Feng Luo

2.6k citations
57 papers · 1.9k · h-index 24

Impact in

Papers in

Feng Luo

57 papers receiving 1.8k citations

Peers

Feng Luo
Comparison fields: 5 of 107
  • Cognitive Neuroscience 300
  • Radiology, Nuclear Medicine and Imaging 320
  • Cellular and Molecular Neuroscience 256
  • Biological Psychiatry 30
  • Oncology 272
Replace Michelle Schmidt with:
Michelle Schmidt United States
Santiago Rojas Spain
Sébastien Serres United Kingdom
Roberto Piñeiro Spain
Haruo Iguchi Japan
Chun‐Fang Xia United States
Randolph M. Johnson United States
Antje Willuweit Germany
Jan Dörr Germany
Yang Bai China
Feng Luo relative to Michelle Schmidt United States Michelle Schmidt's profile →
Citations per field
00.5×1.6×
Michelle Schmidt · 1×
Citations per year

Countries citing papers authored by Feng Luo

Since Specialization
Citations

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

Fields of papers citing papers by Feng Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Feng Luo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Feng Luo Line = papers co-authored together Feng Luo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015309
2 2004114
3 2011109
4 2010109
5 201079
6 201177
7 200774
8 200660
9 200358
10 201153
11 201253
12 200049
13 200647
14 201347
15 200645
16 201744
17 201936
18 201435
19 201434
20 201631

About Feng Luo

Feng Luo is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Oncology, having authored 57 papers that have together received 1.9k indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (9 papers), Lung Cancer Treatments and Mutations (9 papers), Fibroblast Growth Factor Research (7 papers), Chronic Myeloid Leukemia Treatments (7 papers), Advanced Neuroimaging Techniques and Applications (7 papers), Advanced MRI Techniques and Applications (7 papers), Neuroscience and Neuropharmacology Research (5 papers) and Chronic Lymphocytic Leukemia Research (5 papers). The work is most often cited by research in Cognitive Neuroscience (300 citations), Radiology, Nuclear Medicine and Imaging (320 citations), Cellular and Molecular Neuroscience (256 citations), Biological Psychiatry (30 citations) and Oncology (272 citations). Feng Luo has collaborated with scholars based in United States, China and Spain. Frequent co-authors include Gerard B. Fox, Mark L. Day, Shi‐Jiang Li, Gaohong Wu, Rastislav Bahleda, Jean‐Charles Soria, Suso Platero, Josep Tabernero, Zhiyong Qian and Bob Zhong. Their work appears in journals such as Journal of Clinical Oncology, Magnetic Resonance in Medicine, Psychopharmacology, Blood and Cancer Research.

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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