Zhida Su

2.0k citations
39 papers · 1.5k · h-index 22

Impact in

Papers in

Zhida Su

37 papers receiving 1.5k citations

Peers

Zhida Su
Comparison fields: 5 of 92
  • Developmental Neuroscience 681
  • Cellular and Molecular Neuroscience 718
  • Neurology 286
  • Sensory Systems 133
  • Pathology and Forensic Medicine 199
Replace María Teresa Moreno-Flores with:
María Teresa Moreno-Flores Spain
Richard Fairless Germany
Lee Walus United States
Sylvia Soares France
I. Wanner United States
Carla Taveggia Italy
Yuqin Yin United States
Qi Cui China
Masashi Fujitani Japan
Sebastian Thams Sweden
Zhida Su relative to María Teresa Moreno-Flores Spain María Teresa Moreno-Flores's profile →
Citations per field
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María Teresa Moreno-Flores · 1×
Citations per year

Countries citing papers authored by Zhida Su

Since Specialization
Citations

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

Fields of papers citing papers by Zhida Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014344
2 2011103
3 2010100
4 201388
5 201682
6 200669
7 200765
8 201065
9 200761
10 201959
11 201658
12 201453
13 200944
14 201941
15 201532
16 201230
17 201730
18 202229
19 201026
20 201123

About Zhida Su

Zhida Su is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience, Molecular Biology, Neurology and Pathology and Forensic Medicine, having authored 39 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (25 papers), Nerve injury and regeneration (14 papers), Pluripotent Stem Cells Research (8 papers), Neuroinflammation and Neurodegeneration Mechanisms (7 papers), Spinal Cord Injury Research (5 papers), Olfactory and Sensory Function Studies (4 papers), RNA Interference and Gene Delivery (3 papers) and Axon Guidance and Neuronal Signaling (3 papers). The work is most often cited by research in Developmental Neuroscience (681 citations), Cellular and Molecular Neuroscience (718 citations), Neurology (286 citations), Sensory Systems (133 citations) and Pathology and Forensic Medicine (199 citations). Zhida Su has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Cheng He, Yimin Yuan, Chun‐Li Zhang, Yuhua Zou, Wenze Niu, Yanling Zhu, Meng-Lu Liu, Li Cao, Yang Qiu and Xin Hu. Their work appears in journals such as Glia, Brain Research, Theranostics, Cell Reports and Brain Behavior and Immunity.

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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