Guanjun Tu

913 citations
33 papers · 755 · h-index 18

Impact in

Papers in

Guanjun Tu

33 papers receiving 741 citations

Peers

Guanjun Tu
Comparison fields: 5 of 86
  • Cancer Research 207
  • Pathology and Forensic Medicine 220
  • Geriatrics and Gerontology 24
  • Genetics 54
  • Developmental Neuroscience 21
Replace Garrett A. Sessions with:
Garrett A. Sessions United States
Yonghui Hou China
Chaojun Zheng China
Xi Lin China
Elizabeth S. Silagi United States
Xing Guo China
Giacomo Casella United States
Zhuanghui Wang China
Jessica A. Sipkens Netherlands
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Guanjun Tu relative to Garrett A. Sessions United States Garrett A. Sessions's profile →
Citations per field
00.5×10×15×19.8×
Garrett A. Sessions · 1×
Citations per year

Countries citing papers authored by Guanjun Tu

Since Specialization
Citations

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

Fields of papers citing papers by Guanjun Tu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Guanjun Tu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Guanjun Tu Line = papers co-authored together Guanjun Tu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015116
2 201756
3 201648
4 201448
5 201543
6 202140
7 201634
8 201730
9 202029
10 201027
11 201825
12 201625
13 201625
14 201424
15 201423
16 201722
17 201321
18
Lithium enhanced cell proliferation and differentiation of mesenchymal stem cells to neural cells in rat spinal cord.
201520
19 201017
20 201714

About Guanjun Tu

Guanjun Tu is a scholar working on Pathology and Forensic Medicine, Cancer Research, Molecular Biology, Genetics and Cellular and Molecular Neuroscience, having authored 33 papers that have together received 755 indexed citations. Recurring topics across this work include Circular RNAs in diseases (6 papers), Spine and Intervertebral Disc Pathology (6 papers), MicroRNA in disease regulation (6 papers), Spinal Cord Injury Research (4 papers), Mesenchymal stem cell research (4 papers), Cancer-related molecular mechanisms research (4 papers), Neurogenesis and neuroplasticity mechanisms (3 papers) and Nerve injury and regeneration (3 papers). The work is most often cited by research in Cancer Research (207 citations), Pathology and Forensic Medicine (220 citations), Geriatrics and Gerontology (24 citations), Genetics (54 citations) and Developmental Neuroscience (21 citations). Guanjun Tu has collaborated with scholars based in China and United States. Frequent co-authors include Cong Lin, Chen Lv, Yue Zhu, Yaxin Han, Yongxue Zhu, Yiwen Hu, Cong Lin, Hao Pang, Xifan Mei and Yi Chen. Their work appears in journals such as Biochemical and Biophysical Research Communications, Spine, European Spine Journal, Tumor Biology and Bone and Joint Research.

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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