Junru Tian

1.3k citations
34 papers · 1.1k · h-index 16

Impact in

  • Neurology top 1%
    • Vestibular and auditory disorders
    • Visual perception and processing mechanisms
    • Neural dynamics and brain function

Papers in

Junru Tian

33 papers receiving 1.0k citations

Peers

Junru Tian
Comparison fields: 5 of 70
  • Neurology 508
  • Cognitive Neuroscience 457
  • Ophthalmology 145
  • Sensory Systems 60
  • Pathology and Forensic Medicine 196
Replace Aasef G. Shaikh with:
Aasef G. Shaikh United States
Mark F. Walker United States
Peter Trillenberg Germany
Martin Gizzi United States
U.W. Buettner Germany
Sarah Marti Switzerland
Klaus G. Rottach United States
W. Heide Germany
Olympia Kremmyda Germany
Yuriko Sugiuchi Japan
Junru Tian relative to Aasef G. Shaikh United States Aasef G. Shaikh's profile →
Citations per field
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Aasef G. Shaikh · 1×
Citations per year

Countries citing papers authored by Junru Tian

Since Specialization
Citations

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

Fields of papers citing papers by Junru Tian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005130
2 1996122
3 199693
4 200085
5 199173
6 199255
7 200154
8 199752
9 200247
10 199544
11 200139
12 200935
13 200035
14 200234
15 201922
16 201419
17 200113
18 200612
19 200812
20 200111

About Junru Tian

Junru Tian is a scholar working on Neurology, Pathology and Forensic Medicine, Cognitive Neuroscience, Cellular and Molecular Neuroscience and Ophthalmology, having authored 34 papers that have together received 1.1k indexed citations. Recurring topics across this work include Vestibular and auditory disorders (21 papers), Ophthalmology and Eye Disorders (16 papers), Glaucoma and retinal disorders (6 papers), Visual perception and processing mechanisms (6 papers), Ophthalmology and Visual Impairment Studies (5 papers), Genetic Neurodegenerative Diseases (4 papers), Neural dynamics and brain function (3 papers) and Cerebral Venous Sinus Thrombosis (3 papers). The work is most often cited by research in Neurology (508 citations), Cognitive Neuroscience (457 citations), Ophthalmology (145 citations), Sensory Systems (60 citations) and Pathology and Forensic Medicine (196 citations). Junru Tian has collaborated with scholars based in United States, China and Czechia. Frequent co-authors include James C. Lynch, Joseph L. Demer, James C. Lynch, Benjamin T. Crane, David S. Zee, Susan E. Folstein, A. G. Lasker, Gerald Wiest, Susan J. Herdman and Robert W. Baloh. Their work appears in journals such as Experimental Brain Research, Annals of the New York Academy of Sciences, Journal of Neurophysiology, Neurology and Progress in brain research.

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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