Lian‐Ming Tian
- Cellular and Molecular Neuroscience top 5%
- Molecular Biology
- Cognitive Neuroscience
- Ecology, Evolution, Behavior and Systematics
- Psychiatry and Mental health
- Co-authors
- Terry CrowKarim A. AlkadhiStephen C. MasseySameer OtoomStephen L. MillsHideo HoshiNange JinRyo Kawai
- Topics
- Photoreceptor and optogenetics research (12 papers)Neurobiology and Insect Physiology Research (10 papers)Retinal Development and Disorders (9 papers)
- Partner nations
- United StatesJapanBulgaria
In The Last Decade
Lian‐Ming Tian
27 papers receiving 357 citations
Peers
Comparison fields: 5 of 54
- Cellular and Molecular Neuroscience 316
- Molecular Biology 205
- Cognitive Neuroscience 98
- Ecology, Evolution, Behavior and Systematics 59
- Psychiatry and Mental health 45
Countries citing papers authored by Lian‐Ming Tian
This map shows the geographic impact of Lian‐Ming 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 Lian‐Ming Tian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lian‐Ming Tian more than expected).
Fields of papers citing papers by Lian‐Ming Tian
This network shows the impact of papers produced by Lian‐Ming 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 Lian‐Ming Tian. The network helps show where Lian‐Ming Tian may publish in the future.
Co-authorship network of co-authors of Lian‐Ming Tian
This figure shows the co-authorship network connecting the top 25 collaborators of Lian‐Ming Tian. A scholar is included among the top collaborators of Lian‐Ming 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 Lian‐Ming Tian. Lian‐Ming Tian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 38 | |
| 3 | Roles of Tbr1 in retinal ganglion cell subtype formation | 1 |
| 4 | 28 | |
| 5 | The Morphology and Physiology of Blue/Green Ganglion Cells in the Rabbit Retina | 1 |
| 6 | 8 | |
| 7 | 24 | |
| 8 | 1 | |
| 9 | 3 | |
| 10 | 5 | |
| 11 | 17 | |
| 12 | 13 | |
| 13 | 6 | |
| 14 | 18 | |
| 15 | 12 | |
| 16 | 17 | |
| 17 | 19 | |
| 18 | 15 | |
| 19 | 30 | |
| 20 | 31 |
About Lian‐Ming Tian
Lian‐Ming Tian is a scholar working on Cellular and Molecular Neuroscience, Aging and Cognitive Neuroscience, having authored 28 papers that have together received 384 indexed citations. Recurring topics across this work include Photoreceptor and optogenetics research (12 papers), Neurobiology and Insect Physiology Research (10 papers) and Retinal Development and Disorders (9 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (316 citations), Cognitive Neuroscience (98 citations) and Endocrine and Autonomic Systems (25 citations). Lian‐Ming Tian has collaborated with scholars based in United States, Japan and Bulgaria. Frequent co-authors include Terry Crow, Karim A. Alkadhi, Stephen C. Massey, Sameer Otoom, Stephen L. Mills, Hideo Hoshi, Nange Jin, Ryo Kawai, Christopher M. Whitaker and Pramod K. Dash. Their work appears in journals such as Journal of Neuroscience, The Journal of Comparative Neurology and Journal of Neurophysiology.
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.