Lin Feng

62 total papers · 510 total citations
25 papers, 247 citations indexed

About

Lin Feng is a scholar working on Surgery, Pathology and Forensic Medicine and Molecular Biology. According to data from OpenAlex, Lin Feng has authored 25 papers receiving a total of 247 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Surgery, 5 papers in Pathology and Forensic Medicine and 4 papers in Molecular Biology. Recurrent topics in Lin Feng's work include Parasitic infections in humans and animals (4 papers), Congenital Anomalies and Fetal Surgery (3 papers) and Parasitic Infections and Diagnostics (3 papers). Lin Feng is often cited by papers focused on Parasitic infections in humans and animals (4 papers), Congenital Anomalies and Fetal Surgery (3 papers) and Parasitic Infections and Diagnostics (3 papers). Lin Feng collaborates with scholars based in China, United States and Canada. Lin Feng's co-authors include Lin Mei, Juli G. Valtschanoff, Howard S. Ying, Michael W. Salter, Bai Lu, Wen‐Cheng Xiong, Yang Z. Huang, Richard J. Weinberg, Graham M. Pitcher and Ri‐Li Ge and has published in prestigious journals such as Journal of Neuroscience, Applied Microbiology and Biotechnology and Frontiers in Immunology.

In The Last Decade

Lin Feng

23 papers receiving 243 citations

Author Peers

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

Author						Papers	Cites
Lin Feng	98	55	50	38	33	25	247
E Wildi	54 0.6×	37 0.7×	58 1.2×	18 0.5×	13 0.4×	40	330
Jose Chavez	154 1.6×	16 0.3×	44 0.9×	19 0.5×	21 0.6×	22	253
Jin Li	104 1.1×	41 0.7×	46 0.9×	58 1.5×	6 0.2×	30	326
Jinhong Xu	115 1.2×	46 0.8×	16 0.3×	40 1.1×	10 0.3×	21	302
David N. Propert	62 0.6×	25 0.5×	24 0.5×	42 1.1×	23 0.7×	27	321
Eleonora Mauri	75 0.8×	28 0.5×	50 1.0×	30 0.8×	10 0.3×	22	330
Maria Kazakova	178 1.8×	25 0.5×	10 0.2×	27 0.7×	9 0.3×	34	309
Vanessa Delcroix	160 1.6×	25 0.5×	21 0.4×	14 0.4×	22 0.7×	17	317
George H. Paff	140 1.4×	38 0.7×	23 0.5×	8 0.2×	20 0.6×	22	315
E Gibbels	52 0.5×	31 0.6×	106 2.1×	16 0.4×	26 0.8×	36	306

Countries citing papers authored by Lin Feng

Since Specialization

Citations

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

Fields of papers citing papers by Lin Feng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lin Feng

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