Robert P. Gie

207 total papers · 10.0k total citations
155 papers, 7.0k citations indexed

About

Robert P. Gie is a scholar working on Infectious Diseases, Epidemiology and Surgery. According to data from OpenAlex, Robert P. Gie has authored 155 papers receiving a total of 7.0k indexed citations (citations by other indexed papers that have themselves been cited), including 89 papers in Infectious Diseases, 73 papers in Epidemiology and 68 papers in Surgery. Recurrent topics in Robert P. Gie's work include Tuberculosis Research and Epidemiology (83 papers), Infectious Diseases and Tuberculosis (40 papers) and Pneumonia and Respiratory Infections (32 papers). Robert P. Gie is often cited by papers focused on Tuberculosis Research and Epidemiology (83 papers), Infectious Diseases and Tuberculosis (40 papers) and Pneumonia and Respiratory Infections (32 papers). Robert P. Gie collaborates with scholars based in South Africa, United States and France. Robert P. Gie's co-authors include Nulda Beyers, H. Simon Schaaf, Ben J. Marais, Anneke C. Hesseling, Peter R. Donald, Donald A. Enarson, Robin M. Warren, Paul D. van Helden, Pierre Goussard and Annelies Van Rie and has published in prestigious journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and The Lancet.

In The Last Decade

Robert P. Gie

155 papers receiving 6.7k citations

Hit Papers

The natural history of ch... 2004 2026 2011 2018 2004 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Robert P. Gie 5.3k 4.0k 3.1k 900 680 155 7.0k
Neil W. Schluger 3.9k 0.7× 2.9k 0.7× 1.7k 0.5× 524 0.6× 545 0.8× 122 5.8k
Shahid Husain 5.2k 1.0× 6.6k 1.6× 2.3k 0.7× 1.0k 1.1× 807 1.2× 250 10.3k
Dixie E. Snider 4.3k 0.8× 3.5k 0.9× 2.4k 0.8× 378 0.4× 309 0.5× 78 6.2k
Nina Singh 5.9k 1.1× 8.1k 2.0× 1.5k 0.5× 364 0.4× 591 0.9× 162 10.5k
Robert S. Holzman 2.4k 0.4× 2.3k 0.6× 1.2k 0.4× 675 0.8× 664 1.0× 156 6.3k
Marc Lipman 6.2k 1.2× 4.8k 1.2× 2.2k 0.7× 1.5k 1.7× 485 0.7× 292 9.1k
Fred M. Gordin 6.4k 1.2× 7.0k 1.7× 2.1k 0.7× 338 0.4× 602 0.9× 80 9.5k
Luís E. Cuevas 5.1k 1.0× 3.5k 0.9× 1.4k 0.4× 247 0.3× 284 0.4× 248 7.6k
Katalin A. Wilkinson 5.3k 1.0× 4.5k 1.1× 3.0k 1.0× 1.6k 1.8× 264 0.4× 133 7.6k
José Domínguez 2.3k 0.4× 2.6k 0.7× 1.4k 0.4× 430 0.5× 396 0.6× 178 4.1k

Countries citing papers authored by Robert P. Gie

Since Specialization
Citations

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

Fields of papers citing papers by Robert P. Gie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert P. Gie. 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 Robert P. Gie. The network helps show where Robert P. Gie may publish in the future.

Co-authorship network of co-authors of Robert P. Gie

This figure shows the co-authorship network connecting the top 25 collaborators of Robert P. Gie. A scholar is included among the top collaborators of Robert P. Gie 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 Robert P. Gie. Robert P. Gie 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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