Jiekun Yang

59 total papers · 1.3k total citations
23 papers, 712 citations indexed

About

Jiekun Yang is a scholar working on Molecular Biology, Physiology and Oncology. According to data from OpenAlex, Jiekun Yang has authored 23 papers receiving a total of 712 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 7 papers in Physiology and 5 papers in Oncology. Recurrent topics in Jiekun Yang's work include Genomics and Chromatin Dynamics (5 papers), Genetic Associations and Epidemiology (4 papers) and CRISPR and Genetic Engineering (4 papers). Jiekun Yang is often cited by papers focused on Genomics and Chromatin Dynamics (5 papers), Genetic Associations and Epidemiology (4 papers) and CRISPR and Genetic Engineering (4 papers). Jiekun Yang collaborates with scholars based in United States, China and Finland. Jiekun Yang's co-authors include Mazhar Adli, Cem Kuscu, Turan Tufan, Xiaolong Wei, Karol Szlachta, Mahmut Parlak, Rashad Mammadov, M D Li, Ming D. Li and Manolis Kellis and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Cell Metabolism.

In The Last Decade

Jiekun Yang

21 papers receiving 706 citations

Author Peers

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

Author						Papers	Cites
Jiekun Yang	552	150	105	98	59	23	712
Ha Eun Kong	719 1.3×	118 0.8×	46 0.4×	64 0.7×	44 0.7×	15	823
Melvin Y. Rincón	479 0.9×	260 1.7×	89 0.8×	57 0.6×	69 1.2×	22	793
Delphine Larrieu	732 1.3×	53 0.4×	123 1.2×	82 0.8×	36 0.6×	16	849
Yanjiao Shao	616 1.1×	248 1.7×	34 0.3×	75 0.8×	48 0.8×	25	840
Luka Bočkor	672 1.2×	196 1.3×	32 0.3×	75 0.8×	36 0.6×	23	846
Chang Sik Cho	505 0.9×	147 1.0×	25 0.2×	46 0.5×	44 0.7×	26	733
David Yao	464 0.8×	93 0.6×	38 0.4×	43 0.4×	31 0.5×	12	626
Yumei Song	444 0.8×	175 1.2×	34 0.3×	216 2.2×	58 1.0×	20	787
Lichun Tang	506 0.9×	79 0.5×	58 0.6×	37 0.4×	38 0.6×	21	645
Xingcheng Gao	523 0.9×	72 0.5×	259 2.5×	32 0.3×	21 0.4×	22	865

Countries citing papers authored by Jiekun Yang

Since Specialization

Citations

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

Fields of papers citing papers by Jiekun Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiekun Yang

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