Hua Xiang

2.5k citations
133 papers · 2.0k indexed · h-index 25
Topics
Estrogen and related hormone effects (29 papers)Chronic Lymphocytic Leukemia Research (12 papers)Synthesis and biological activity (11 papers)
Partner nations
ChinaSwedenUnited States

In The Last Decade

Hua Xiang

120 papers receiving 2.0k citations

Peers

Hua Xiang
Comparison fields: 5 of 125
  • Molecular Biology 851
  • Immunology 438
  • Organic Chemistry 436
  • Oncology 389
  • Genetics 252
Replace Sivanesan Dakshanamurthy with:
Sivanesan Dakshanamurthy United States
Robert A. Parise United States
Daniel H. Albert United States
Victor S. Pribluda United States
Christopher Lowe United Kingdom
Sudhakar Chintharlapalli United States
Santanu Mondal India
Diane Ethier Canada
Ping Chen China
Patrick Brassil United States
Hua Xiang relative to Sivanesan Dakshanamurthy United States Sivanesan Dakshanamurthy's profile →
Citations per field
00.5×1.5×
Sivanesan Dakshanamurthy · 1×
Citations per year

Countries citing papers authored by Hua Xiang

Since Specialization
Citations

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

Fields of papers citing papers by Hua Xiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hua Xiang

This figure shows the co-authorship network connecting the top 25 collaborators of Hua Xiang. A scholar is included among the top collaborators of Hua Xiang 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 Hua Xiang. Hua Xiang 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
#WorkIndexed citations
1 1
2 8
3 0
4 0
5 0
6 1
7 9
8 8
9 7
10 13
11 17
12 12
13 10
14
Optimization of the preparation of collagen antioxidant peptide of Phascolosoma esculenta by response surface method
2
15 2
16
[Myxoinflammatory fibroblastic sarcoma: a clinicopathologic study of 6 cases with review of literature].
2
17 7
18 37
19
The Forecasting for the Index of Fish Hypoxia Intensity in Huzhou
1
20 8

About Hua Xiang

Hua Xiang is a scholar working on Toxicology, Genetics and Genetics, having authored 133 papers that have together received 2.0k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (29 papers), Chronic Lymphocytic Leukemia Research (12 papers) and Synthesis and biological activity (11 papers). The work is most often cited by research in Toxicology (73 citations), Immunology (438 citations) and Organic Chemistry (436 citations). Hua Xiang has collaborated with scholars based in China, Sweden and United States. Frequent co-authors include Guoshun Luo, Xin Lin, Johan Frostegård, Jun Su, Qidong You, Xiang Lu, Ulf dé Fairé, Linyi Liu, Xinyu Li and Elisabet Svenungsson. Their work appears in journals such as Journal of Clinical Oncology, PLoS ONE and Cancer.

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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