Lu Hou

503 citations
22 papers · 347 · h-index 10

Impact in

Papers in

Lu Hou

21 papers receiving 345 citations

Peers

Lu Hou
Comparison fields: 5 of 81
  • Biological Psychiatry 32
  • Neurology 52
  • Aging 7
  • Cellular and Molecular Neuroscience 55
  • Cancer Research 44
Replace Hyobin Jeong with:
Hyobin Jeong South Korea
Zijing Sheng Japan
Tina Loeffler Austria
Uttam Ojha South Korea
Verónica Bobo-Jiménez Spain
Woo‐In Ryu South Korea
Tuanjie Huang China
Mingyang He China
Nipun Chopra United States
Sheng‐Wei Lai Taiwan
Lu Hou relative to Hyobin Jeong South Korea Hyobin Jeong's profile →
Citations per field
00.5×1.5×
Hyobin Jeong · 1×
Citations per year

Countries citing papers authored by Lu Hou

Since Specialization
Citations

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

Fields of papers citing papers by Lu Hou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020116
2 202042
3 201937
4 201635
5 200830
6 202216
7 201912
8 202510
9 202010
10 202210
11 20217
12 20206
13 20244
14 20233
15 20232
16 20242
17 20241
18 20241
19 20241
20
Development and preliminary evaluation of an aryl 18F-labeled PET tracer for imaging PDE10A
20201

About Lu Hou

Lu Hou is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Radiology, Nuclear Medicine and Imaging, Psychiatry and Mental health and Pharmacology, having authored 22 papers that have together received 347 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (4 papers), Advanced biosensing and bioanalysis techniques (2 papers), MicroRNA in disease regulation (2 papers), Lanthanide and Transition Metal Complexes (2 papers), Adenosine and Purinergic Signaling (2 papers), Cannabis and Cannabinoid Research (2 papers), Forensic Toxicology and Drug Analysis (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Biological Psychiatry (32 citations), Neurology (52 citations), Aging (7 citations), Cellular and Molecular Neuroscience (55 citations) and Cancer Research (44 citations). Lu Hou has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Lu Wang, Steven H. Liang, Neil Vasdev, Weijian Ye, Ming‐Rong Zhang, Hao Xu, Shaojuan Zhang, Wei Shi, Kuan Hu and Tuo Shao. Their work appears in journals such as Acta Pharmaceutica Sinica B, Critical Reviews in Eukaryotic Gene Expression, Frontiers in Neuroscience, Bioorganic & Medicinal Chemistry Letters and International Journal of Molecular Sciences.

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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