Annie Luetkemeyer

46 total papers · 8.7k total citations
20 papers, 579 citations indexed

About

Annie Luetkemeyer is a scholar working on Infectious Diseases, Epidemiology and Hepatology. According to data from OpenAlex, Annie Luetkemeyer has authored 20 papers receiving a total of 579 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Infectious Diseases, 12 papers in Epidemiology and 12 papers in Hepatology. Recurrent topics in Annie Luetkemeyer's work include Hepatitis C virus research (12 papers), HIV/AIDS drug development and treatment (9 papers) and Tuberculosis Research and Epidemiology (6 papers). Annie Luetkemeyer is often cited by papers focused on Hepatitis C virus research (12 papers), HIV/AIDS drug development and treatment (9 papers) and Tuberculosis Research and Epidemiology (6 papers). Annie Luetkemeyer collaborates with scholars based in United States, Australia and United Kingdom. Annie Luetkemeyer's co-authors include Diane V. Havlir, Edwin D. Charlebois, Steven G. Deeks, David R. Bangsberg, Jeffrey N. Martin, Laura Flores, Gabriel Chamie, Phyllis C. Tien, C. Bradley Hare and John Stansell and has published in prestigious journals such as Hepatology, American Journal of Respiratory and Critical Care Medicine and Clinical Infectious Diseases.

In The Last Decade

Annie Luetkemeyer

20 papers receiving 565 citations

Author Peers

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

Author Last Decade Papers Cites
Annie Luetkemeyer 414 410 194 188 40 20 579
Giulia Tositti 334 0.8× 166 0.4× 271 1.4× 74 0.4× 64 1.6× 28 607
Maximilian C. Aichelburg 383 0.9× 250 0.6× 195 1.0× 148 0.8× 43 1.1× 32 533
G. Antonucci 496 1.2× 295 0.7× 337 1.7× 107 0.6× 106 2.6× 36 655
Mina John 276 0.7× 222 0.5× 165 0.9× 84 0.4× 125 3.1× 29 524
Xien Gui 343 0.8× 234 0.6× 163 0.8× 46 0.2× 75 1.9× 33 560
Assunta Navarra 310 0.7× 467 1.1× 34 0.2× 176 0.9× 36 0.9× 34 552
A. Frésard 243 0.6× 283 0.7× 79 0.4× 181 1.0× 125 3.1× 47 665
Alice Namale 312 0.8× 320 0.8× 74 0.4× 83 0.4× 19 0.5× 21 504
Grazia Tosone 369 0.9× 151 0.4× 386 2.0× 84 0.4× 19 0.5× 40 632
Philippe de Saussure 281 0.7× 108 0.3× 91 0.5× 200 1.1× 85 2.1× 22 581

Countries citing papers authored by Annie Luetkemeyer

Since Specialization
Citations

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

Fields of papers citing papers by Annie Luetkemeyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Annie Luetkemeyer

This figure shows the co-authorship network connecting the top 25 collaborators of Annie Luetkemeyer. A scholar is included among the top collaborators of Annie Luetkemeyer 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 Annie Luetkemeyer. Annie Luetkemeyer 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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