Kunjie Fan

402 total citations
12 papers, 248 citations indexed

About

Kunjie Fan is a scholar working on Molecular Biology, Computational Theory and Mathematics and Artificial Intelligence. According to data from OpenAlex, Kunjie Fan has authored 12 papers receiving a total of 248 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Computational Theory and Mathematics and 2 papers in Artificial Intelligence. Recurrent topics in Kunjie Fan's work include Bioinformatics and Genomic Networks (7 papers), Computational Drug Discovery Methods (6 papers) and CRISPR and Genetic Engineering (3 papers). Kunjie Fan is often cited by papers focused on Bioinformatics and Genomic Networks (7 papers), Computational Drug Discovery Methods (6 papers) and CRISPR and Genetic Engineering (3 papers). Kunjie Fan collaborates with scholars based in United States and China. Kunjie Fan's co-authors include Yang Fang, Dandan Song, Lang Li, Lijun Cheng, Yan Zhang, Yuanfang Guan, Shan Tang, Xue Wu, Long Fan and Y. Li and has published in prestigious journals such as Nucleic Acids Research, BMC Bioinformatics and Briefings in Bioinformatics.

In The Last Decade

Kunjie Fan

12 papers receiving 244 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Kunjie Fan United States	7	190	104	32	18	16	12	248
Aleksandar Poleksić United States	9	245 1.3×	120 1.2×	36 1.1×	9 0.5×	44 2.8×	25	325
Qianmu Yuan China	12	413 2.2×	146 1.4×	24 0.8×	14 0.8×	20 1.3×	16	480
Pooya Zakeri Belgium	8	219 1.2×	62 0.6×	23 0.7×	11 0.6×	13 0.8×	10	277
Aayah Nounu United Kingdom	5	199 1.0×	121 1.2×	98 3.1×	10 0.6×	30 1.9×	7	295
Timothy Sheils United States	9	222 1.2×	130 1.3×	11 0.3×	23 1.3×	19 1.2×	12	313
Delora Baptista Portugal	4	125 0.7×	117 1.1×	29 0.9×	8 0.4×	50 3.1×	7	194
Bulat Zagidullin Finland	4	155 0.8×	161 1.5×	18 0.6×	15 0.8×	43 2.7×	7	235
Manon Réau France	8	209 1.1×	163 1.6×	26 0.8×	6 0.3×	69 4.3×	11	318
Joseph Saad Finland	3	158 0.8×	109 1.0×	15 0.5×	14 0.8×	21 1.3×	8	213
Xianfang Tang China	9	183 1.0×	188 1.8×	41 1.3×	11 0.6×	20 1.3×	20	279

Countries citing papers authored by Kunjie Fan

Since Specialization

Citations

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

Fields of papers citing papers by Kunjie Fan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kunjie Fan

This figure shows the co-authorship network connecting the top 25 collaborators of Kunjie Fan. A scholar is included among the top collaborators of Kunjie Fan 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 Kunjie Fan. Kunjie Fan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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12 of 12 papers shown

Fan, Kunjie, et al.. (2024). Synthetic lethal connectivity and graph transformer improve synthetic lethality prediction. Briefings in Bioinformatics. 25(5). 2 indexed citations

Fan, Kunjie, Y. Li, Zhiwei Chen, & Long Fan. (2024). GenRCA: a user-friendly rare codon analysis tool for comprehensive evaluation of codon usage preferences based on coding sequences in genomes. BMC Bioinformatics. 25(1). 309–309. 6 indexed citations

Xie, Weixin, Kunjie Fan, Zhang Shi-jun, & Lang Li. (2023). Multiple sampling schemes and deep learning improve active learning performance in drug-drug interaction information retrieval analysis from the literature. Journal of Biomedical Semantics. 14(1). 5–5. 2 indexed citations

Tang, Shan, Kunjie Fan, Lijun Cheng, et al.. (2023). SLKB: synthetic lethality knowledge base. Nucleic Acids Research. 52(D1). D1418–D1428. 8 indexed citations

Fan, Kunjie, et al.. (2023). Multi-view graph convolutional network for cancer cell-specific synthetic lethality prediction. Frontiers in Genetics. 13. 1103092–1103092. 12 indexed citations

Tang, Shan, et al.. (2022). Synthetic lethal gene pairs: Experimental approaches and predictive models. Frontiers in Genetics. 13. 961611–961611. 16 indexed citations

Tang, Shan, Xue Wu, Jinghui Liu, et al.. (2022). Generation of dual-gRNA library for combinatorial CRISPR screening of synthetic lethal gene pairs. STAR Protocols. 3(3). 101556–101556. 6 indexed citations

Fan, Kunjie, Lijun Cheng, & Lang Li. (2021). Artificial intelligence and machine learning methods in predicting anti-cancer drug combination effects. Briefings in Bioinformatics. 22(6). 49 indexed citations

Li, Jin, Xue Wu, Zhi Jiang Zeng, et al.. (2020). Essentiality and Transcriptome-Enriched Pathway Scores Predict Drug-Combination Synergy. Biology. 9(9). 278–278. 11 indexed citations

10.

Fan, Kunjie & Yan Zhang. (2020). Pseudo2GO: A Graph-Based Deep Learning Method for Pseudogene Function Prediction by Borrowing Information From Coding Genes. Frontiers in Genetics. 11. 807–807. 4 indexed citations

11.

Fang, Yang, et al.. (2020). Graph-based prediction of Protein-protein interactions with attributed signed graph embedding. BMC Bioinformatics. 21(1). 323–323. 99 indexed citations

12.

Fan, Kunjie, Yuanfang Guan, & Yan Zhang. (2020). Graph2GO: a multi-modal attributed network embedding method for inferring protein functions. GigaScience. 9(8). 33 indexed citations

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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