Peng Chen

175 total papers · 2.4k total citations
112 papers, 1.2k citations indexed

About

Peng Chen is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Peng Chen has authored 112 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Oncology, 44 papers in Pulmonary and Respiratory Medicine and 23 papers in Molecular Biology. Recurrent topics in Peng Chen's work include Cancer Immunotherapy and Biomarkers (19 papers), Lung Cancer Treatments and Mutations (16 papers) and Lung Cancer Research Studies (13 papers). Peng Chen is often cited by papers focused on Cancer Immunotherapy and Biomarkers (19 papers), Lung Cancer Treatments and Mutations (16 papers) and Lung Cancer Research Studies (13 papers). Peng Chen collaborates with scholars based in China, United States and Malaysia. Peng Chen's co-authors include Shu Xu, Minhu Chen, Shenghong Zhang, Lihui Lin, Wenjie Liu, Yangyang Wang, Ning Zhang, Long Li, Jun Xiao and Hua Guo and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Peng Chen

104 papers receiving 1.2k citations

Hit Papers

normalize citations (0→100%) normalize lifespan (0→100%) sort by overperformance

Author Peers

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

Author						Papers	Cites
Peng Chen	450	444	394	258	142	112	1.2k
Qiu Li	488 1.1×	425 1.0×	287 0.7×	268 1.0×	171 1.2×	105	1.4k
Chang Dong Yeo	484 1.1×	393 0.9×	550 1.4×	259 1.0×	103 0.7×	109	1.3k
Feng Zhan	317 0.7×	418 0.9×	280 0.7×	212 0.8×	145 1.0×	68	1000
Wiesława Niklińska	411 0.9×	646 1.5×	340 0.9×	274 1.1×	138 1.0×	78	1.4k
Ran Zhong	489 1.1×	513 1.2×	343 0.9×	314 1.2×	137 1.0×	67	1.3k
Carmen C. Diaconu	359 0.8×	610 1.4×	213 0.5×	290 1.1×	148 1.0×	103	1.4k
Naoko Sueoka‐Aragane	505 1.1×	409 0.9×	665 1.7×	313 1.2×	132 0.9×	122	1.5k
Moo Jun Baek	491 1.1×	528 1.2×	195 0.5×	243 0.9×	146 1.0×	87	1.3k
Maryam Abolhasani	325 0.7×	514 1.2×	246 0.6×	226 0.9×	143 1.0×	100	1.1k
Fuxiang Zhou	452 1.0×	537 1.2×	242 0.6×	275 1.1×	129 0.9×	85	1.2k

Countries citing papers authored by Peng Chen

Since Specialization

Citations

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

Fields of papers citing papers by Peng Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peng Chen

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