Xiangmin Xu

6.6k citations
123 papers · 4.2k indexed · 1 hit paper · h-index 33

Xiangmin Xu

113 papers receiving 4.1k citations

Hit Papers

Beyond t test and ANOVA: applications of mixed-effects mo...272202120262022202450100150200250

Peers

Xiangmin Xu
Comparison fields: 5 of 152
  • Cellular and Molecular Neuroscience 2.3k
  • Developmental Neuroscience 453
  • Cognitive Neuroscience 2.0k
  • Neurology 523
  • Behavioral Neuroscience 199
Replace Hiroyuki Okuno with:
Hiroyuki Okuno Japan
Yu Fu China
Maria Toledo‐Rodriguez United Kingdom
Germán Barrionuevo United States
Gavin Rumbaugh United States
Marlene Bartos Germany
Laura Cancedda Italy
Alvaro Duque United States
Arvind Govindarajan United States
Maarten H. P. Kole Netherlands
Xiangmin Xu relative to Hiroyuki Okuno Japan Hiroyuki Okuno's profile →
Citations per field
00.5×1.5×2.1×
Hiroyuki Okuno · 1×
Citations per year

Countries citing papers authored by Xiangmin Xu

Since Specialization
Citations

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

Fields of papers citing papers by Xiangmin Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20243
3 20240
4 20243
5 202418
6 20231
7 20230
8 202212
9 20228
10 201766
11 201722
12 201035
13 2009333
14 2009170
15 200643
16 200530
17
Medical image segmentation based on region growing arithmetic
20046
18
Research of Medical Image Segmentation Based on Improved Watershed Algorithm
20032
19 20029
20
[The natural history of electrophysiological and magnetic resonance changes of subacute combined degeneration].
20012

About Xiangmin Xu

Xiangmin Xu is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience and Cognitive Neuroscience, having authored 123 papers that have together received 4.2k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (44 papers), Neural dynamics and brain function (36 papers), Memory and Neural Mechanisms (18 papers), Neuroinflammation and Neurodegeneration Mechanisms (17 papers), Neuroscience and Neural Engineering (12 papers), Visual perception and processing mechanisms (12 papers), Neurogenesis and neuroplasticity mechanisms (12 papers) and Photoreceptor and optogenetics research (10 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.3k citations), Developmental Neuroscience (453 citations) and Cognitive Neuroscience (2.0k citations). Xiangmin Xu has collaborated with scholars based in United States, China and Chile. Frequent co-authors include Edward M. Callaway, Todd C. Holmes, Taruna Ikrar, Vivien A. Casagrande, Yanjun Sun, Steven F. Grieco, Nicholas D. Olivas, Lujia Chen, Elaine Tring and Joshua T. Trachtenberg. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of 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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