X.-J. Wang

2.5k citations
12 papers · 1.7k · h-index 11

Impact in

    • Neural dynamics and brain function
    • Memory and Neural Mechanisms
    • Functional Brain Connectivity Studies
    • Neuroscience and Neuropharmacology Research
    • Photoreceptor and optogenetics research
    • Neuroscience and Neural Engineering

Papers in

X.-J. Wang

12 papers receiving 1.6k citations

Peers

X.-J. Wang
Comparison fields: 5 of 90
  • Cognitive Neuroscience 1.2k
  • Cellular and Molecular Neuroscience 698
  • Statistical and Nonlinear Physics 323
  • Psychiatry and Mental health 188
  • Philosophy 108
Replace Tara C. Thiagarajan with:
Tara C. Thiagarajan United States
SS Nagarajan United States
Enrico Simonotto United Kingdom
Søren Rahn Christensen Denmark
Jürgen Fell Germany
Adrián Ponce‐Alvarez Spain
Alexandros Goulas Germany
Matthias H. Munk Germany
Frédéric Roux United Kingdom
Tom Binzegger Switzerland
X.-J. Wang relative to Tara C. Thiagarajan United States Tara C. Thiagarajan's profile →
Citations per field
00.5×9.8×
Tara C. Thiagarajan · 1×
Citations per year

Countries citing papers authored by X.-J. Wang

Since Specialization
Citations

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

Fields of papers citing papers by X.-J. Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by X.-J. Wang. 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 X.-J. Wang. The network helps show where X.-J. Wang may publish in the future.

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2010289
2 2004285
3 1993198
4 2012183
5 2000169
6 1993137
7 1999133
8 1998108
9 199475
10 200747
11 201427
12 200310

About X.-J. Wang

X.-J. Wang is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Computer Networks and Communications, Statistical and Nonlinear Physics and Surgery, having authored 12 papers that have together received 1.7k indexed citations. Recurring topics across this work include Neural dynamics and brain function (7 papers), Neuroscience and Neuropharmacology Research (5 papers), Photoreceptor and optogenetics research (4 papers), Memory and Neural Mechanisms (3 papers), Nonlinear Dynamics and Pattern Formation (2 papers), Neuroscience and Neural Engineering (1 paper), Mental Health and Psychiatry (1 paper) and Neurology and Historical Studies (1 paper). The work is most often cited by research in Cognitive Neuroscience (1.2k citations), Cellular and Molecular Neuroscience (698 citations), Statistical and Nonlinear Physics (323 citations), Psychiatry and Mental health (188 citations) and Philosophy (108 citations). X.-J. Wang has collaborated with scholars based in United States, United Kingdom and Türkiye. Frequent co-authors include John Rinzel, John H. Krystal, Philip R. Corlett, Jesper Tegnér, Patricia S. Goldman‐Rakic, Christos Constantinidis, Paul C. Fletcher, Jane R. Taylor, Chris M. Hempel and Gina G. Turrigiano. Their work appears in journals such as Neuroscience, Cerebral Cortex, Physica D Nonlinear Phenomena, Progress in Neurobiology 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.

Explore authors with similar magnitude of impact