Si Fang

38 total papers · 1.2k total citations
12 papers, 668 citations indexed

About

Si Fang is a scholar working on Genetics, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Si Fang has authored 12 papers receiving a total of 668 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Genetics, 4 papers in Molecular Biology and 2 papers in Infectious Diseases. Recurrent topics in Si Fang's work include Genetic Associations and Epidemiology (5 papers), COVID-19 Clinical Research Studies (2 papers) and Liver Disease Diagnosis and Treatment (2 papers). Si Fang is often cited by papers focused on Genetic Associations and Epidemiology (5 papers), COVID-19 Clinical Research Studies (2 papers) and Liver Disease Diagnosis and Treatment (2 papers). Si Fang collaborates with scholars based in United Kingdom, China and United States. Si Fang's co-authors include Hailing Liu, Xiaofan Liu, Qingyuan Zhan, Xuhong Ding, Rob M. Ewing, Hongying Yu, Yilu Zhou, Fang Ni, Yi Hu and Xiaojun Wu and has published in prestigious journals such as Nature Communications, Human Molecular Genetics and PLoS Medicine.

In The Last Decade

Si Fang

12 papers receiving 657 citations

Hit Papers

normalize citations (0→100%) normalize lifespan (0→100%) sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

3-month, 6-month, 9-month, and 12-month respiratory outcomes in patients following COVID-19-related hospitalisation: a prospective study

2021 429 citations Xiaojun Wu, Xiaofan Liu et al. The Lancet Respiratory Medicine profile →

Author Peers

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

Author						Papers	Cites
Si Fang	372	211	205	115	114	12	668
Parthiban Nadarajan	324 0.9×	123 0.6×	194 0.9×	134 1.2×	73 0.6×	24	571
Liyun Luo	311 0.8×	168 0.8×	275 1.3×	121 1.1×	78 0.7×	15	619
Hailing Liu	403 1.1×	210 1.0×	207 1.0×	114 1.0×	114 1.0×	29	722
Sudhamshi Toom	338 0.9×	83 0.4×	307 1.5×	79 0.7×	31 0.3×	12	620
Axel Rosell	303 0.8×	60 0.3×	284 1.4×	126 1.1×	70 0.6×	15	682
Qin-Fu Xu	525 1.4×	194 0.9×	361 1.8×	188 1.6×	151 1.3×	15	793
Aiguo Xu	527 1.4×	187 0.9×	360 1.8×	188 1.6×	150 1.3×	19	742
Gang Wu	233 0.6×	123 0.6×	379 1.8×	32 0.3×	23 0.2×	14	644
Juan Liu	123 0.3×	230 1.1×	30 0.1×	70 0.6×	65 0.6×	26	610
Rebecca Preston	203 0.5×	166 0.8×	158 0.8×	29 0.3×	39 0.3×	23	559

Countries citing papers authored by Si Fang

Since Specialization

Citations

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

Fields of papers citing papers by Si Fang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Si Fang

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