Junru Tian

1.6k citations
49 papers · 1.3k · h-index 20

Impact in

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

Papers in

Junru Tian

49 papers receiving 1.3k citations

Peers

Junru Tian
Comparison fields: 5 of 97
  • Neurology 586
  • Cognitive Neuroscience 551
  • Ophthalmology 235
  • Pathology and Forensic Medicine 346
  • Sensory Systems 87
Replace Peter Trillenberg with:
Peter Trillenberg Germany
Agnes Wong Canada
Fatema F. Ghasia United States
J. Goldberg United States
Guy Chéron Belgium
Guntram Kommerell Germany
Scott D.Z. Eggers United States
Mingjia Dai United States
Stefan Hegemann Switzerland
C. Pierrot‐Deseilligny France
Junru Tian relative to Peter Trillenberg Germany Peter Trillenberg's profile →
Citations per field
00.5×1.5×2.5×
Peter Trillenberg · 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 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005128
2 1996122
3 199693
4 200085
5 199173
6 199255
7 200154
8 199752
9 200247
10 199544
11 201141
12 200139
13 200035
14 200935
15 200034
16 200234
17 200332
18 202028
19 201921
20 200520

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 49 papers that have together received 1.3k indexed citations. Recurring topics across this work include Vestibular and auditory disorders (25 papers), Ophthalmology and Eye Disorders (20 papers), Visual perception and processing mechanisms (10 papers), Glaucoma and retinal disorders (8 papers), Ophthalmology and Visual Impairment Studies (5 papers), Genetic Neurodegenerative Diseases (4 papers), Cerebral Venous Sinus Thrombosis (4 papers) and Neural dynamics and brain function (4 papers). The work is most often cited by research in Neurology (586 citations), Cognitive Neuroscience (551 citations), Ophthalmology (235 citations), Pathology and Forensic Medicine (346 citations) and Sensory Systems (87 citations). Junru Tian has collaborated with scholars based in United States, China and Czechia. Frequent co-authors include Joseph L. Demer, James C. Lynch, James C. Lynch, Benjamin T. Crane, David S. Zee, Susan E. Folstein, Gerald Wiest, A. G. Lasker, Madeleine Schlag-Rey and John Schlag. Their work appears in journals such as Experimental Brain Research, Annals of the New York Academy of Sciences, Journal of Neurophysiology, Investigative Ophthalmology & Visual Science and Neurology.

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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