Kajia Cao

33 total papers · 2.5k total citations
21 papers, 1.6k citations indexed

About

Kajia Cao is a scholar working on Molecular Biology, Otorhinolaryngology and Cancer Research. According to data from OpenAlex, Kajia Cao has authored 21 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 8 papers in Otorhinolaryngology and 5 papers in Cancer Research. Recurrent topics in Kajia Cao's work include Head and Neck Cancer Studies (8 papers), RNA and protein synthesis mechanisms (3 papers) and Genetics, Aging, and Longevity in Model Organisms (3 papers). Kajia Cao is often cited by papers focused on Head and Neck Cancer Studies (8 papers), RNA and protein synthesis mechanisms (3 papers) and Genetics, Aging, and Longevity in Model Organisms (3 papers). Kajia Cao collaborates with scholars based in United States, China and Netherlands. Kajia Cao's co-authors include Li‐San Wang, Brian D. Gregory, Paul Ryvkin, Shelley L. Berger, Greg Donahue, F. Brad Johnson, Gert‐Jan Hendriks, Nancy M. Bonini, Masashi Abe and Yongqing Zhu and has published in prestigious journals such as Nature, Nucleic Acids Research and Genes & Development.

In The Last Decade

Kajia Cao

21 papers receiving 1.6k citations

Author Peers

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

Author Last Decade Papers Cites
Kajia Cao 1.2k 314 278 179 149 21 1.6k
Salah Mahmoudi 1.4k 1.2× 276 0.9× 280 1.0× 164 0.9× 182 1.2× 13 2.0k
Angela Hafner 987 0.9× 536 1.7× 176 0.6× 136 0.8× 88 0.6× 16 1.9k
Dena S. Leeman 1.2k 1.0× 232 0.7× 157 0.6× 314 1.8× 219 1.5× 15 2.0k
Lisa D. Boxer 1.4k 1.2× 375 1.2× 250 0.9× 78 0.4× 181 1.2× 15 2.3k
Itsuko Nakano 1.1k 0.9× 203 0.6× 128 0.5× 439 2.5× 99 0.7× 24 1.6k
Agustina D’Urso 1.2k 1.0× 379 1.2× 230 0.8× 56 0.3× 120 0.8× 13 2.0k
Alexander Y. Maslov 1.1k 1.0× 213 0.7× 514 1.8× 146 0.8× 119 0.8× 45 1.7k
Peggy Janich 1.1k 1.0× 274 0.9× 277 1.0× 141 0.8× 124 0.8× 24 1.9k
Pauline Isakson 983 0.9× 254 0.8× 142 0.5× 179 1.0× 163 1.1× 21 2.0k
John Alvarez 498 0.4× 224 0.7× 128 0.5× 133 0.7× 330 2.2× 25 1.4k

Countries citing papers authored by Kajia Cao

Since Specialization
Citations

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

Fields of papers citing papers by Kajia Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kajia Cao

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