Shengjun Hong

1.2k total citations
9 papers, 389 citations indexed

About

Shengjun Hong is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cognitive Neuroscience. According to data from OpenAlex, Shengjun Hong has authored 9 papers receiving a total of 389 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 1 paper in Pulmonary and Respiratory Medicine and 1 paper in Cognitive Neuroscience. Recurrent topics in Shengjun Hong's work include Bioinformatics and Genomic Networks (7 papers), Gene expression and cancer classification (5 papers) and RNA Research and Splicing (3 papers). Shengjun Hong is often cited by papers focused on Bioinformatics and Genomic Networks (7 papers), Gene expression and cancer classification (5 papers) and RNA Research and Splicing (3 papers). Shengjun Hong collaborates with scholars based in China, United States and Sweden. Shengjun Hong's co-authors include Jin Li, Momiao Xiong, Hoicheong Siu, Li Luo, Pengfei Hu, Xiangning Chen, Gang Peng, Xiaodong Zhou, Yun Zhu and Christopher I. Amos and has published in prestigious journals such as Nucleic Acids Research, Cerebral Cortex and Cell Reports.

In The Last Decade

Shengjun Hong

9 papers receiving 381 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shengjun Hong China	6	258	156	88	25	20	9	389
Efren Sandoval United States	4	258 1.0×	183 1.2×	47 0.5×	13 0.5×	15 0.8×	4	393
Zachary Zappala United States	6	266 1.0×	244 1.6×	73 0.8×	10 0.4×	28 1.4×	6	420
Andrew R. Jackson United States	8	285 1.1×	147 0.9×	100 1.1×	9 0.4×	38 1.9×	9	375
Ivan Limongelli Italy	11	187 0.7×	165 1.1×	29 0.3×	16 0.6×	15 0.8×	19	370
Laurence Meyer United States	4	283 1.1×	63 0.4×	72 0.8×	22 0.9×	22 1.1×	16	366
Shangtao Liu United States	6	475 1.8×	182 1.2×	46 0.5×	10 0.4×	33 1.6×	11	636
Ryan O’Rourke United States	5	180 0.7×	68 0.4×	96 1.1×	21 0.8×	36 1.8×	7	286
Sveinung Gundersen Norway	8	325 1.3×	70 0.4×	69 0.8×	28 1.1×	57 2.9×	11	461
Anason Halees United States	9	458 1.8×	196 1.3×	96 1.1×	11 0.4×	37 1.9×	14	644
Denise E. Mauldin United States	7	177 0.7×	178 1.1×	39 0.4×	10 0.4×	18 0.9×	7	302

Countries citing papers authored by Shengjun Hong

Since Specialization

Citations

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

Fields of papers citing papers by Shengjun Hong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shengjun Hong

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

All Works

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9 of 9 papers shown

1.

Fjell, Anders M., Donatas Sederevičius, Markus H. Sneve, et al.. (2019). Self-reported Sleep Problems Related to Amyloid Deposition in Cortical Regions with High HOMER1 Gene Expression. Cerebral Cortex. 30(4). 2144–2156. 13 indexed citations

2.

Chen, Xingwei, Shengjun Hong, Xian Xia, et al.. (2019). Immune Cell Types and Secreted Factors Contributing to Inflammation-to-Cancer Transition and Immune Therapy Response. Cell Reports. 26(7). 1965–1977.e4. 29 indexed citations

3.

Hong, Shengjun, Yi Huang, Yaqiang Cao, Xingwei Chen, & Jing‐Dong J. Han. (2014). Approaches to uncovering cancer diagnostic and prognostic molecular signatures. Molecular & Cellular Oncology. 1(2). e957981–e957981. 2 indexed citations

4.

Hong, Shengjun, Xiangning Chen, Jin Li, & Momiao Xiong. (2013). Canonical correlation analysis for RNA-seq co-expression networks. Nucleic Acids Research. 41(8). e95–e95. 62 indexed citations

5.

Hong, Shengjun, Hua Dong, Jin Li, & Momiao Xiong. (2011). Gene co-expression network and functional module analysis of ovarian cancer. International Journal of Computational Biology and Drug Design. 4(2). 147–147. 13 indexed citations

6.

Luo, Li, Shengjun Hong, Hoicheong Siu, et al.. (2010). Integrated analysis of mutations, miRNA and mRNA expression in glioblastoma. BMC Systems Biology. 4(1). 163–163. 74 indexed citations

7.

Dong, Hua, et al.. (2010). Meta-analysis and Network Analysis of Five Ovarian Cancer Gene Expression Dataset. 242–246. 4 indexed citations

8.

Hong, Shengjun, Hua Dong, Jin Li, & Momiao Xiong. (2010). Gene co-expression network analysis of two ovarian cancer datasets. 19. 269–274. 1 indexed citations

9.

Peng, Gang, Li Luo, Hoicheong Siu, et al.. (2009). Gene and pathway-based second-wave analysis of genome-wide association studies. European Journal of Human Genetics. 18(1). 111–117. 191 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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