Suying Feng

79 total papers · 482 total citations
42 papers, 273 citations indexed

About

Suying Feng is a scholar working on Pathology and Forensic Medicine, Rheumatology and Genetics. According to data from OpenAlex, Suying Feng has authored 42 papers receiving a total of 273 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Pathology and Forensic Medicine, 24 papers in Rheumatology and 19 papers in Genetics. Recurrent topics in Suying Feng's work include Autoimmune Bullous Skin Diseases (24 papers), Urticaria and Related Conditions (20 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (17 papers). Suying Feng is often cited by papers focused on Autoimmune Bullous Skin Diseases (24 papers), Urticaria and Related Conditions (20 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (17 papers). Suying Feng collaborates with scholars based in China, United States and Japan. Suying Feng's co-authors include Qinxue Wu, Lin Lin, Zhiliang Li, Suo Li, Ming Feng, Baoxi Wang, Meng Pan, Guiying Zhang, Xuejun Zhu and Wei Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, Frontiers in Immunology and Journal of Investigative Dermatology.

In The Last Decade

Suying Feng

39 papers receiving 269 citations

Author Peers

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

Author						Papers	Cites
Suying Feng	178	149	126	53	42	42	273
Agnieszka Kalińska‐Bienias	166 0.9×	122 0.8×	82 0.7×	32 0.6×	38 0.9×	28	253
F Oksman	65 0.4×	109 0.7×	46 0.4×	17 0.3×	84 2.0×	34	295
Josep E. Herrero‐González	239 1.3×	166 1.1×	176 1.4×	40 0.8×	40 1.0×	23	323
Denise Miyamoto	199 1.1×	154 1.0×	125 1.0×	48 0.9×	37 0.9×	29	317
D. Kottler	51 0.3×	100 0.7×	37 0.3×	26 0.5×	41 1.0×	23	198
Mithilesh Chandra	111 0.6×	59 0.4×	57 0.5×	22 0.4×	92 2.2×	29	278
Vahideh Lajevardi	140 0.8×	75 0.5×	71 0.6×	172 3.2×	42 1.0×	31	318
V. Hébert	152 0.9×	109 0.7×	110 0.9×	28 0.5×	30 0.7×	33	225
Irene Russo	110 0.6×	58 0.4×	70 0.6×	57 1.1×	45 1.1×	49	318
G. Bohelay	97 0.5×	56 0.4×	54 0.4×	32 0.6×	41 1.0×	28	196

Countries citing papers authored by Suying Feng

Since Specialization

Citations

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

Fields of papers citing papers by Suying Feng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suying Feng

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