Fang Lu

53 total papers · 678 total citations
32 papers, 460 citations indexed

About

Fang Lu is a scholar working on Molecular Biology, Ophthalmology and Pathology and Forensic Medicine. According to data from OpenAlex, Fang Lu has authored 32 papers receiving a total of 460 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 9 papers in Ophthalmology and 6 papers in Pathology and Forensic Medicine. Recurrent topics in Fang Lu's work include Glaucoma and retinal disorders (9 papers), Retinal Diseases and Treatments (5 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Fang Lu is often cited by papers focused on Glaucoma and retinal disorders (9 papers), Retinal Diseases and Treatments (5 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Fang Lu collaborates with scholars based in China and United States. Fang Lu's co-authors include Muhammad Saeed, Muhammad Zahid, Ercole L. Cavalieri, Eleanor G. Rogan, Nilesh W. Gaikwad, Barry E. Kosofsky, Robert J. Ferrante, James E. Krause, Neil W. Kowall and Mohamed F. Ali and has published in prestigious journals such as PLoS ONE, Scientific Reports and Free Radical Biology and Medicine.

In The Last Decade

Fang Lu

28 papers receiving 455 citations

Author Peers

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

Author Last Decade Papers Cites
Fang Lu 198 109 83 69 56 32 460
Kinga Buraczyńska 233 1.2× 47 0.4× 43 0.5× 33 0.5× 27 0.5× 24 414
Anna Sobczuk 217 1.1× 96 0.9× 38 0.5× 71 1.0× 21 0.4× 34 420
Hanming Wang 209 1.1× 42 0.4× 84 1.0× 43 0.6× 21 0.4× 30 511
Shanshan Hu 341 1.7× 64 0.6× 62 0.7× 33 0.5× 21 0.4× 31 530
Anna C. Salzberg 279 1.4× 51 0.5× 34 0.4× 40 0.6× 35 0.6× 30 504
Mohammad Keramatipour 257 1.3× 120 1.1× 59 0.7× 24 0.3× 22 0.4× 59 542
Goran Bošković 241 1.2× 69 0.6× 33 0.4× 65 0.9× 22 0.4× 23 431
Xiuju Chen 155 0.8× 33 0.3× 43 0.5× 29 0.4× 21 0.4× 35 414
Ping Huang 251 1.3× 102 0.9× 61 0.7× 62 0.9× 29 0.5× 24 452
Jenny W. Wang 214 1.1× 63 0.6× 27 0.3× 33 0.5× 27 0.5× 19 459

Countries citing papers authored by Fang Lu

Since Specialization
Citations

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

Fields of papers citing papers by Fang Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fang Lu

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