Junliang Shang

294 total papers · 1.6k total citations
127 papers, 1.0k citations indexed

About

Junliang Shang is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Junliang Shang has authored 127 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 92 papers in Molecular Biology, 23 papers in Cancer Research and 18 papers in Genetics. Recurrent topics in Junliang Shang's work include Gene expression and cancer classification (43 papers), Bioinformatics and Genomic Networks (39 papers) and Machine Learning in Bioinformatics (18 papers). Junliang Shang is often cited by papers focused on Gene expression and cancer classification (43 papers), Bioinformatics and Genomic Networks (39 papers) and Machine Learning in Bioinformatics (18 papers). Junliang Shang collaborates with scholars based in China, Taiwan and South Korea. Junliang Shang's co-authors include Jin‐Xing Liu, Chun-Hou Zheng, Ying-Lian Gao, Shasha Yuan, Junying Zhang, Ling-Yun Dai, Juan Wang, Shengjun Li, Yan Sun and Feng Li and has published in prestigious journals such as Bioinformatics, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Junliang Shang

107 papers receiving 993 citations

Author Peers

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

Author						Papers	Cites
Junliang Shang	522	254	164	130	117	127	1.0k
Paola Bertolazzi	403 0.8×	67 0.3×	152 0.9×	112 0.9×	152 1.3×	54	975
Yuping Sun	300 0.6×	85 0.3×	114 0.7×	176 1.4×	50 0.4×	56	1.1k
Tianyi Zang	607 1.2×	67 0.3×	119 0.7×	104 0.8×	34 0.3×	65	905
Madhavi K. Ganapathiraju	632 1.2×	116 0.5×	92 0.6×	30 0.2×	42 0.4×	55	1.2k
Hong Wang	153 0.3×	86 0.3×	172 1.0×	46 0.4×	49 0.4×	100	1.0k
Yen‐Jen Oyang	294 0.6×	52 0.2×	215 1.3×	31 0.2×	84 0.7×	71	980
Kenji Satou	662 1.3×	51 0.2×	134 0.8×	199 1.5×	48 0.4×	96	1.0k
Alioune Ngom	537 1.0×	37 0.1×	253 1.5×	69 0.5×	40 0.3×	90	1.2k
Ruijie Zhang	385 0.7×	114 0.4×	82 0.5×	79 0.6×	11 0.1×	84	1.1k
Chunyan Li	325 0.6×	33 0.1×	275 1.7×	149 1.1×	212 1.8×	69	1.1k

Countries citing papers authored by Junliang Shang

Since Specialization

Citations

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

Fields of papers citing papers by Junliang Shang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junliang Shang

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