Lisa Zhu

1.3k citations
4 papers · 916 indexed · 1 hit paper · h-index 3
Topics
Fungal Infections and Studies (1 paper)T-cell and Retrovirus Studies (1 paper)Neural dynamics and brain function (1 paper)
Journals
NeuronArchives of Dermatological ResearchAdvances in Mathematical Physics
Partner nations
ChinaUnited StatesFrance

In The Last Decade

Lisa Zhu

4 papers receiving 911 citations

Hit Papers

Whole-Brain Mapping of Direct Inputs to Midbrain Dopamine...20122026201620212012250500750

Peers

Lisa Zhu
Comparison fields: 5 of 80
  • Cellular and Molecular Neuroscience 623
  • Cognitive Neuroscience 418
  • Molecular Biology 296
  • Endocrine and Autonomic Systems 120
  • Neurology 105
Replace Lauren Faget with:
Lauren Faget United States
Vivien Zell United States
Е. П. Кулешова Russia
Frank J. Meye Netherlands
Arnaud L. Lalive Switzerland
Biafra Ahanonu United States
Xiao-lin Chou United States
Varoth Lilascharoen United States
Bridget A. Matikainen‐Ankney United States
Aimei Yang United States
Lisa Zhu relative to Lauren Faget United States Lauren Faget's profile →
Citations per field
00.5×1.5×2.3×
Lauren Faget · 1×
Citations per year

Countries citing papers authored by Lisa Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Lisa Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lisa Zhu

This figure shows the co-authorship network connecting the top 25 collaborators of Lisa Zhu. A scholar is included among the top collaborators of Lisa Zhu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lisa Zhu. Lisa Zhu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

4 of 4 papers shown
#WorkIndexed citations
1 2
2 19
3 1
4
Whole-Brain Mapping of Direct Inputs to Midbrain Dopamine Neuronsbreakdown →
894

About Lisa Zhu

Lisa Zhu is a scholar working on Dermatology, Applied Mathematics and Management, Monitoring, Policy and Law, having authored 4 papers that have together received 916 indexed citations. Recurring topics across this work include Fungal Infections and Studies (1 paper), T-cell and Retrovirus Studies (1 paper) and Neural dynamics and brain function (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (623 citations), Cognitive Neuroscience (418 citations) and Endocrine and Autonomic Systems (120 citations). Lisa Zhu has collaborated with scholars based in China, United States and France. Frequent co-authors include Sachie K. Ogawa, Naoshige Uchida, Mitsuko Watabe‐Uchida, Maria Wysocka, Andrea B. Troxel, Zhenhua Qiao, Brian Kim, Landon K. Oetjen, Hélène Sicard and Geraldine M. O’Connor. Their work appears in journals such as Neuron, Archives of Dermatological Research and Advances in Mathematical Physics.

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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