Xiangnan Guan

142 total papers · 2.1k total citations
27 papers, 802 citations indexed

About

Xiangnan Guan is a scholar working on Oncology, Molecular Biology and Immunology. According to data from OpenAlex, Xiangnan Guan has authored 27 papers receiving a total of 802 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Oncology, 10 papers in Molecular Biology and 7 papers in Immunology. Recurrent topics in Xiangnan Guan's work include Cancer Immunotherapy and Biomarkers (7 papers), Immunotherapy and Immune Responses (4 papers) and Multiple Myeloma Research and Treatments (3 papers). Xiangnan Guan is often cited by papers focused on Cancer Immunotherapy and Biomarkers (7 papers), Immunotherapy and Immune Responses (4 papers) and Multiple Myeloma Research and Treatments (3 papers). Xiangnan Guan collaborates with scholars based in United States, China and France. Xiangnan Guan's co-authors include Zheng Xia, Amy E. Moran, Pepper Schedin, Paul T. Spellman, Duanchen Sun, Joshi J. Alumkal, Mu‐Shui Dai, Ling‐Yun Wu, Andrew C. Adey and Alexey V. Danilov and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Xiangnan Guan

23 papers receiving 800 citations

Hit Papers

Androgen receptor activit... 2021 2026 2022 2024 2022 2021 50 100 150 200

Author Peers

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

Author Last Decade Papers Cites
Xiangnan Guan 325 292 260 167 135 27 802
Haisheng Zhou 520 1.6× 164 0.6× 196 0.8× 147 0.9× 197 1.5× 31 955
Claudio Brigati 514 1.6× 252 0.9× 197 0.8× 61 0.4× 217 1.6× 30 944
Thomas Heiden 473 1.5× 333 1.1× 168 0.6× 134 0.8× 121 0.9× 28 1.0k
Simone Vogel 233 0.7× 150 0.5× 377 1.4× 78 0.5× 118 0.9× 24 847
Daechan Park 597 1.8× 151 0.5× 242 0.9× 117 0.7× 104 0.8× 33 968
T. Abe 350 1.1× 124 0.4× 230 0.9× 102 0.6× 64 0.5× 43 1.0k
Tove Irene Klokk 459 1.4× 137 0.5× 203 0.8× 169 1.0× 110 0.8× 26 937
Michael J. Gerdes 616 1.9× 248 0.8× 143 0.6× 139 0.8× 171 1.3× 25 1.0k
J L Kadish 280 0.9× 112 0.4× 323 1.2× 103 0.6× 127 0.9× 18 942
Keisuke Aoyama 403 1.2× 152 0.5× 280 1.1× 65 0.4× 48 0.4× 21 856

Countries citing papers authored by Xiangnan Guan

Since Specialization
Citations

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

Fields of papers citing papers by Xiangnan Guan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiangnan Guan

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