Chen-Chen Feng

71 total papers · 944 total citations
54 papers, 680 citations indexed

About

Chen-Chen Feng is a scholar working on Rheumatology, Immunology and Oncology. According to data from OpenAlex, Chen-Chen Feng has authored 54 papers receiving a total of 680 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Rheumatology, 24 papers in Immunology and 7 papers in Oncology. Recurrent topics in Chen-Chen Feng's work include Systemic Lupus Erythematosus Research (25 papers), T-cell and B-cell Immunology (9 papers) and Cytokine Signaling Pathways and Interactions (7 papers). Chen-Chen Feng is often cited by papers focused on Systemic Lupus Erythematosus Research (25 papers), T-cell and B-cell Immunology (9 papers) and Cytokine Signaling Pathways and Interactions (7 papers). Chen-Chen Feng collaborates with scholars based in China, United States and Russia. Chen-Chen Feng's co-authors include Dong‐Qing Ye, Hai‐Feng Pan, Rui‐Xue Leng, Han Cen, Gui-Mei Chen, Xiao‐Ke Yang, Jing‐Yuan Fang, Yinguang Fan, Wang‐Dong Xu and Yu Zhai and has published in prestigious journals such as PLoS ONE, Advanced Functional Materials and Pain.

In The Last Decade

Chen-Chen Feng

50 papers receiving 668 citations

Author Peers

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

Author						Papers	Cites
Chen-Chen Feng	283	229	151	92	69	54	680
Renê Donizeti Ribeiro de Oliveira	300 1.1×	205 0.9×	251 1.7×	85 0.9×	44 0.6×	46	775
Yasunori Matsuki	221 0.8×	230 1.0×	122 0.8×	44 0.5×	61 0.9×	40	662
Mahnaz Sandoughi	155 0.5×	216 0.9×	147 1.0×	49 0.5×	35 0.5×	41	573
Satomi Kobayashi	296 1.0×	173 0.8×	98 0.6×	51 0.6×	60 0.9×	46	684
Kayoko Kaneko	188 0.7×	180 0.8×	139 0.9×	100 1.1×	114 1.7×	69	678
Zofia I Niemir	232 0.8×	127 0.6×	167 1.1×	42 0.5×	48 0.7×	50	747
Ning An	184 0.7×	113 0.5×	275 1.8×	40 0.4×	55 0.8×	65	771
S Mackiewicz	292 1.0×	303 1.3×	245 1.6×	55 0.6×	38 0.6×	66	737
Naohiro Yamashita	199 0.7×	76 0.3×	218 1.4×	130 1.4×	77 1.1×	49	753
Meimei Wang	114 0.4×	129 0.6×	155 1.0×	36 0.4×	81 1.2×	39	644

Countries citing papers authored by Chen-Chen Feng

Since Specialization

Citations

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

Fields of papers citing papers by Chen-Chen Feng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chen-Chen Feng

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