Kun Lu

984 citations
26 papers · 732 · h-index 12

Impact in

Papers in

Kun Lu

24 papers receiving 719 citations

Peers

Kun Lu
Comparison fields: 5 of 73
  • Radiology, Nuclear Medicine and Imaging 348
  • Cognitive Neuroscience 263
  • Neurology 91
  • Neurology 35
  • Cellular and Molecular Neuroscience 76
Replace Gavin C. Houston with:
Gavin C. Houston United Kingdom
Lei Gao China
Victoria C. Lupson United Kingdom
Renata Ferranti Leoni Brazil
Rebecca A. Quest United Kingdom
Boyko Oleg United States
Dionyssios Mintzopoulos United States
Joelle E. Sarlls United States
Joonas A. Autio Japan
Kun Lu relative to Gavin C. Houston United Kingdom Gavin C. Houston's profile →
Citations per field
00.5×2×2.8×
Gavin C. Houston · 1×
Citations per year

Countries citing papers authored by Kun Lu

Since Specialization
Citations

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

Fields of papers citing papers by Kun Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kun Lu, 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 Kun Lu Line = papers co-authored together Kun Lu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010241
2 2004102
3 201376
4 201673
5 202229
6 201525
7 202222
8 200719
9 200818
10 202216
11 202212
12 202012
13 202112
14 202211
15 202211
16 202210
17 20158
18 20158
19 20147
20 20077

About Kun Lu

Kun Lu is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience, Ophthalmology, Radiation and Epidemiology, having authored 26 papers that have together received 732 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (10 papers), Functional Brain Connectivity Studies (7 papers), Advanced Neuroimaging Techniques and Applications (6 papers), Retinal Imaging and Analysis (2 papers), Glaucoma and retinal disorders (2 papers), MRI in cancer diagnosis (2 papers), Neural and Behavioral Psychology Studies (1 paper) and Advanced X-ray Imaging Techniques (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (348 citations), Cognitive Neuroscience (263 citations), Neurology (91 citations), Neurology (35 citations) and Cellular and Molecular Neuroscience (76 citations). Kun Lu has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Thomas T. Liu, John J.A. Marota, R. Kurz, Anna Devor, Anders Martin Dale, Richard B. Buxton, Joseph B. Mandeville, Elizabeth M. C. Hillman, Peifang Tian and Miriam Scadeng. Their work appears in journals such as Current Neurovascular Research, CNS Neuroscience & Therapeutics, Frontiers in Aging Neuroscience, Brain Imaging and Behavior and IEEE Transactions on Medical Imaging.

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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