Jian‐Feng Xiang

36 total papers · 4.3k total citations
28 papers, 3.4k citations indexed

About

Jian‐Feng Xiang is a scholar working on Molecular Biology, Cancer Research and Hepatology. According to data from OpenAlex, Jian‐Feng Xiang has authored 28 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 10 papers in Cancer Research and 4 papers in Hepatology. Recurrent topics in Jian‐Feng Xiang's work include RNA Research and Splicing (9 papers), RNA modifications and cancer (9 papers) and Cancer-related molecular mechanisms research (7 papers). Jian‐Feng Xiang is often cited by papers focused on RNA Research and Splicing (9 papers), RNA modifications and cancer (9 papers) and Cancer-related molecular mechanisms research (7 papers). Jian‐Feng Xiang collaborates with scholars based in China, United States and United Kingdom. Jian‐Feng Xiang's co-authors include Li Yang, Ling‐Ling Chen, Qing-Fei Yin, Xiao‐Ou Zhang, Shanshan Zhu, Chen Tian, Yang Zhang, Yu‐Hang Xing, Yang Zhang and Gordon Carmichael and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Genes & Development and SHILAP Revista de lepidopterología.

In The Last Decade

Jian‐Feng Xiang

23 papers receiving 3.3k citations

Hit Papers

Circular Intronic Long No... 2013 2026 2017 2021 2013 2014 500 1000 1.5k

Author Peers

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

Author Last Decade Papers Cites
Jian‐Feng Xiang 3.2k 2.6k 103 102 99 28 3.4k
Mariangela Morlando 4.5k 1.4× 3.4k 1.3× 70 0.7× 107 1.0× 79 0.8× 41 4.9k
Daniel Thomson 2.6k 0.8× 2.4k 0.9× 150 1.5× 130 1.3× 66 0.7× 17 3.0k
Yu‐Hang Xing 2.7k 0.8× 2.0k 0.8× 115 1.1× 77 0.8× 50 0.5× 26 2.9k
Qing-Fei Yin 3.3k 1.1× 2.9k 1.1× 84 0.8× 99 1.0× 91 0.9× 9 3.5k
Dawood B. Dudekula 3.0k 0.9× 1.9k 0.7× 116 1.1× 141 1.4× 204 2.1× 30 3.4k
Michael K. Slevin 3.6k 1.1× 3.0k 1.1× 129 1.3× 106 1.0× 50 0.5× 14 3.8k
Marina Chekulaeva 2.8k 0.9× 1.8k 0.7× 102 1.0× 139 1.4× 89 0.9× 22 3.1k
Peter L. Wang 3.4k 1.1× 2.8k 1.1× 65 0.6× 246 2.4× 70 0.7× 17 3.8k
Paula A. Bubulya 2.3k 0.7× 1.6k 0.6× 78 0.8× 150 1.5× 118 1.2× 17 2.6k
Phillipe Loher 2.2k 0.7× 1.6k 0.6× 190 1.8× 84 0.8× 129 1.3× 41 2.7k

Countries citing papers authored by Jian‐Feng Xiang

Since Specialization
Citations

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

Fields of papers citing papers by Jian‐Feng Xiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jian‐Feng Xiang

This figure shows the co-authorship network connecting the top 25 collaborators of Jian‐Feng Xiang. A scholar is included among the top collaborators of Jian‐Feng 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 Jian‐Feng Xiang. Jian‐Feng 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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