Jianyi Hua

410 total citations
17 papers, 328 citations indexed

About

Jianyi Hua is a scholar working on Oncology, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Jianyi Hua has authored 17 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Oncology, 8 papers in Molecular Biology and 4 papers in Pathology and Forensic Medicine. Recurrent topics in Jianyi Hua's work include Chemotherapy-induced organ toxicity mitigation (3 papers), Cancer Treatment and Pharmacology (3 papers) and Mercury impact and mitigation studies (3 papers). Jianyi Hua is often cited by papers focused on Chemotherapy-induced organ toxicity mitigation (3 papers), Cancer Treatment and Pharmacology (3 papers) and Mercury impact and mitigation studies (3 papers). Jianyi Hua collaborates with scholars based in Sweden, United States and Netherlands. Jianyi Hua's co-authors include Yezhou Sheng, Karin Warfvinge, Robert R. Kane, Kevin G. Pinney, Klaus Edvardsen, C. Michael Garner, David J. Chaplin, Maths Berlin, Ronald W. Pero and George R. Pettit and has published in prestigious journals such as International Journal of Cancer, European Journal of Cancer and Environmental Research.

In The Last Decade

Jianyi Hua

16 papers receiving 311 citations

Peers

Jianyi Hua
Comparison fields: 5 of 69
  • Molecular Biology 157
  • Oncology 84
  • Cancer Research 74
  • Health, Toxicology and Mutagenesis 67
  • Organic Chemistry 57
Replace F. Timár with:
F. Timár Hungary
Miaomiao Ge China
Kathryn E. Plant United Kingdom
Toshifumi Hibi Japan
Anna Ferreri Italy
O. P. Mgbonyebi United States
Arturo Cruz-Salgado Mexico
Tulika Tyagi United States
H. Chris Segar United States
F. Timár Hungary View profile →
Citations per field, relative to Jianyi Hua
Jianyi Hua · 1×
Citations per year, relative to Jianyi Hua
Jianyi Hua · 1×

Countries citing papers authored by Jianyi Hua

Since Specialization
Citations

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

Fields of papers citing papers by Jianyi Hua

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianyi Hua

This figure shows the co-authorship network connecting the top 25 collaborators of Jianyi Hua. A scholar is included among the top collaborators of Jianyi Hua 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 Jianyi Hua. Jianyi Hua 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
# Work Indexed citations
1 0
2 31
3 2
4 69
5 24
6 59
7 2
8
Comparison of antitumor activity of declopramide (3-chloroprocainamide) and N-acetyl-declopramide.
2
9 17
10 6
11 3
12 11
13 10
14 17
15 26
16 22
17 27

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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