Ling Fu

6.0k citations
59 papers · 1.5k indexed · h-index 19
Topics
Lung Cancer Treatments and Mutations (8 papers)Colorectal Cancer Treatments and Studies (5 papers)HER2/EGFR in Cancer Research (4 papers)
Partner nations
ChinaUnited StatesFrance

In The Last Decade

Ling Fu

55 papers receiving 1.5k citations

Peers

Ling Fu
Comparison fields: 5 of 111
  • Oncology 598
  • Molecular Biology 559
  • Immunology 330
  • Pulmonary and Respiratory Medicine 327
  • Cancer Research 256
Replace Purnima Dubey with:
Purnima Dubey United States
Robert K. Bright United States
Michiyo Higashi Japan
Bruce Freimark United States
Sabine Middendorp Netherlands
Arianne M. Brandsma Netherlands
Norihito Kawasaki Japan
Ryoji Ito Japan
Claudia D. Andl United States
Éric Selva France
Ling Fu relative to Purnima Dubey United States Purnima Dubey's profile →
Citations per field
00.5×1.5×1.8×
Purnima Dubey · 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

20 of 20 papers shown
#WorkIndexed citations
1 0
2 5
3 30
4 6
5 0
6 5
7 32
8 6
9 3
10 86
11 28
12 84
13 14
14 5
15
Numerical simulation of shell and tube heat exchanger fluid flow and coupled heat transfer
2
16 2
17 10
18 12
19
The clinical meaning of the bone marrow mononuclearcell antihuman globulin blood grouping to diagnose the immunorelated pancytopenia(IRP)
1
20 69

About Ling Fu

Ling Fu is a scholar working on Oncology, Microbiology and Immunology, having authored 59 papers that have together received 1.5k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (8 papers), Colorectal Cancer Treatments and Studies (5 papers) and HER2/EGFR in Cancer Research (4 papers). The work is most often cited by research in Oncology (598 citations), Cancer Research (256 citations) and Immunology (330 citations). Ling Fu has collaborated with scholars based in China, United States and France. Frequent co-authors include Lukas C. Amler, Robert L. Yauch, Jeremy Stinson, Somasekar Seshagiri, Vincent O’Neill, Robert Soriano, Wenjing Zhu, Zora Modrušan, Guy Cavet and Chin‐Yu Lin. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Blood.

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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