Yanlan Fang

34 total papers · 516 total citations
23 papers, 380 citations indexed

About

Yanlan Fang is a scholar working on Genetics, Epidemiology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Yanlan Fang has authored 23 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Genetics, 8 papers in Epidemiology and 6 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Yanlan Fang's work include Liver Disease Diagnosis and Treatment (6 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (4 papers) and Adipose Tissue and Metabolism (3 papers). Yanlan Fang is often cited by papers focused on Liver Disease Diagnosis and Treatment (6 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (4 papers) and Adipose Tissue and Metabolism (3 papers). Yanlan Fang collaborates with scholars based in China, United States and Russia. Yanlan Fang's co-authors include Chunlin Wang, Li Liang, Hong Chen, Junfen Fu, Li Liang, Liang Li, Xiaojun Xu, Guanping Dong, Lianhui Chen and Hong Fang and has published in prestigious journals such as World Journal of Gastroenterology, Aging and Genes.

In The Last Decade

Yanlan Fang

22 papers receiving 371 citations

Hit Papers

Pathogenesis of non-alcoh... 2018 2026 2020 2023 2018 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Yanlan Fang 263 157 94 60 57 23 380
Silvia Sabatini 251 1.0× 139 0.9× 66 0.7× 80 1.3× 60 1.1× 18 392
Lampros Chrysavgis 251 1.0× 108 0.7× 95 1.0× 90 1.5× 53 0.9× 18 390
Erika Paolini 259 1.0× 100 0.6× 128 1.4× 72 1.2× 52 0.9× 27 397
Jinghua Wang 199 0.8× 112 0.7× 63 0.7× 30 0.5× 64 1.1× 24 380
Xiaomeng Du 197 0.7× 92 0.6× 52 0.6× 44 0.7× 98 1.7× 20 401
Frederique Van de Velde 216 0.8× 82 0.5× 96 1.0× 48 0.8× 50 0.9× 18 360
Anna Bobrus‐Chociej 221 0.8× 102 0.6× 94 1.0× 55 0.9× 61 1.1× 26 343
Nynke Simons 278 1.1× 219 1.4× 41 0.4× 80 1.3× 41 0.7× 16 357
Sangam Rajak 203 0.8× 69 0.4× 130 1.4× 62 1.0× 39 0.7× 28 400
Hossein Nobakht 233 0.9× 90 0.6× 81 0.9× 35 0.6× 26 0.5× 33 402

Countries citing papers authored by Yanlan Fang

Since Specialization
Citations

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

Fields of papers citing papers by Yanlan Fang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanlan Fang

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