Kejie Mou

22 total papers · 677 total citations
19 papers, 275 citations indexed

About

Kejie Mou is a scholar working on Molecular Biology, Cancer Research and Neurology. According to data from OpenAlex, Kejie Mou has authored 19 papers receiving a total of 275 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Cancer Research and 3 papers in Neurology. Recurrent topics in Kejie Mou's work include Cancer-related molecular mechanisms research (3 papers), Intracranial Aneurysms: Treatment and Complications (3 papers) and Circular RNAs in diseases (3 papers). Kejie Mou is often cited by papers focused on Cancer-related molecular mechanisms research (3 papers), Intracranial Aneurysms: Treatment and Complications (3 papers) and Circular RNAs in diseases (3 papers). Kejie Mou collaborates with scholars based in China, Pakistan and Saudi Arabia. Kejie Mou's co-authors include Mina Chen, Xiaoqiang Xia, Peng Wang, Yan‐Hui Liu, Muhammad Tahir Khan, Qing Mao, Doaa Bahaa Eldin Darwish, Qing Mao, Peng Wang and Wen Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Molecules.

In The Last Decade

Kejie Mou

19 papers receiving 272 citations

Author Peers

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

Author Last Decade Papers Cites
Kejie Mou 118 60 45 34 32 19 275
Karthick Mayilsamy 125 1.1× 90 1.5× 17 0.4× 38 1.1× 32 1.0× 14 302
Patricia Calleja 67 0.6× 67 1.1× 46 1.0× 21 0.6× 14 0.4× 16 306
Amir R. Vosoughi 80 0.7× 33 0.6× 25 0.6× 16 0.5× 45 1.4× 29 279
Dimitrios Giakoumettis 81 0.7× 50 0.8× 29 0.6× 7 0.2× 34 1.1× 30 291
Karl J. Habashy 65 0.6× 67 1.1× 13 0.3× 20 0.6× 16 0.5× 23 222
Weiyang Ying 119 1.0× 21 0.3× 70 1.6× 14 0.4× 48 1.5× 15 328
Jaesung P. Choi 120 1.0× 82 1.4× 41 0.9× 11 0.3× 31 1.0× 18 317
Barbara Galbardi 53 0.4× 88 1.5× 12 0.3× 25 0.7× 17 0.5× 17 250
Cristina Ramondetti 136 1.2× 75 1.3× 9 0.2× 46 1.4× 25 0.8× 17 297
Carina M. Thomé 85 0.7× 18 0.3× 38 0.8× 14 0.4× 34 1.1× 13 321

Countries citing papers authored by Kejie Mou

Since Specialization
Citations

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

Fields of papers citing papers by Kejie Mou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kejie Mou

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