Dehong Lu

1.0k citations
62 papers · 687 · h-index 16

Impact in

  • Genetics top 5%
    • Glioma Diagnosis and Treatment
  • Neurology top 5%
    • Neuroblastoma Research and Treatments
    • Vascular Malformations Diagnosis and Treatment
    • Neurological disorders and treatments

Papers in

    • Glioma Diagnosis and Treatment 22
    • Neurofibromatosis and Schwannoma Cases 5
    • Neuroblastoma Research and Treatments 4

Dehong Lu

58 papers receiving 680 citations

Peers

Dehong Lu
Comparison fields: 5 of 69
  • Genetics 274
  • Neurology 174
  • Psychiatry and Mental health 74
  • Cellular and Molecular Neuroscience 71
  • Cancer Research 51
Replace Corinne Bouvier‐Labit with:
Corinne Bouvier‐Labit France
Richard B. Hessler United States
Donato Pacione United States
Lasse Dührsen Germany
Chitra Sarkar India
Roar Kloster Norway
Soroush Doostkam Germany
Giacomo Pavesi Italy
Hui Xiong China
Mario Teo United Kingdom
Dehong Lu relative to Corinne Bouvier‐Labit France Corinne Bouvier‐Labit's profile →
Citations per field
00.5×6.3×
Corinne Bouvier‐Labit · 1×
Citations per year

Countries citing papers authored by Dehong Lu

Since Specialization
Citations

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

Fields of papers citing papers by Dehong Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201890
2 201272
3 201247
4 201045
5 201136
6 201427
7 200625
8 201725
9 201524
10 201422
11 200621
12 200621
13 200820
14 201717
15 200817
16 201215
17 201512
18 201912
19 201712
20 201712

About Dehong Lu

Dehong Lu is a scholar working on Genetics, Neurology, Molecular Biology, Pulmonary and Respiratory Medicine and Surgery, having authored 62 papers that have together received 687 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (22 papers), Fetal and Pediatric Neurological Disorders (7 papers), Epilepsy research and treatment (6 papers), Neurofibromatosis and Schwannoma Cases (5 papers), Teratomas and Epidermoid Cysts (5 papers), Meningioma and schwannoma management (5 papers), Neuroblastoma Research and Treatments (4 papers) and Parvovirus B19 Infection Studies (3 papers). The work is most often cited by research in Genetics (274 citations), Neurology (174 citations), Psychiatry and Mental health (74 citations), Cellular and Molecular Neuroscience (71 citations) and Cancer Research (51 citations). Dehong Lu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Yueshan Piao, Leiming Wang, Li Chen, Lianghong Teng, Yongjuan Fu, Ang Li, Fei Li, Xiaoping Yang, Yukui Wei and Jia Li. Their work appears in journals such as Neuropathology, Brain Pathology, Acta Neuropathologica Communications, Oncology Reports and Clinical Neuropathology.

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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