Virginia Utermohlen

40 total papers · 1.4k total citations
32 papers, 1.1k citations indexed

About

Virginia Utermohlen is a scholar working on Nutrition and Dietetics, Immunology and Epidemiology. According to data from OpenAlex, Virginia Utermohlen has authored 32 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Nutrition and Dietetics, 8 papers in Immunology and 6 papers in Epidemiology. Recurrent topics in Virginia Utermohlen's work include Culinary Culture and Tourism (6 papers), Body Composition Measurement Techniques (3 papers) and Streptococcal Infections and Treatments (3 papers). Virginia Utermohlen is often cited by papers focused on Culinary Culture and Tourism (6 papers), Body Composition Measurement Techniques (3 papers) and Streptococcal Infections and Treatments (3 papers). Virginia Utermohlen collaborates with scholars based in United States, Canada and Jamaica. Virginia Utermohlen's co-authors include Pamela S. Hinton, Jere D. Haas, John B. Zabriskie, Robert K. Stuart, George W. Santos, Ron Brookmeyer, Vincent A. Fischetti, Rudolf E. Falk, Oleg Bilukha and Debra J. Szeluga and has published in prestigious journals such as The Lancet, Journal of Clinical Investigation and The Journal of Experimental Medicine.

In The Last Decade

Virginia Utermohlen

31 papers receiving 960 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Virginia Utermohlen 388 232 215 156 139 32 1.1k
Francisco J. Rosales 185 0.5× 398 1.7× 128 0.6× 90 0.6× 48 0.3× 30 1.1k
Mélanie Viltard 172 0.4× 150 0.6× 98 0.5× 64 0.4× 100 0.7× 17 1.2k
Filia Apostolakou 216 0.6× 95 0.4× 117 0.5× 55 0.4× 260 1.9× 39 1.1k
Ulf Brodin 162 0.4× 66 0.3× 126 0.6× 169 1.1× 61 0.4× 40 1.3k
Giorgos Chouliaras 407 1.0× 83 0.4× 76 0.4× 125 0.8× 433 3.1× 52 1.2k
Liyan Liu 107 0.3× 132 0.6× 127 0.6× 159 1.0× 55 0.4× 24 1.5k
Kelley E. Johnston 329 0.8× 419 1.8× 44 0.2× 205 1.3× 114 0.8× 34 1.4k
Ginevra Biino 186 0.5× 114 0.5× 138 0.6× 184 1.2× 114 0.8× 47 1.0k
Elizabeth Neely 180 0.5× 174 0.8× 108 0.5× 42 0.3× 119 0.9× 46 954
Hiroshi Sogawa 128 0.3× 162 0.7× 188 0.9× 75 0.5× 32 0.2× 69 1.4k

Countries citing papers authored by Virginia Utermohlen

Since Specialization
Citations

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

Fields of papers citing papers by Virginia Utermohlen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Virginia Utermohlen

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

All Works

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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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