Fang Fang

7.1k citations
80 papers · 4.5k indexed · 1 hit paper · h-index 28
Topics
Epigenetics and DNA Methylation (40 papers)RNA modifications and cancer (21 papers)Cancer-related gene regulation (12 papers)
Partner nations
United StatesChinaCanada

In The Last Decade

Fang Fang

74 papers receiving 4.4k citations

Hit Papers

IDH1 mutation is sufficient to establish the glioma hyper...201220262016202120124008001.2k

Peers

Fang Fang
Comparison fields: 5 of 148
  • Molecular Biology 3.1k
  • Cancer Research 1.3k
  • Genetics 896
  • Genetics 562
  • Oncology 526
Replace Mads Thomassen with:
Mads Thomassen Denmark
Christophe Béroud France
Ben Tycko United States
Jenny C. Taylor United Kingdom
Rakesh Nagarajan United States
Benjamin D. Hopkins United States
Mariona Graupera Spain
Vladimir Lazar France
Giovanna Chiorino Italy
Arnab Chakravarti United States
Fang Fang relative to Mads Thomassen Denmark Mads Thomassen's profile →
Citations per field
00.5×1.5×2.3×
Mads Thomassen · 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 8
2 4
3 3
4 47
5 57
6 17
7
片親胚の単一細胞トランスクリプトーム解析はヒト着床前発生に対する親起源効果を明らかにする【JST・京大機械翻訳】
11
8 6
9 25
10 78
11 22
12 20
13 81
14 120
15
Epigenetic targeting of ovarian cancer stem cells
1
16 302
17 139
18
Modern Logistics of the Innovative Enterprise Security Management Strategy
0
19
In vitro differentiation of human adipose-derived mesenchymal stem cells into endothelial-like cells
3
20
Assessing phylogenetic relationships of Lycium samples using RAPD and entropy theory
7

About Fang Fang

Fang Fang is a scholar working on Genetics, Hematology and Molecular Biology, having authored 80 papers that have together received 4.5k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (40 papers), RNA modifications and cancer (21 papers) and Cancer-related gene regulation (12 papers). The work is most often cited by research in Cancer Research (1.3k citations), Genetics (896 citations) and Molecular Biology (3.1k citations). Fang Fang has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Kenneth P. Nephew, Daniela Matei, Andrew D. Smith, Şevin Turcan, Adriana Heguy, Andrew Kaufman, Agnès Viale, Luc G.T. Morris, Olga A. Guryanova and Emrullah Yilmaz. Their work appears in journals such as Nature, Cell 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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