Scott Umlauf

1.5k total citations
18 papers, 1.0k citations indexed

About

Scott Umlauf is a scholar working on Immunology, Molecular Biology and Epidemiology. According to data from OpenAlex, Scott Umlauf has authored 18 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Immunology, 7 papers in Molecular Biology and 6 papers in Epidemiology. Recurrent topics in Scott Umlauf's work include Influenza Virus Research Studies (6 papers), Immune Response and Inflammation (6 papers) and Respiratory viral infections research (4 papers). Scott Umlauf is often cited by papers focused on Influenza Virus Research Studies (6 papers), Immune Response and Inflammation (6 papers) and Respiratory viral infections research (4 papers). Scott Umlauf collaborates with scholars based in United States, Japan and United Kingdom. Scott Umlauf's co-authors include Michael M. Cox, Lynda Tussey, Langzhou Song, Ross B. Inman, Priyanka Desai, Yan Huang, Jie Tang, William F. McDonald, Thomas Powell and Valerian Nakaar and has published in prestigious journals such as Journal of Biological Chemistry, The EMBO Journal and Nature Biotechnology.

In The Last Decade

Scott Umlauf

18 papers receiving 978 citations

Peers

Scott Umlauf
Comparison fields: 5 of 71
  • Immunology 516
  • Epidemiology 420
  • Molecular Biology 379
  • Infectious Diseases 149
  • Genetics 107
Replace Lennart Åkerblom with:
Lennart Åkerblom Sweden
Julie N. Reitter United States
Jørgen de Jonge Netherlands
D B Weiner United States
Te-Hui Chou United States
P. Kitchin United Kingdom
Peter Silvera United States
Pamuk Bilsel United States
Andrés H. Gutiérrez United States
R. H. Meloen Netherlands
Lennart Åkerblom Sweden View profile →
Citations per field, relative to Scott Umlauf
Scott Umlauf · 1×
Citations per year, relative to Scott Umlauf
Scott Umlauf · 1×

Countries citing papers authored by Scott Umlauf

Since Specialization
Citations

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

Fields of papers citing papers by Scott Umlauf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Scott Umlauf

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

All Works

18 of 18 papers shown
# Work Indexed citations
1 4
2 5
3 9
4 31
5 14
6 102
7 62
8 95
9 318
10 69
11 1
12 77
13 57
14 68
15 15
16 49
17 50
18 2

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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