Zhen Fu

29 total papers · 578 total citations
17 papers, 372 citations indexed

About

Zhen Fu is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Epidemiology. According to data from OpenAlex, Zhen Fu has authored 17 papers receiving a total of 372 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pulmonary and Respiratory Medicine, 5 papers in Oncology and 3 papers in Epidemiology. Recurrent topics in Zhen Fu's work include Global Cancer Incidence and Screening (4 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (3 papers) and Cancer Risks and Factors (3 papers). Zhen Fu is often cited by papers focused on Global Cancer Incidence and Screening (4 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (3 papers) and Cancer Risks and Factors (3 papers). Zhen Fu collaborates with scholars based in China, Central African Republic and Cameroon. Zhen Fu's co-authors include Ping Yin, Hongyu Li, Tingting Qin, Adan Fu, Wanrong Lu, Zhihui Wang, Hongyan Wu, Ming‐Ming Yan, Mingming Yan and Chang Shu and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Environmental Research and Public Health.

In The Last Decade

Zhen Fu

16 papers receiving 368 citations

Author Peers

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

Author Last Decade Papers Cites
Zhen Fu 74 59 57 54 52 17 372
S-O Andersson 73 1.0× 96 1.6× 64 1.1× 38 0.7× 12 0.2× 12 423
Sindhu Lakkur 81 1.1× 31 0.5× 66 1.2× 36 0.7× 48 0.9× 13 391
Kemal Türker Ulutaş 119 1.6× 20 0.3× 75 1.3× 56 1.0× 42 0.8× 26 404
Huixu Dai 52 0.7× 36 0.6× 53 0.9× 78 1.4× 26 0.5× 20 359
Jesper Skov Neergaard 34 0.5× 30 0.5× 26 0.5× 87 1.6× 36 0.7× 18 400
Olga A. Vsevolozhskaya 25 0.3× 55 0.9× 58 1.0× 48 0.9× 64 1.2× 32 430
C. Nerbrand 37 0.5× 22 0.4× 75 1.3× 42 0.8× 58 1.1× 11 428
A‐Sol Kim 89 1.2× 30 0.5× 33 0.6× 89 1.6× 14 0.3× 31 373
Laureen Dartois 122 1.6× 24 0.4× 47 0.8× 39 0.7× 19 0.4× 16 410
Daniela Costantini 26 0.4× 37 0.6× 45 0.8× 135 2.5× 43 0.8× 17 392

Countries citing papers authored by Zhen Fu

Since Specialization
Citations

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

Fields of papers citing papers by Zhen Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhen Fu

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