Hongxia Cai

819 citations
17 papers · 488 indexed · 1 hit paper · h-index 12
Topics
RNA regulation and disease (3 papers)Computational Drug Discovery Methods (3 papers)Genetics, Aging, and Longevity in Model Organisms (3 papers)
Partner nations
ChinaUnited States

In The Last Decade

Hongxia Cai

15 papers receiving 484 citations

Hit Papers

Induced pluripotent stem cells (iPSCs): molecular mechani...20242026202520244080120

Peers

Hongxia Cai
Comparison fields: 5 of 83
  • Molecular Biology 198
  • Neurology 86
  • Cancer Research 81
  • Neurology 63
  • Surgery 62
Replace Xiaoyang Lu with:
Xiaoyang Lu China
Nadia Sadanandan United States
Yanchang Shang China
Leilei Chang China
Zengming Zheng China
Nadiya Byts Finland
Eloïse Lemarchand United Kingdom
Silvia Vanni Italy
Alice Braga United Kingdom
Shoko Murakami Japan
Hongxia Cai relative to Xiaoyang Lu China Xiaoyang Lu's profile →
Citations per field
00.5×
Xiaoyang Lu · 1×
Citations per year

Countries citing papers authored by Hongxia Cai

Since Specialization
Citations

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

Fields of papers citing papers by Hongxia Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongxia Cai

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

All Works

17 of 17 papers shown
#WorkIndexed citations
1 0
2 1
3 0
4 1
5 4
6
Induced pluripotent stem cells (iPSCs): molecular mechanisms of induction and applicationsbreakdown →
129
7 22
8 28
9 69
10 16
11 27
12 12
13 20
14 65
15 58
16 20
17 16

About Hongxia Cai

Hongxia Cai is a scholar working on Aging, Neurology and Clinical Biochemistry, having authored 17 papers that have together received 488 indexed citations. Recurring topics across this work include RNA regulation and disease (3 papers), Computational Drug Discovery Methods (3 papers) and Genetics, Aging, and Longevity in Model Organisms (3 papers). The work is most often cited by research in Neurology (86 citations), Developmental Neuroscience (25 citations) and Cancer Research (81 citations). Hongxia Cai has collaborated with scholars based in China and United States. Frequent co-authors include Yanhong Shi, Jonas Cerneckis, Guo‐Yuan Yang, Xiaoping Wang, Songlin Wang, Yongting Wang, Zhijun Zhang, Zhen Jiang, Zhihao Mu and Lei Wang. Their work appears in journals such as Hepatology, International Journal of Molecular Sciences and Experimental Cell 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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