Hai-Xing Jiang

39 total papers · 599 total citations
22 papers, 339 citations indexed

About

Hai-Xing Jiang is a scholar working on Oncology, Hepatology and Epidemiology. According to data from OpenAlex, Hai-Xing Jiang has authored 22 papers receiving a total of 339 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Oncology, 7 papers in Hepatology and 6 papers in Epidemiology. Recurrent topics in Hai-Xing Jiang's work include Liver physiology and pathology (6 papers), Liver Disease Diagnosis and Treatment (5 papers) and Cytokine Signaling Pathways and Interactions (3 papers). Hai-Xing Jiang is often cited by papers focused on Liver physiology and pathology (6 papers), Liver Disease Diagnosis and Treatment (5 papers) and Cytokine Signaling Pathways and Interactions (3 papers). Hai-Xing Jiang collaborates with scholars based in China. Hai-Xing Jiang's co-authors include Shanyu Qin, Ziyu Liang, Qiulan Huang, Bang-li Hu, Jiaxu Wang, Xiaoyun Guo, Zhiming Liu, Jingmin Deng, Hui Xu and Shi Cheng and has published in prestigious journals such as American Journal of Respiratory and Critical Care Medicine, Biochemical Pharmacology and Life Sciences.

In The Last Decade

Hai-Xing Jiang

22 papers receiving 332 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Hai-Xing Jiang 101 99 91 79 66 22 339
Kristina Behnke 110 1.1× 122 1.2× 61 0.7× 63 0.8× 57 0.9× 19 374
Weiguo Fan 86 0.9× 127 1.3× 115 1.3× 68 0.9× 28 0.4× 16 368
Y Liu 83 0.8× 86 0.9× 174 1.9× 54 0.7× 36 0.5× 13 368
Simei Go 126 1.2× 91 0.9× 59 0.6× 60 0.8× 105 1.6× 20 347
Palma Aurelia Iacovazzi 105 1.0× 127 1.3× 62 0.7× 47 0.6× 21 0.3× 23 347
Guangze Liu 104 1.0× 84 0.8× 159 1.7× 127 1.6× 46 0.7× 22 355
Piyush Sharma 183 1.8× 93 0.9× 51 0.6× 38 0.5× 39 0.6× 15 404
Xinxia Feng 92 0.9× 138 1.4× 97 1.1× 81 1.0× 17 0.3× 17 367
Chan Xie 47 0.5× 120 1.2× 144 1.6× 133 1.7× 35 0.5× 32 383
Takehisa Suekane 68 0.7× 89 0.9× 136 1.5× 72 0.9× 29 0.4× 28 401

Countries citing papers authored by Hai-Xing Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Hai-Xing Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hai-Xing Jiang. 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 Hai-Xing Jiang. The network helps show where Hai-Xing Jiang may publish in the future.

Co-authorship network of co-authors of Hai-Xing Jiang

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

All Works

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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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