Jennifer K. Smith

2.7k citations
25 papers · 1.2k indexed · 1 hit paper · h-index 14
Topics
Viral Infections and Vectors (12 papers)Viral Infections and Outbreaks Research (7 papers)Virology and Viral Diseases (6 papers)

In The Last Decade

Jennifer K. Smith

24 papers receiving 1.1k citations

Hit Papers

Interferon-Inducible Cholesterol-25-Hydroxylase Broadly I...20122026201620212012100200300400500

Peers

Jennifer K. Smith
Comparison fields: 5 of 127
  • Infectious Diseases 383
  • Epidemiology 343
  • Immunology 285
  • Molecular Biology 235
  • Surgery 168
Replace Elaine A. Muchmore with:
Elaine A. Muchmore United States
Paul MacPherson Canada
John C. Parker United States
Ning Chai United States
Patric Lundberg United States
Jon Cohen United States
William Henry Hudson United States
Christopher Ward United Kingdom
Patrick M. Reeves United States
Eva Halapi Sweden
Jennifer K. Smith relative to Elaine A. Muchmore United States Elaine A. Muchmore's profile →
Citations per field
00.5×3.8×
Elaine A. Muchmore · 1×
Citations per year

Countries citing papers authored by Jennifer K. Smith

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer K. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jennifer K. Smith. 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 Jennifer K. Smith. The network helps show where Jennifer K. Smith may publish in the future.

Co-authorship network of co-authors of Jennifer K. Smith

This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer K. Smith. A scholar is included among the top collaborators of Jennifer K. Smith 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 Jennifer K. Smith. Jennifer K. Smith 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 5
2 0
3 7
4 5
5 3
6 14
7 106
8 7
9 14
10 12
11 36
12 64
13
Interferon-Inducible Cholesterol-25-Hydroxylase Broadly Inhibits Viral Entry by Production of 25-Hydroxycholesterolbreakdown →
516
14 108
15 6
16 20
17 10
18
Modafinil's effects on simulator performance and mood in pilots during 37 h without sleep.
51
19 19
20 44

About Jennifer K. Smith

Jennifer K. Smith is a scholar working on Virology, Infectious Diseases and Occupational Therapy, having authored 25 papers that have together received 1.2k indexed citations. Recurring topics across this work include Viral Infections and Vectors (12 papers), Viral Infections and Outbreaks Research (7 papers) and Virology and Viral Diseases (6 papers). The work is most often cited by research in Infectious Diseases (383 citations), Virology (75 citations) and Immunology (285 citations). Jennifer K. Smith has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Alexander N. Freiberg, Benhur Lee, Julia R. Azari, Olivier Pernet, Rebecca J. Nusbaum, Haitao Guo, Lishan Su, Jerome A. Zack, Guangming Li and Roghiyh Aliyari. Their work appears in journals such as Immunity, Journal of Virology 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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