Laura Skrip

2.0k citations
62 papers · 1.2k · h-index 20

Impact in

Papers in

Laura Skrip

61 papers receiving 1.1k citations

Peers

Laura Skrip
Comparison fields: 5 of 107
  • Modeling and Simulation 243
  • Infectious Diseases 333
  • Emergency Medical Services 71
  • Health 67
  • Epidemiology 232
Replace Poh Lian Lim with:
Poh Lian Lim Singapore
Jeffery Cutter Singapore
Hugo López‐Gatell Mexico
Theresa Tam Canada
A.‐J. Valleron France
Muhammad Shakir Balogun Nigeria
Meru Sheel Australia
Séverine Ansart France
Flavia Riccardo Italy
Richard Pitman United Kingdom
Laura Skrip relative to Poh Lian Lim Singapore Poh Lian Lim's profile →
Citations per field
00.5×3.1×
Poh Lian Lim · 1×
Citations per year

Countries citing papers authored by Laura Skrip

Since Specialization
Citations

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

Fields of papers citing papers by Laura Skrip

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021107
2 201467
3 201558
4 201753
5 201248
6 201747
7 202047
8 201646
9 201546
10 201543
11 201538
12 201635
13 201731
14 202029
15 201726
16 201624
17 201424
18 202022
19 201622
20 201620

About Laura Skrip

Laura Skrip is a scholar working on Infectious Diseases, Modeling and Simulation, Epidemiology, Public Health, Environmental and Occupational Health and Surgery, having authored 62 papers that have together received 1.2k indexed citations. Recurring topics across this work include Viral Infections and Outbreaks Research (18 papers), COVID-19 epidemiological studies (10 papers), Disaster Response and Management (5 papers), Venous Thromboembolism Diagnosis and Management (4 papers), Research on Leishmaniasis Studies (3 papers), Hepatitis B Virus Studies (2 papers), Metabolism, Diabetes, and Cancer (2 papers) and Global Security and Public Health (2 papers). The work is most often cited by research in Modeling and Simulation (243 citations), Infectious Diseases (333 citations), Emergency Medical Services (71 citations), Health (67 citations) and Epidemiology (232 citations). Laura Skrip has collaborated with scholars based in United States, Liberia and China. Frequent co-authors include Alison P. Galvani, Martial L. Ndeffo-Mbah, Mosoka Fallah, Dan Yamin, Shai Gertler, Benjamin M. Althouse, Yuan Yang, Yang Wang, David P. Durham and Tolbert Nyenswah. Their work appears in journals such as PLoS neglected tropical diseases, PLoS ONE, American Journal of Tropical Medicine and Hygiene, Journal of Vascular Surgery and International Journal of Infectious Diseases.

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.

Explore authors with similar magnitude of impact