Nina Kung

41 total papers · 1.8k total citations
28 papers, 919 citations indexed

About

Nina Kung is a scholar working on Epidemiology, Infectious Diseases and Agronomy and Crop Science. According to data from OpenAlex, Nina Kung has authored 28 papers receiving a total of 919 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Epidemiology, 20 papers in Infectious Diseases and 14 papers in Agronomy and Crop Science. Recurrent topics in Nina Kung's work include Viral Infections and Vectors (19 papers), Virology and Viral Diseases (15 papers) and Animal Disease Management and Epidemiology (14 papers). Nina Kung is often cited by papers focused on Viral Infections and Vectors (19 papers), Virology and Viral Diseases (15 papers) and Animal Disease Management and Epidemiology (14 papers). Nina Kung collaborates with scholars based in Australia, United States and China. Nina Kung's co-authors include Hume Field, Barbara Moloney, T.M. Ellis, Yi Guan, Malik Peiris, Daniel Edson, ROGER S. MORRIS, Craig Smith, NR Perkins and Amanda McLaughlin and has published in prestigious journals such as PLoS ONE, Emerging infectious diseases and Veterinary Microbiology.

In The Last Decade

Nina Kung

27 papers receiving 887 citations

Author Peers

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

Author Last Decade Papers Cites
Nina Kung 564 542 362 225 176 28 919
Sophie Molia 400 0.7× 505 0.9× 291 0.8× 231 1.0× 208 1.2× 47 942
Aziz Jamaluddin 633 1.1× 815 1.5× 264 0.7× 205 0.9× 312 1.8× 14 1.1k
James Neufeld 796 1.4× 542 1.0× 412 1.1× 116 0.5× 118 0.7× 22 1.1k
Sohayati Abdul Rahman 421 0.7× 562 1.0× 158 0.4× 198 0.9× 263 1.5× 7 815
M. Page Luttrell 491 0.9× 753 1.4× 337 0.9× 224 1.0× 115 0.7× 36 1.2k
Jean Payne 612 1.1× 553 1.0× 173 0.5× 122 0.5× 106 0.6× 27 891
Simon J. Anthony 283 0.5× 548 1.0× 229 0.6× 106 0.5× 267 1.5× 23 981
Be‐Nazir Ahmed 669 1.2× 602 1.1× 154 0.4× 83 0.4× 534 3.0× 37 1.2k
Mohammed M. Feeroz 670 1.2× 444 0.8× 501 1.4× 111 0.5× 75 0.4× 54 1.0k
Ian H. Mendenhall 350 0.6× 781 1.4× 116 0.3× 217 1.0× 263 1.5× 57 1.2k

Countries citing papers authored by Nina Kung

Since Specialization
Citations

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

Fields of papers citing papers by Nina Kung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nina Kung

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