Kejun He

1.6k total citations · 2 hit papers
40 papers, 944 citations indexed

About

Kejun He is a scholar working on Molecular Biology, Artificial Intelligence and Statistics and Probability. According to data from OpenAlex, Kejun He has authored 40 papers receiving a total of 944 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 9 papers in Artificial Intelligence and 8 papers in Statistics and Probability. Recurrent topics in Kejun He's work include Statistical Methods and Inference (8 papers), Sparse and Compressive Sensing Techniques (6 papers) and Glioma Diagnosis and Treatment (4 papers). Kejun He is often cited by papers focused on Statistical Methods and Inference (8 papers), Sparse and Compressive Sensing Techniques (6 papers) and Glioma Diagnosis and Treatment (4 papers). Kejun He collaborates with scholars based in China, United States and Hong Kong. Kejun He's co-authors include Xianyang Zhang, Huijuan Zhou, Jun Chen, Nu Zhang, Maolei Zhang, Xuesong Yang, Huangkai Zhou, Feizhe Xiao, Yibing Yang and Suyun Huang and has published in prestigious journals such as Nature Communications, Journal of the American Statistical Association and Technometrics.

In The Last Decade

Kejun He

28 papers receiving 933 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A peptide encoded by circular form of LINC-PINT suppresses oncogenic transcriptional elongation in glioblastoma

2018 548 citations Maolei Zhang, Kun Zhao et al. Nature Communications profile →
LinDA: linear models for differential abundance analysis of microbiome compositional data

2022 181 citations Huijuan Zhou, Kejun He et al. Genome biology profile →

Peers

Countries citing papers authored by Kejun He

Since Specialization

Citations

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

Fields of papers citing papers by Kejun He

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kejun He

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Identification and Protective Strategies for “Cortical Dangerous Veins” in Neurosurgical Craniotomies 2025 ·World Neurosurgery ·San‐San Ou, (unknown), (unknown), Jia Yang, Eui Soo Han, (unknown), Fanying Li, Yuanlin Chen, Yongfu Li, Kejun He	0
2	Reduced-rank clustered coefficient regression for addressing multicollinearity in heterogeneous coefficient estimation 2024 ·Biometrics ·Yan Zhong, Kejun He, (unknown)	0
3	Joint mirror procedure: controlling false discovery rate for identifying simultaneous signals 2024 ·Biometrics ·(unknown), Kejun He, Xianyang Zhang	1
4	Aggrephagy-related gene signature correlates with survival and tumor-associated macrophages in glioma: Insights from single-cell and bulk RNA sequencing 2024 ·Mathematical Biosciences & Engineering ·Xiaowei Zhang, (unknown), Xinyu Zhang, (unknown), (unknown), (unknown), Kejun He	4
5	Penalized spline estimation of principal components for sparse functional data: Rates of convergence 2024 ·Bernoulli ·(unknown), Jianhua Z. Huang, Kejun He	0
6	The gut microbiota and metabolite profiles are altered in patients with spinal cord injury 2023 ·Molecular Brain ·Ganggang Kong, Wenwu Zhang, (unknown), Jiewen Chen, Kejun He, Changming Zhang, Xi Yuan, Baoshu Xie	18
7	Functional Bayesian Networks for Discovering Causality from Multivariate Functional Data 2023 ·Biometrics ·(unknown), Kejun He, Kunbo Wang, Yanxun Xu, Yang Ni	2
8	Bayesian Nonlinear Tensor Regression with Functional Fused Elastic Net Prior 2023 ·Technometrics ·(unknown), Kejun He, (unknown), Yang Ni, Raymond K. W. Wong	1
9	Operative treatment of cystic prolactinomas: a retrospective study 2023 ·BMC Endocrine Disorders ·Weijie Su, Kejun He, Yibing Yang, (unknown), Xixi Li, (unknown), (unknown), Lixuan Yang	5
10	The causal effects between selenium levels and the brain cortical structure: A two‐sample Mendelian randomization study 2023 ·Brain and Behavior ·(unknown), (unknown), Kejun He	3
11	Individualized Causal Discovery with Latent Trajectory Embedded Bayesian Networks 2023 ·Biometrics ·(unknown), Kejun He, Yang Ni	1
12	Circular EZH2-encoded EZH2-92aa mediates immune evasion in glioblastoma via inhibition of surface NKG2D ligands 2022 ·Nature Communications ·Jian Zhong, Xuesong Yang, (unknown), Kejun He, Xinya Gao, Xujia Wu, Maolei Zhang, Huangkai Zhou, Feizhe Xiao, (unknown), Xiuxing Wang, Yu Shi, Nu Zhang	53
13	LinDA: linear models for differential abundance analysis of microbiome compositional data breakdown → 2022 ·Genome biology ·Huijuan Zhou, Kejun He, Jun Chen, Xianyang Zhang	181
14	Risk Factors for Cerebral Infarction After Microsurgical Clipping of Hunt-Hess Grade 0–2 Single Intracranial Aneurysm: A Retrospective Study 2022 ·World Neurosurgery ·Yibing Yang, Kejun He, Linfeng Liu, Fanying Li, Guofeng Zhang, Baoshu Xie, Liang Feng	1
15	Challenges and opportunities for managing pediatric central nervous system tumors in China 2020 ·Pediatric Investigation ·(unknown), Daniel C. Moreira, (unknown), (unknown), Yijin Gao, Bo Yang, Chenran Zhang, Kejun He, Xiaojun Yuan, Gcf Chan, Xiaofei Sun, Xiaoli Ma, Ibrahim Qaddoumi	8
16	Metabolic tumor burden on baseline 18F-FDG PET/CT improves risk stratification in pediatric patients with mature B-cell lymphoma 2019 ·European Journal of Nuclear Medicine and Molecular Imaging ·Suyun Chen, Kejun He, Fang Fěng, Shaoyan Wang, Yafu Yin, Hongliang Fu, Hui Wang	18
17	A peptide encoded by circular form of LINC-PINT suppresses oncogenic transcriptional elongation in glioblastoma breakdown → 2018 ·Nature Communications ·Maolei Zhang, Kun Zhao, Xiaoping Xu, Yibing Yang, Sheng Yan, Ping Wei, Hui Liu, Jianbo Xu, Feizhe Xiao, Huangkai Zhou, Xuesong Yang, Nunu Huang, Jinglei Liu, Kejun He, Keping Xie, Gong Zhang, Suyun Huang, Nu Zhang	548
18	PET/CT predicts bone marrow involvement in paediatric non-Hodgkin lymphoma and may preclude the need for bone marrow biopsy in selected patients 2018 ·European Radiology ·Suyun Chen, Shaoyan Wang, Kejun He, Chao Ma, Hongliang Fu, Hui Wang	18
19	The non-invasive exfoliated transcriptome (exfoliome) reflects the tissue-level transcriptome in a mouse model of NSAID enteropathy 2017 ·Scientific Reports ·Canaan Whitfield-Cargile, Noah D. Cohen, Kejun He, Ivan Ivanov, Jennifer S. Goldsby, (unknown), Brad R. Weeks, Laurie A. Davidson, Robert S. Chapkin	20
20	Metadherin/Astrocyte elevated gene-1 positively regulates the stability and function of forkhead box M1 during tumorigenesis 2016 ·Neuro-Oncology ·Lixuan Yang, Kejun He, Sheng Yan, Yibing Yang, Xinya Gao, Maolei Zhang, Zhibo Xia, (unknown), Suyun Huang, Nu Zhang	19

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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