Tongjun Gu

578 total citations
32 papers, 380 citations indexed

About

Tongjun Gu is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Tongjun Gu has authored 32 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 9 papers in Cancer Research and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Tongjun Gu's work include MicroRNA in disease regulation (7 papers), RNA Research and Splicing (6 papers) and RNA regulation and disease (5 papers). Tongjun Gu is often cited by papers focused on MicroRNA in disease regulation (7 papers), RNA Research and Splicing (6 papers) and RNA regulation and disease (5 papers). Tongjun Gu collaborates with scholars based in United States, China and Japan. Tongjun Gu's co-authors include Robert E. Braun, F. William Buaas, Xiwu Zhao, Cheryl L. Ackert‐Bicknell, Matthew Hibbs, W. Brad Barbazuk, Ji‐Hyun Lee, Sang‐Joon Ahn, Kelly C. Rice and Mingyi Xie and has published in prestigious journals such as Nucleic Acids Research, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Tongjun Gu

29 papers receiving 372 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tongjun Gu United States 10 272 125 37 28 28 32 380
Musheng Li China 10 324 1.2× 229 1.8× 8 0.2× 13 0.5× 27 1.0× 19 442
Nasir Javaid South Korea 10 232 0.9× 39 0.3× 13 0.4× 18 0.6× 27 1.0× 18 382
Rashmi Ramesh New Zealand 5 268 1.0× 63 0.5× 27 0.7× 29 1.0× 20 0.7× 13 388
Xiaobin Xie China 11 217 0.8× 97 0.8× 8 0.2× 30 1.1× 20 0.7× 16 349
Kaiqing Liu China 11 219 0.8× 144 1.2× 39 1.1× 56 2.0× 46 1.6× 16 340
Jiongjie Jing China 12 178 0.7× 118 0.9× 28 0.8× 46 1.6× 81 2.9× 25 349
Meiqiang Chu China 10 140 0.5× 97 0.8× 48 1.3× 14 0.5× 32 1.1× 16 308
Jianbo Liu China 9 197 0.7× 173 1.4× 48 1.3× 9 0.3× 34 1.2× 25 307
Svetlana M. Dolgilevich United States 11 216 0.8× 23 0.2× 28 0.8× 25 0.9× 25 0.9× 13 349

Countries citing papers authored by Tongjun Gu

Since Specialization
Citations

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

Fields of papers citing papers by Tongjun Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tongjun Gu

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

All Works

20 of 20 papers shown
1.
Zhao, Jinying, Tongjun Gu, Cheng Gao, et al.. (2025). Brain 5-hydroxymethylcytosine alterations are associated with Alzheimer’s disease neuropathology. Nature Communications. 16(1). 2842–2842. 6 indexed citations
2.
Zhao, Helong, Kent C. Johnson, Anthony D. Pomicter, et al.. (2025). The small GTPase ARF6 regulates sphingolipid homeostasis and supports proliferation in acute myeloid leukemia. Haematologica. 111(1). 135–148.
3.
Gu, Tongjun, et al.. (2025). RNAF: Regularization neural attenuation fields for sparse-view CBCT reconstruction. Journal of X-Ray Science and Technology. 33(4). 713–725. 1 indexed citations
4.
Yang, Changlin, et al.. (2024). Identification of tumor rejection antigens and the immunologic landscape of medulloblastoma. Genome Medicine. 16(1). 102–102. 4 indexed citations
5.
Duarte, Poliana Mendes, et al.. (2024). Distinctive genes and signaling pathways associated with type 2 diabetes-related periodontitis: Preliminary study. PLoS ONE. 19(1). e0296925–e0296925.
6.
Gu, Tongjun, Virginia Clark, Jorge Lascano, et al.. (2024). Liver Characterization of a Cohort of Alpha-1 Antitrypsin Deficiency Patients with and without Lung Disease. Journal of Clinical and Translational Hepatology. 0(0). 0–0.
7.
Zheng, Nan, et al.. (2024). The in-vivo medial and lateral collateral elongation correlated with knee functional score and joint space following unicompartmental knee arthroplasty. Orthopaedics & Traumatology Surgery & Research. 111(4). 104052–104052. 1 indexed citations
8.
Gu, Tongjun, Heather R. Kates, Tengfei Bian, et al.. (2023). Investigating miR-9 as a mediator in laryngeal cancer health disparities. Frontiers in Oncology. 13. 1096882–1096882. 3 indexed citations
9.
Ghayee, Hans K., Yiling Xu, Heather Hatch, et al.. (2022). Development of Human Adrenocortical Adenoma (HAA1) Cell Line from Zona Reticularis. International Journal of Molecular Sciences. 24(1). 584–584. 1 indexed citations
11.
Lü, Li, Tianqi Li, Peike Sheng, et al.. (2021). Sequencing of Argonaute-bound microRNA/mRNA hybrids reveals regulation of the unfolded protein response by microRNA-320a. PLoS Genetics. 17(12). e1009934–e1009934. 11 indexed citations
12.
Gu, Tongjun, Xiwu Zhao, W. Brad Barbazuk, & Ji‐Hyun Lee. (2021). miTAR: a hybrid deep learning-based approach for predicting miRNA targets. BMC Bioinformatics. 22(1). 96–96. 32 indexed citations
13.
Gu, Tongjun, Mingyi Xie, W. Brad Barbazuk, & Ji‐Hyun Lee. (2021). Biological features between miRNAs and their targets are unveiled from deep learning models. Scientific Reports. 11(1). 23825–23825. 3 indexed citations
14.
Yu, Kevin, Elizabeth M. Gordon, Tongjun Gu, et al.. (2021). Transfer of oral bacteria to the fetus during late gestation. Scientific Reports. 11(1). 708–708. 7 indexed citations
15.
Gu, Tongjun, Audrey Qiuyan Fu, Michael J. Bolt, & Xiwu Zhao. (2020). Systematic identification of A-to-I editing associated regulators from multiple human cancers. Computers in Biology and Medicine. 119. 103690–103690. 1 indexed citations
16.
Gu, Tongjun & Xiwu Zhao. (2019). Integrating multi-platform genomic datasets for kidney renal clear cell carcinoma subtyping using stacked denoising autoencoders. Scientific Reports. 9(1). 16668–16668. 9 indexed citations
17.
Han, Chul Ju, Mi‐Jung Kim, Dalian Ding, et al.. (2017). GSR is not essential for the maintenance of antioxidant defenses in mouse cochlea: Possible role of the thioredoxin system as a functional backup for GSR. PLoS ONE. 12(7). e0180817–e0180817. 17 indexed citations
18.
Greenlee, Anne R., Meng‐Shin Shiao, Elizabeth M. Snyder, et al.. (2012). Deregulated Sex Chromosome Gene Expression with Male Germ Cell-Specific Loss of Dicer1. PLoS ONE. 7(10). e46359–e46359. 42 indexed citations
19.
Choi, Seungbum, et al.. (2012). Pla2g12b and Hpn Are Genes Identified by Mouse ENU Mutagenesis That Affect HDL Cholesterol. PLoS ONE. 7(8). e43139–e43139. 18 indexed citations
20.
Gu, Tongjun, et al.. (2012). Canonical A-to-I and C-to-U RNA Editing Is Enriched at 3′UTRs and microRNA Target Sites in Multiple Mouse Tissues. PLoS ONE. 7(3). e33720–e33720. 69 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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