Pujun Guan

43 total papers · 1.1k total citations
20 papers, 427 citations indexed

About

Pujun Guan is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, Pujun Guan has authored 20 papers receiving a total of 427 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Pathology and Forensic Medicine and 5 papers in Oncology. Recurrent topics in Pujun Guan's work include Lymphoma Diagnosis and Treatment (5 papers), Viral-associated cancers and disorders (4 papers) and CNS Lymphoma Diagnosis and Treatment (2 papers). Pujun Guan is often cited by papers focused on Lymphoma Diagnosis and Treatment (5 papers), Viral-associated cancers and disorders (4 papers) and CNS Lymphoma Diagnosis and Treatment (2 papers). Pujun Guan collaborates with scholars based in China, United States and United Kingdom. Pujun Guan's co-authors include Qiyong Gong, Min Wu, Xiaoli Wei, Kui Luo, Hongyan Zhu, Qiang Luo, Ling Pan, Xue Li, Ling Sun and C. Alexander Valencia and has published in prestigious journals such as ACS Applied Materials & Interfaces, European Heart Journal and Arteriosclerosis Thrombosis and Vascular Biology.

In The Last Decade

Pujun Guan

18 papers receiving 420 citations

Author Peers

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

Author						Papers	Cites
Pujun Guan	173	104	95	86	56	20	427
Ming Zhu	193 1.1×	137 1.3×	43 0.5×	124 1.4×	41 0.7×	33	484
Jun-ichiro Kuroda	136 0.8×	150 1.4×	37 0.4×	93 1.1×	30 0.5×	25	493
María Loreto Bravo	116 0.7×	108 1.0×	56 0.6×	63 0.7×	21 0.4×	21	369
Quanwei Shi	174 1.0×	120 1.2×	48 0.5×	166 1.9×	33 0.6×	15	423
Qi Zhang	243 1.4×	76 0.7×	49 0.5×	83 1.0×	28 0.5×	25	462
Elaine Kang	189 1.1×	159 1.5×	59 0.6×	144 1.7×	41 0.7×	11	433
Yaping Wu	138 0.8×	56 0.5×	82 0.9×	91 1.1×	30 0.5×	16	438
Yi Fang	156 0.9×	109 1.0×	45 0.5×	186 2.2×	54 1.0×	13	408
Mark Martin Jensen	107 0.6×	147 1.4×	36 0.4×	99 1.2×	27 0.5×	22	467
Xiangyun Jin	151 0.9×	111 1.1×	133 1.4×	100 1.2×	21 0.4×	19	415

Countries citing papers authored by Pujun Guan

Since Specialization

Citations

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

Fields of papers citing papers by Pujun Guan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pujun Guan

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