of Cell Biology, Journal of Cell Science and Journal of Medicinal Chemistry.

In The Last Decade

Rosemary Sasse

13 papers receiving 1.2k citations

Hit Papers

Definition of individual components within the cytoskelet... 1989 2026 2001 2013 1989 100 200 300 400 500

Peers

Rosemary Sasse
Comparison fields: 5 of 77
  • Molecular Biology 796
  • Cell Biology 439
  • Epidemiology 409
  • Physiology 200
  • Public Health, Environmental and Occupational Health 150
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Kyohei Umebayashi Japan View profile →
Citations per field, relative to Rosemary Sasse
Rosemary Sasse · 1×
Citations per year, relative to Rosemary Sasse
Rosemary Sasse · 1×

Countries citing papers authored by Rosemary Sasse

Since Specialization
Citations

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

Fields of papers citing papers by Rosemary Sasse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rosemary Sasse

This figure shows the co-authorship network connecting the top 25 collaborators of Rosemary Sasse. A scholar is included among the top collaborators of Rosemary Sasse 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 Rosemary Sasse. Rosemary Sasse is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
# Work Indexed citations
1 1
2 20
3 10
4 26
5 38
6 35
7 15
8
Definition of individual components within the cytoskeleton of Trypanosoma brucei by a library of monoclonal antibodies breakdown →
597
9 122
10 168
11 46
12 96
13 20

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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