Linda C. Lambert

12 total papers · 979 total citations
8 papers, 677 citations indexed

About

Linda C. Lambert is a scholar working on Epidemiology, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Linda C. Lambert has authored 8 papers receiving a total of 677 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Epidemiology, 3 papers in Molecular Biology and 1 paper in Infectious Diseases. Recurrent topics in Linda C. Lambert's work include Respiratory viral infections research (4 papers), Influenza Virus Research Studies (4 papers) and Ion channel regulation and function (2 papers). Linda C. Lambert is often cited by papers focused on Respiratory viral infections research (4 papers), Influenza Virus Research Studies (4 papers) and Ion channel regulation and function (2 papers). Linda C. Lambert collaborates with scholars based in United States, Russia and India. Linda C. Lambert's co-authors include Anthony S. Fauci, Ashvani K. Singh, Robert J. Bridges, Raymond A. Frizzell, Daniel C. Devor, Juanita M. Firestone, Richard J. Harris, James D. Campbell, Gilbert M. Schiff and Alexander Klimov and has published in prestigious journals such as New England Journal of Medicine, Infection and Immunity and The Journal of General Physiology.

In The Last Decade

Linda C. Lambert

8 papers receiving 658 citations

Author Peers

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

Author Last Decade Papers Cites
Linda C. Lambert 289 209 143 118 93 8 677
Landon G. vom Steeg 199 0.7× 71 0.3× 27 0.2× 232 2.0× 185 2.0× 13 696
Hayley Derricott 75 0.3× 46 0.2× 44 0.3× 108 0.9× 35 0.4× 13 765
Muneeb Salie 174 0.6× 109 0.5× 33 0.2× 186 1.6× 289 3.1× 15 601
Jennifer Wilson 140 0.5× 192 0.9× 32 0.2× 220 1.9× 39 0.4× 22 633
Nancy A. Jewell 372 1.3× 92 0.4× 96 0.7× 332 2.8× 151 1.6× 18 715
Christian Alexander 57 0.2× 150 0.7× 29 0.2× 160 1.4× 29 0.3× 16 627
Paul Wallace 50 0.2× 147 0.7× 25 0.2× 202 1.7× 37 0.4× 20 644
Sarah Bloukh 49 0.2× 172 0.8× 37 0.3× 71 0.6× 44 0.5× 9 563
Alessandra Zevini 108 0.4× 237 1.1× 25 0.2× 334 2.8× 196 2.1× 11 727
Eleonora Agricola 210 0.7× 221 1.1× 15 0.1× 34 0.3× 39 0.4× 21 690

Countries citing papers authored by Linda C. Lambert

Since Specialization
Citations

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

Fields of papers citing papers by Linda C. Lambert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Linda C. Lambert. 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 Linda C. Lambert. The network helps show where Linda C. Lambert may publish in the future.

Co-authorship network of co-authors of Linda C. Lambert

This figure shows the co-authorship network connecting the top 25 collaborators of Linda C. Lambert. A scholar is included among the top collaborators of Linda C. Lambert 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 Linda C. Lambert. Linda C. Lambert 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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