Wanlu Du

15 papers receiving 1000 citations

Wanlu Du's Hit Papers

Parkinson’s disease-risk protein TMEM175 is a proton-activated proton channel in lysosomes 2022 · 149 citations
1490+1+2Years since publication4080120

Peers

Wanlu Du
Comparison fields: 5 of 94
  • Sensory Systems 337
  • Physiology 93
  • Cellular and Molecular Neuroscience 230
  • Nutrition and Dietetics 116
  • Developmental Neuroscience 27
Replace Sung‐Yong Hwang with:
Sung‐Yong Hwang United States
Seth Malmersjö Sweden
Bruno Constantin France
Sean I. Patterson Argentina
Tomasz Węgierski Poland
Marcel D. Payet Canada
Yasuhiro Tsunoda United States
M. Wisniewska Poland
Taihao Jin United States
Gilda M. Kalinec United States
Wanlu Du relative to Sung‐Yong Hwang United States Sung‐Yong Hwang's profile →
Citations per field
00.5×2×4×5.2×
Sung‐Yong Hwang · 1×
Citations per year

Countries citing papers authored by Wanlu Du

Since Specialization
Citations

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

Fields of papers citing papers by Wanlu Du

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2008181
2
Parkinson’s disease-risk protein TMEM175 is a proton-activated proton channel in lysosomes
Hit paper breakdown →
2022149
3 2008149
4 2010116
5 2017106
6 202174
7 200858
8 201251
9 201844
10 201535
11 202120
12 201416
13 202110
14 20241
15 20221
16 20260

About Wanlu Du

Wanlu Du is a scholar working on Molecular Biology, Oncology, Sensory Systems, Cellular and Molecular Neuroscience and Pulmonary and Respiratory Medicine, having authored 16 papers that have together received 1.0k indexed citations. Recurring topics across this work include Ion Channels and Receptors (5 papers), Neurobiology and Insect Physiology Research (4 papers), Lung Cancer Research Studies (3 papers), Calcium signaling and nucleotide metabolism (3 papers), Brain Metastases and Treatment (3 papers), Plant Stress Responses and Tolerance (2 papers), Autophagy in Disease and Therapy (2 papers) and Glioma Diagnosis and Treatment (2 papers). The work is most often cited by research in Sensory Systems (337 citations), Physiology (93 citations), Cellular and Molecular Neuroscience (230 citations), Nutrition and Dietetics (116 citations) and Developmental Neuroscience (27 citations). Wanlu Du has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Yizheng Wang, Yilin Tai, Hailan Yao, Kechun Zhou, Shengjie Feng, Khalid Shah, Junbo Huang, Yichang Jia, Jian Zhou and Yu‐Qiang Ding. Their work appears in journals such as Pflügers Archiv - European Journal of Physiology, Trends in cancer, Brain, Science Translational Medicine and PLoS ONE.

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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