Rachel Lau

805 total citations
37 papers, 557 citations indexed

About

Rachel Lau is a scholar working on Public Health, Environmental and Occupational Health, Epidemiology and Parasitology. According to data from OpenAlex, Rachel Lau has authored 37 papers receiving a total of 557 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Public Health, Environmental and Occupational Health, 9 papers in Epidemiology and 7 papers in Parasitology. Recurrent topics in Rachel Lau's work include Malaria Research and Control (13 papers), Mosquito-borne diseases and control (9 papers) and Research on Leishmaniasis Studies (9 papers). Rachel Lau is often cited by papers focused on Malaria Research and Control (13 papers), Mosquito-borne diseases and control (9 papers) and Research on Leishmaniasis Studies (9 papers). Rachel Lau collaborates with scholars based in Canada, Australia and United States. Rachel Lau's co-authors include Andrea K. Boggild, Filip Ralevski, Dylan R. Pillai, Krishna Khairnar, Donald R. Martin, Dea Shahinas, Ruwandi Kariyawasam, Braulio M. Valencia, Donald E. Low and Alejandro Llanos‐Cuentas and has published in prestigious journals such as Clinical Infectious Diseases, Journal of Bacteriology and Journal of Clinical Microbiology.

In The Last Decade

Rachel Lau

35 papers receiving 547 citations

Peers

Rachel Lau
Comparison fields: 5 of 83
  • Public Health, Environmental and Occupational Health 338
  • Epidemiology 163
  • Parasitology 94
  • Infectious Diseases 91
  • Molecular Biology 59
Replace Michael Pritsch with:
Michael Pritsch Germany
Rie Isozumi Japan
Andreea Waltmann United States
Sara Montecchini Italy
Mahdi Fakhar Iran
Nicole Berens‐Riha Germany
Didier Leboulleux France
Vimala Venkatesh India
Lars Rombo Sweden
Gabriele Peyerl‐Hoffmann Germany
Michael Pritsch Germany View profile →
Citations per field, relative to Rachel Lau
Rachel Lau · 1×
Citations per year, relative to Rachel Lau
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Countries citing papers authored by Rachel Lau

Since Specialization
Citations

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

Fields of papers citing papers by Rachel Lau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rachel Lau

This figure shows the co-authorship network connecting the top 25 collaborators of Rachel Lau. A scholar is included among the top collaborators of Rachel Lau 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 Rachel Lau. Rachel Lau 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
# Work Indexed citations
1 0
2 2
3 0
4 3
5 5
6 1
7 11
8 43
9 20
10 32
11 9
12 12
13 10
14 22
15 26
16 9
17 19
18 16
19 72
20 85

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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