Fang Fang

33.8k citations
864 papers · 22.2k indexed · 10 hit papers · h-index 70
Topics
Amyotrophic Lateral Sclerosis Research (67 papers)Parkinson's Disease Mechanisms and Treatments (46 papers)Neurogenetic and Muscular Disorders Research (31 papers)
Partner nations
ChinaUnited StatesSweden

In The Last Decade

Fang Fang

809 papers receiving 21.8k citations

Hit Papers

HPV Vaccination and the Ris...200820262014202020202008200920202019250500750

Peers

Fang Fang
Comparison fields: 5 of 213
  • Molecular Biology 5.0k
  • Neurology 3.6k
  • Oncology 3.6k
  • Physiology 2.6k
  • Epidemiology 2.4k
Replace David Schoenfeld with:
David Schoenfeld United States
Yehuda Shoenfeld Israel
Nima Rezaei Iran
Wei Wang China
Ting Liu China
Steven M. Albert United States
Stefan Schreiber Germany
Rudi G. J. Westendorp Netherlands
Julie E. Buring United States
Pietro Ghezzi Italy
Fang Fang relative to David Schoenfeld United States David Schoenfeld's profile →
Citations per field
00.5×1.5×2.5×
David Schoenfeld · 1×
Citations per year

Countries citing papers authored by Fang Fang

Since Specialization
Citations

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

Fields of papers citing papers by Fang Fang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fang Fang

This figure shows the co-authorship network connecting the top 25 collaborators of Fang Fang. A scholar is included among the top collaborators of Fang 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 Fang Fang. Fang Fang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 11
3 0
4 1
5 5
6 13
7 10
8 21
9 7
10 3
11 17
12 35
13
Vagotomy and Parkinson diseasebreakdown →
323
14 76
15 26
16 27
17 25
18 121
19 250
20 116

About Fang Fang

Fang Fang is a scholar working on Neurology, Neurology and Oncology, having authored 864 papers that have together received 22.2k indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (67 papers), Parkinson's Disease Mechanisms and Treatments (46 papers) and Neurogenetic and Muscular Disorders Research (31 papers). The work is most often cited by research in Neurology (3.6k citations), Biological Psychiatry (510 citations) and Neurology (1.3k citations). Fang Fang has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Unnur Valdimarsdóttir, Katja Fall, Weimin Ye, Pär Sparén, Elisa Longinetti, Freya Kamel, Caroline Ingre, Karin Wirdefeldt, Huan Song and Nancy L. Pedersen. Their work appears in journals such as Science, New England Journal of Medicine and Proceedings of the National Academy of Sciences.

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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