Ling Fu

1.3k citations
16 papers · 1.0k indexed · 1 hit paper · h-index 10
Topics
Bacillus and Francisella bacterial research (6 papers)Connexins and lens biology (4 papers)Bacterial Genetics and Biotechnology (4 papers)
Partner nations
ChinaUnited States

In The Last Decade

Ling Fu

16 papers receiving 988 citations

Hit Papers

Treatment of Medulloblastoma with Hedgehog Pathway Inhibi...20092026201420202009250500750

Peers

Ling Fu
Comparison fields: 5 of 74
  • Molecular Biology 912
  • Oncology 213
  • Genetics 189
  • Genetics 176
  • Pathology and Forensic Medicine 91
Replace Deanne Hebrink with:
Deanne Hebrink United States
Lasse Weinmann Germany
Mark A. Madine United Kingdom
Roberta Ceruti Italy
Scott Bader United States
Alwin Kraemer Germany
Meera Patturajan United States
Hisako Sakiyama Japan
Dale O. Cowley United States
Kathy M. Ensrud United States
Ling Fu relative to Deanne Hebrink United States Deanne Hebrink's profile →
Citations per field
00.5×3.1×
Deanne Hebrink · 1×
Citations per year

Countries citing papers authored by Ling Fu

Since Specialization
Citations

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

Fields of papers citing papers by Ling Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ling Fu

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

All Works

16 of 16 papers shown
#WorkIndexed citations
1 15
2 4
3 10
4 22
5 6
6 7
7 32
8 16
9 4
10
Treatment of Medulloblastoma with Hedgehog Pathway Inhibitor GDC-0449breakdown →
761
11 19
12 5
13 67
14 37
15 11
16 4

About Ling Fu

Ling Fu is a scholar working on Biotechnology, Virology and Genetics, having authored 16 papers that have together received 1.0k indexed citations. Recurring topics across this work include Bacillus and Francisella bacterial research (6 papers), Connexins and lens biology (4 papers) and Bacterial Genetics and Biotechnology (4 papers). The work is most often cited by research in Genetics (189 citations), Molecular Biology (912 citations) and Oncology (213 citations). Ling Fu has collaborated with scholars based in China and United States. Frequent co-authors include Jack J.‐N. Liang, Barbara Coleman, Charles M. Rudin, Jeremy Stinson, Jennifer A. Low, Christine L. Hann, Stephen E. Gould, Robert L. Yauch, Thomas Holcomb and Frédéric J. de Sauvage. Their work appears in journals such as New England Journal of Medicine, PLoS ONE and Biochemical and Biophysical Research Communications.

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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