Guilian Tian

1.0k citations
19 papers · 767 indexed · h-index 12
Topics
Neuroscience and Neuropharmacology Research (6 papers)Retinal Development and Disorders (5 papers)Photoreceptor and optogenetics research (3 papers)

In The Last Decade

Guilian Tian

19 papers receiving 760 citations

Peers

Guilian Tian
Comparison fields: 5 of 87
  • Molecular Biology 485
  • Cellular and Molecular Neuroscience 285
  • Cell Biology 120
  • Physiology 111
  • Neurology 107
Replace Kenneth Vielsted Christensen with:
Kenneth Vielsted Christensen Denmark
David X. Medina United States
Irene Llorente‐Folch Spain
Antonella Favit United States
Mügen Terzioglu Finland
Bashayer Al‐Mubarak Saudi Arabia
Gema Esquiva Spain
Keshava N. Kumar United States
Cherine Belal United States
Guilian Tian relative to Kenneth Vielsted Christensen Denmark Kenneth Vielsted Christensen's profile →
Citations per field
00.5×1.5×
Kenneth Vielsted Christensen · 1×
Citations per year

Countries citing papers authored by Guilian Tian

Since Specialization
Citations

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

Fields of papers citing papers by Guilian Tian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guilian Tian

This figure shows the co-authorship network connecting the top 25 collaborators of Guilian Tian. A scholar is included among the top collaborators of Guilian Tian based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Guilian Tian. Guilian Tian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
#WorkIndexed citations
1 2
2 3
3 20
4 11
5 6
6 11
7 12
8 13
9 14
10 66
11 10
12 51
13 71
14 44
15 176
16 36
17 70
18 142
19 9

About Guilian Tian

Guilian Tian is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience and Sensory Systems, having authored 19 papers that have together received 767 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (6 papers), Retinal Development and Disorders (5 papers) and Photoreceptor and optogenetics research (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (285 citations), Neurology (77 citations) and Developmental Neuroscience (32 citations). Guilian Tian has collaborated with scholars based in United States, Taiwan and Finland. Frequent co-authors include Chien‐liang Glenn Lin, Matthew E.R. Butchbach, Yoshikazu Imanishi, Qiongman Kong, Yueming Chang, Ina Nemet, Li‐Ching Lai, Philip Ropelewski, Xiu Shan and Hristelina Ilieva. Their work appears in journals such as Cell, Journal of Biological Chemistry and Neuron.

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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