Krista Kniss

68 total papers · 4.1k total citations
24 papers, 688 citations indexed

About

Krista Kniss is a scholar working on Epidemiology, Infectious Diseases and Modeling and Simulation. According to data from OpenAlex, Krista Kniss has authored 24 papers receiving a total of 688 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Epidemiology, 8 papers in Infectious Diseases and 6 papers in Modeling and Simulation. Recurrent topics in Krista Kniss's work include Influenza Virus Research Studies (15 papers), Respiratory viral infections research (10 papers) and COVID-19 epidemiological studies (6 papers). Krista Kniss is often cited by papers focused on Influenza Virus Research Studies (15 papers), Respiratory viral infections research (10 papers) and COVID-19 epidemiological studies (6 papers). Krista Kniss collaborates with scholars based in United States, United Kingdom and Puerto Rico. Krista Kniss's co-authors include Lynnette Brammer, Carrie Reed, Daniel B. Jernigan, Joseph Bresee, Alicia M. Fry, Laurie Kamimoto, Matthew Biggerstaff, Desiree Mustaquim, Lenee Blanton and David L. Swerdlow and has published in prestigious journals such as PEDIATRICS, Clinical Infectious Diseases and American Journal of Epidemiology.

In The Last Decade

Krista Kniss

23 papers receiving 666 citations

Author Peers

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

Author Last Decade Papers Cites
Krista Kniss 444 276 161 155 58 24 688
Philippe Barboza 525 1.2× 209 0.8× 181 1.1× 143 0.9× 60 1.0× 19 753
L Vaillant 506 1.1× 186 0.7× 108 0.7× 122 0.8× 46 0.8× 21 751
Weizhong Yang 366 0.8× 234 0.8× 288 1.8× 215 1.4× 85 1.5× 27 769
Santiago Echevarría‐Zuno 578 1.3× 226 0.8× 55 0.3× 303 2.0× 56 1.0× 16 748
Concepción Grajales-Muñíz 410 0.9× 306 1.1× 52 0.3× 136 0.9× 40 0.7× 36 703
Shuangsheng Wu 429 1.0× 245 0.9× 90 0.6× 133 0.9× 43 0.7× 59 675
Alin Gherasim 312 0.7× 185 0.7× 97 0.6× 54 0.3× 36 0.6× 22 627
Carmen Sofia Arriola 391 0.9× 202 0.7× 91 0.6× 87 0.6× 78 1.3× 29 617
Dang Dinh Thoang 288 0.6× 112 0.4× 74 0.5× 169 1.1× 34 0.6× 15 602
Daniela Pițigoi 562 1.3× 289 1.0× 61 0.4× 104 0.7× 73 1.3× 52 766

Countries citing papers authored by Krista Kniss

Since Specialization
Citations

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

Fields of papers citing papers by Krista Kniss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Krista Kniss

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