Hua Xiang

173 total papers · 2.5k total citations
130 papers, 2.0k citations indexed

About

Hua Xiang is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Hua Xiang has authored 130 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Molecular Biology, 30 papers in Genetics and 25 papers in Oncology. Recurrent topics in Hua Xiang's work include Estrogen and related hormone effects (29 papers), Chronic Lymphocytic Leukemia Research (12 papers) and Synthesis and biological activity (11 papers). Hua Xiang is often cited by papers focused on Estrogen and related hormone effects (29 papers), Chronic Lymphocytic Leukemia Research (12 papers) and Synthesis and biological activity (11 papers). Hua Xiang collaborates with scholars based in China, Sweden and United States. Hua Xiang's co-authors include Guoshun Luo, Xin Lin, Johan Frostegård, Jun Su, Qidong You, Xiang Lu, Ulf dé Fairé, Linyi Liu, Elisabet Svenungsson and Xinyu Li and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Cancer.

In The Last Decade

Hua Xiang

118 papers receiving 2.0k citations

Author Peers

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

Author Last Decade Papers Cites
Hua Xiang 831 433 429 385 247 130 2.0k
Makoto Takeuchi 891 1.1× 520 1.2× 353 0.8× 289 0.8× 111 0.4× 106 2.7k
Cécile Mazière 1.2k 1.4× 232 0.5× 441 1.0× 240 0.6× 215 0.9× 119 2.9k
Maryanne Covington 913 1.1× 610 1.4× 439 1.0× 586 1.5× 336 1.4× 68 2.7k
Yingqi Zhang 1.3k 1.5× 513 1.2× 423 1.0× 471 1.2× 111 0.4× 127 2.7k
Yoshihiko Ikeda 669 0.8× 347 0.8× 280 0.7× 256 0.7× 71 0.3× 158 3.0k
Jianmin Sun 1.7k 2.0× 256 0.6× 582 1.4× 541 1.4× 228 0.9× 112 3.0k
Sivanesan Dakshanamurthy 1.5k 1.8× 477 1.1× 450 1.0× 542 1.4× 200 0.8× 87 3.0k
Eduard Sergienko 1.4k 1.6× 193 0.4× 467 1.1× 218 0.6× 201 0.8× 77 2.5k
Santanu Mondal 741 0.9× 175 0.4× 926 2.2× 205 0.5× 187 0.8× 43 1.9k
Hemant K. Bid 1.2k 1.5× 270 0.6× 317 0.7× 569 1.5× 221 0.9× 72 2.5k

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

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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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