Lauren A. Vaught

768 citations
23 papers · 433 indexed · h-index 12
Topics
SARS-CoV-2 and COVID-19 Research (8 papers)COVID-19 Clinical Research Studies (5 papers)Muscle Physiology and Disorders (3 papers)

In The Last Decade

Lauren A. Vaught

21 papers receiving 425 citations

Peers

Lauren A. Vaught
Comparison fields: 5 of 84
  • Infectious Diseases 170
  • Molecular Biology 109
  • Physiology 77
  • Oncology 65
  • Immunology 36
Replace Juliet M. Bartleson with:
Juliet M. Bartleson United States
Patrick Mucher Austria
L. Pallavicini Italy
Victoria Fife Austria
Fabian Helfritz Germany
Yu Xie China
Lauren A. Callender United Kingdom
Claire E. Gustafson United States
Cristina Brigatti Italy
Pimpayao Sodsai Thailand
Lauren A. Vaught relative to Juliet M. Bartleson United States Juliet M. Bartleson's profile →
Citations per field
00.5×10×
Juliet M. Bartleson · 1×
Citations per year

Countries citing papers authored by Lauren A. Vaught

Since Specialization
Citations

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

Fields of papers citing papers by Lauren A. Vaught

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lauren A. Vaught. 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 Lauren A. Vaught. The network helps show where Lauren A. Vaught may publish in the future.

Co-authorship network of co-authors of Lauren A. Vaught

This figure shows the co-authorship network connecting the top 25 collaborators of Lauren A. Vaught. A scholar is included among the top collaborators of Lauren A. Vaught 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 Lauren A. Vaught. Lauren A. Vaught 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
#WorkIndexed citations
1 0
2 5
3 5
4 0
5 3
6 14
7 5
8 20
9 10
10 28
11 21
12 57
13 6
14 56
15 14
16 16
17 38
18 4
19 11
20 33

About Lauren A. Vaught

Lauren A. Vaught is a scholar working on Infectious Diseases, Modeling and Simulation and Obstetrics and Gynecology, having authored 23 papers that have together received 433 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (8 papers), COVID-19 Clinical Research Studies (5 papers) and Muscle Physiology and Disorders (3 papers). The work is most often cited by research in Infectious Diseases (170 citations), Modeling and Simulation (35 citations) and Physiology (77 citations). Lauren A. Vaught has collaborated with scholars based in United States, Malaysia and Canada. Frequent co-authors include Alexis R. Demonbreun, Elizabeth M. McNally, Nina L. Reiser, Richard T. D’Aquila, Thomas W. McDade, Brian Mustanski, Liangjie Yin, Paul Okunieff, Sadasivan Vidyasagar and Rana Saber. Their work appears in journals such as Gastroenterology, PLoS ONE and Scientific Reports.

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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