Jianhua Tong

6.3k total citations
141 papers, 4.2k citations indexed

About

Jianhua Tong is a scholar working on Molecular Biology, Plant Science and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Jianhua Tong has authored 141 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Molecular Biology, 45 papers in Plant Science and 27 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Jianhua Tong's work include Retinoids in leukemia and cellular processes (20 papers), Plant Molecular Biology Research (16 papers) and Plant Stress Responses and Tolerance (15 papers). Jianhua Tong is often cited by papers focused on Retinoids in leukemia and cellular processes (20 papers), Plant Molecular Biology Research (16 papers) and Plant Stress Responses and Tolerance (15 papers). Jianhua Tong collaborates with scholars based in China, United States and Austria. Jianhua Tong's co-authors include Langtao Xiao, Gerhard A. Holzapfel, Sai‐Juan Chen, Tina Cohnert, Jianjun Yang, Susannah Waxman, Xiaorong Pan, Peter Regitnig, Cheng-Mao Zhou and Zhenyi Wang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and SHILAP Revista de lepidopterología.

In The Last Decade

Jianhua Tong

137 papers receiving 4.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jianhua Tong China 39 2.1k 1.5k 574 510 367 141 4.2k
Yaping Wang China 42 3.3k 1.6× 826 0.5× 242 0.4× 299 0.6× 430 1.2× 236 6.2k
Byung‐Chul Oh South Korea 35 2.7k 1.3× 652 0.4× 277 0.5× 147 0.3× 419 1.1× 117 4.7k
Hideki Kato Japan 35 1.6k 0.8× 809 0.5× 272 0.5× 212 0.4× 463 1.3× 153 3.9k
Jae‐Sung Kim South Korea 36 2.1k 1.0× 331 0.2× 203 0.4× 261 0.5× 248 0.7× 124 4.3k
Min Xiong China 31 1.4k 0.6× 474 0.3× 136 0.2× 187 0.4× 337 0.9× 172 3.5k
Cheng Zhang China 43 3.1k 1.4× 640 0.4× 134 0.2× 344 0.7× 907 2.5× 297 6.3k
Y. James Kang United States 40 3.1k 1.4× 376 0.2× 244 0.4× 283 0.6× 288 0.8× 130 6.8k
Sajal Chakraborti India 31 1.7k 0.8× 329 0.2× 194 0.3× 318 0.6× 351 1.0× 137 4.1k
Naoki Nakagawa Japan 30 1.2k 0.6× 478 0.3× 137 0.2× 371 0.7× 227 0.6× 186 3.3k

Countries citing papers authored by Jianhua Tong

Since Specialization
Citations

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

Fields of papers citing papers by Jianhua Tong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianhua Tong

This figure shows the co-authorship network connecting the top 25 collaborators of Jianhua Tong. A scholar is included among the top collaborators of Jianhua Tong 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 Jianhua Tong. Jianhua Tong 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.
2.
Xia, Di, et al.. (2024). Targeting inhibition of TCTP could inhibit proliferation and induce apoptosis in AML cells. Cellular Signalling. 117. 111074–111074.
3.
Li, Xin, Yunzi Liu, Xiangchen Gu, et al.. (2024). C/EBPα-mediated ACSL4-dependent ferroptosis exacerbates tubular injury in diabetic kidney disease. Cell Death Discovery. 10(1). 448–448. 3 indexed citations
4.
5.
Ma, Jian‐xing, Jie Chen, Xiao Geng, et al.. (2023). Sol-gel fabrication of porous ceria microspheres for thermochemical carbon dioxide (CO2) splitting. SHILAP Revista de lepidopterología. 2(1). 100063–100063. 2 indexed citations
6.
Tong, Jianhua, Panmiao Liu, Mu‐Huo Ji, et al.. (2021). Machine Learning Can Predict Total Death After Radiofrequency Ablation in Liver Cancer Patients. Clinical Medicine Insights Oncology. 15. 1353120977–1353120977. 7 indexed citations
7.
Zhou, Cheng-Mao, Ying Wang, Mu‐Huo Ji, et al.. (2020). Predicting Peritoneal Metastasis of Gastric Cancer Patients Based on Machine Learning. Cancer Control. 27(1). 1148404164–1148404164. 24 indexed citations
8.
Zhou, Yuanhang, et al.. (2019). Numerical simulation of haemodynamics of the descending aorta in the non-diabetic and diabetic rabbits. Journal of Biomechanics. 91. 140–150. 4 indexed citations
9.
Zhang, Ke, Ruozhong Wang, Hailing Zi, et al.. (2018). AUXIN RESPONSE FACTOR3 Regulates Floral Meristem Determinacy by Repressing Cytokinin Biosynthesis and Signaling. The Plant Cell. 30(2). 324–346. 101 indexed citations
10.
Yan, Jianbin, Suhua Li, Min Gu, et al.. (2016). Endogenous Bioactive Jasmonate Is Composed of a Set of (+)-7-iso-JA-Amino Acid Conjugates. PLANT PHYSIOLOGY. 172(4). 2154–2164. 77 indexed citations
11.
Ma, Hongyu, Hongyu Ma, Zhigang Huang, et al.. (2014). Comparative proteomic analysis reveals molecular mechanism of seedling roots of different salt tolerant soybean genotypes in responses to salinity stress. SHILAP Revista de lepidopterología. 4. 40–57. 21 indexed citations
12.
Tong, Jianhua, Tina Cohnert, Peter Regitnig, et al.. (2013). Variations of dissection properties and mass fractions with thrombus age in human abdominal aortic aneurysms. Journal of Biomechanics. 47(1). 14–23. 30 indexed citations
13.
Yang, Jie, et al.. (2013). Effects of Topping on Axillary Bud Growth of and Plant Hormone Contents in Tobacco. Tobacco Science & Technology. 1 indexed citations
14.
Tong, Jianhua, Andreas Jörg Schriefl, Tina Cohnert, & Gerhard A. Holzapfel. (2013). Gender Differences in Biomechanical Properties, Thrombus Age, Mass Fraction and Clinical Factors of Abdominal Aortic Aneurysms. European Journal of Vascular and Endovascular Surgery. 45(4). 364–372. 55 indexed citations
15.
Xu, Gui‐Ping, et al.. (2013). Rig-G negatively regulates SCF-E3 ligase activities by disrupting the assembly of COP9 signalosome complex. Biochemical and Biophysical Research Communications. 432(3). 425–430. 11 indexed citations
16.
Pan, Xiaorong, et al.. (2012). [Role of auto-secreted interferon α in all-trans retinoic acid-induced expression of RIG-G gene].. PubMed. 92(2). 124–7. 2 indexed citations
17.
Peng, Keqin, et al.. (2009). Effects of low potassium stress on mineral nutrient absorption and phytohormone contents of rice seedlings.. Plant Nutrition and Fertilizing Science. 15(1). 69–75. 1 indexed citations
18.
Xiao, Langtao, et al.. (2004). The mechanisms of heavy metal uptake by plant and phytoremediation. JOURNAL OF HUNAN AGRICULTURAL UNIVERSITY. 30(5). 493–498. 1 indexed citations
19.
Brandes, L. J., R. C. Warrington, R.Patricia Bogdanovic, et al.. (1994). Enhanced Cancer Growth in Mice Administered Daily Human-Equivalent Doses of Some H1-Antihistamines: Predictive In Vitro Correlates. JNCI Journal of the National Cancer Institute. 86(10). 770–775. 40 indexed citations
20.
Tong, Jianhua, et al.. (1993). Low amplitude new type variable stars in globular clusters. Astrophysics and Space Science. 210(1-2). 163–165. 1 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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