Danielle A. Rankin

65 total papers · 591 total citations
37 papers, 265 citations indexed

About

Danielle A. Rankin is a scholar working on Epidemiology, Pulmonary and Respiratory Medicine and Infectious Diseases. According to data from OpenAlex, Danielle A. Rankin has authored 37 papers receiving a total of 265 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Epidemiology, 10 papers in Pulmonary and Respiratory Medicine and 7 papers in Infectious Diseases. Recurrent topics in Danielle A. Rankin's work include Respiratory viral infections research (20 papers), Pneumonia and Respiratory Infections (11 papers) and Antibiotic Resistance in Bacteria (5 papers). Danielle A. Rankin is often cited by papers focused on Respiratory viral infections research (20 papers), Pneumonia and Respiratory Infections (11 papers) and Antibiotic Resistance in Bacteria (5 papers). Danielle A. Rankin collaborates with scholars based in United States, Jordan and South Africa. Danielle A. Rankin's co-authors include Natasha Halasa, Zaid Haddadin, Andrew J. Spieker, Leigh M. Howard, Laura S Stewart, Susanna M. Hanekom, Hattie H. Wright, Tiffanie Markus, William Schaffner and Brendan Flannery and has published in prestigious journals such as SHILAP Revista de lepidopterología, Annals of Internal Medicine and PLoS ONE.

In The Last Decade

Danielle A. Rankin

36 papers receiving 258 citations

Author Peers

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

Author Last Decade Papers Cites
Danielle A. Rankin 142 83 63 32 31 37 265
Evangelos Kostis 103 0.7× 67 0.8× 32 0.5× 30 0.9× 28 0.9× 27 306
Bart Wolf 143 1.0× 77 0.9× 52 0.8× 32 1.0× 19 0.6× 22 312
Guy Hazan 114 0.8× 56 0.7× 70 1.1× 39 1.2× 13 0.4× 49 287
Lorenza Romani 68 0.5× 132 1.6× 54 0.9× 28 0.9× 35 1.1× 36 331
Terri Stillwell 130 0.9× 54 0.7× 59 0.9× 18 0.6× 38 1.2× 16 298
Dana M. Harris 121 0.9× 83 1.0× 29 0.5× 18 0.6× 62 2.0× 41 273
Nazlım Aktuğ Demir 85 0.6× 46 0.6× 22 0.3× 24 0.8× 46 1.5× 49 290
Inge Gurevich 104 0.7× 101 1.2× 30 0.5× 34 1.1× 45 1.5× 46 323
Annika Y. Claßen 121 0.9× 85 1.0× 29 0.5× 30 0.9× 33 1.1× 20 311
Amjad Kanj 95 0.7× 147 1.8× 75 1.2× 16 0.5× 20 0.6× 28 319

Countries citing papers authored by Danielle A. Rankin

Since Specialization
Citations

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

Fields of papers citing papers by Danielle A. Rankin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danielle A. Rankin. 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 Danielle A. Rankin. The network helps show where Danielle A. Rankin may publish in the future.

Co-authorship network of co-authors of Danielle A. Rankin

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