Haichuan Su

67 total papers · 2.3k total citations
46 papers, 803 citations indexed

About

Haichuan Su is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Haichuan Su has authored 46 papers receiving a total of 803 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 18 papers in Oncology and 9 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Haichuan Su's work include RNA modifications and cancer (10 papers), Pancreatic and Hepatic Oncology Research (6 papers) and Lung Cancer Treatments and Mutations (4 papers). Haichuan Su is often cited by papers focused on RNA modifications and cancer (10 papers), Pancreatic and Hepatic Oncology Research (6 papers) and Lung Cancer Treatments and Mutations (4 papers). Haichuan Su collaborates with scholars based in China and United States. Haichuan Su's co-authors include Yang Song, Daxiang Cui, Jun Chen, Ronglin Wang, Xiao Zhi, Jing Yang, Yong Zhang, Xuejun Zhu, Peng Zhao and Peixiang Ma and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Cancer Research.

In The Last Decade

Haichuan Su

43 papers receiving 789 citations

Author Peers

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

Author Last Decade Papers Cites
Haichuan Su 372 212 117 109 86 46 803
Min Kyo Jung 541 1.5× 234 1.1× 67 0.6× 97 0.9× 85 1.0× 34 933
Zofia Pawłowska 337 0.9× 162 0.8× 93 0.8× 65 0.6× 41 0.5× 47 775
Yi Wu 324 0.9× 102 0.5× 81 0.7× 81 0.7× 129 1.5× 33 783
Jiawei Liao 295 0.8× 124 0.6× 68 0.6× 47 0.4× 116 1.3× 52 730
Y Miyamoto 464 1.2× 84 0.4× 106 0.9× 97 0.9× 123 1.4× 44 1.1k
Qiqi Xie 352 0.9× 178 0.8× 97 0.8× 134 1.2× 48 0.6× 54 723
Li Ba 439 1.2× 264 1.2× 73 0.6× 53 0.5× 90 1.0× 50 869
Weiqing Liu 453 1.2× 134 0.6× 91 0.8× 45 0.4× 78 0.9× 42 923
Xinjun Wang 475 1.3× 218 1.0× 130 1.1× 93 0.9× 74 0.9× 67 831
Francesca Fontana 454 1.2× 163 0.8× 306 2.6× 125 1.1× 64 0.7× 47 969

Countries citing papers authored by Haichuan Su

Since Specialization
Citations

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

Fields of papers citing papers by Haichuan Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haichuan Su

This figure shows the co-authorship network connecting the top 25 collaborators of Haichuan Su. A scholar is included among the top collaborators of Haichuan Su 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 Haichuan Su. Haichuan Su 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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