Sijia Kong

26 total papers · 668 total citations
22 papers, 506 citations indexed

About

Sijia Kong is a scholar working on Molecular Biology, Oncology and Biomedical Engineering. According to data from OpenAlex, Sijia Kong has authored 22 papers receiving a total of 506 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Biomedical Engineering. Recurrent topics in Sijia Kong's work include Microbial Metabolic Engineering and Bioproduction (12 papers), Plant biochemistry and biosynthesis (6 papers) and Enzyme Catalysis and Immobilization (5 papers). Sijia Kong is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (12 papers), Plant biochemistry and biosynthesis (6 papers) and Enzyme Catalysis and Immobilization (5 papers). Sijia Kong collaborates with scholars based in China, United States and Austria. Sijia Kong's co-authors include Daoyi Guo, Hong Pan, B. Levin, Patrick M. Lynch, Marsha L. Frazier, Xun Li, Christopher I. Amos, Raja Luthra, Lihua Zhang and Zhijie Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, JNCI Journal of the National Cancer Institute and Bioresource Technology.

In The Last Decade

Sijia Kong

20 papers receiving 501 citations

Author Peers

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

Author Last Decade Papers Cites
Sijia Kong 333 168 107 76 59 22 506
Suraj K. George 203 0.6× 97 0.6× 55 0.5× 82 1.1× 16 0.3× 23 515
Chandrasekhar Kathera 448 1.3× 129 0.8× 37 0.3× 33 0.4× 34 0.6× 18 585
Ahad Khalilnezhad 285 0.9× 175 1.0× 47 0.4× 50 0.7× 12 0.2× 17 572
Kusum Rathore 235 0.7× 170 1.0× 61 0.6× 93 1.2× 63 1.1× 23 606
Akihiro Yamamura 369 1.1× 188 1.1× 54 0.5× 37 0.5× 47 0.8× 42 586
Yougen Wu 302 0.9× 119 0.7× 51 0.5× 25 0.3× 25 0.4× 24 568
Hui Li 240 0.7× 104 0.6× 47 0.4× 22 0.3× 17 0.3× 32 491
Omar Rahal 329 1.0× 198 1.2× 81 0.8× 36 0.5× 16 0.3× 20 618
Zebin Hu 256 0.8× 217 1.3× 46 0.4× 30 0.4× 83 1.4× 18 545
Yan Zhang 290 0.9× 94 0.6× 37 0.3× 80 1.1× 13 0.2× 40 599

Countries citing papers authored by Sijia Kong

Since Specialization
Citations

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

Fields of papers citing papers by Sijia Kong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sijia Kong

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