In Hong Yang
- Cellular and Molecular Neuroscience top 2%
- Biomedical Engineering top 5%
- Molecular Biology
- Developmental Neuroscience top 2%
- Epidemiology
- Co-authors
- Nitish V. ThakorRonald S. GoldsteinSuneil HosmaneSeeram RamakrishnaBaiwen LuoAgata BlasiakRezina SiddiqueLingling Tian
- Topics
- Neuroscience and Neural Engineering (17 papers)Nerve injury and regeneration (12 papers)3D Printing in Biomedical Research (10 papers)
- Journals
- Proceedings of the National Academy of SciencesAngewandte Chemie International EditionNature Communications
- Partner nations
- United StatesSingaporeChina
In The Last Decade
In Hong Yang
54 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 131
- Cellular and Molecular Neuroscience 670
- Biomedical Engineering 563
- Molecular Biology 422
- Developmental Neuroscience 184
- Epidemiology 175
Countries citing papers authored by In Hong Yang
This map shows the geographic impact of In Hong Yang'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 In Hong Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites In Hong Yang more than expected).
Fields of papers citing papers by In Hong Yang
This network shows the impact of papers produced by In Hong Yang. 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 In Hong Yang. The network helps show where In Hong Yang may publish in the future.
Co-authorship network of co-authors of In Hong Yang
This figure shows the co-authorship network connecting the top 25 collaborators of In Hong Yang. A scholar is included among the top collaborators of In Hong Yang 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 In Hong Yang. In Hong Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 6 | |
| 3 | 4 | |
| 4 | 4 | |
| 5 | 72 | |
| 6 | 57 | |
| 7 | 13 | |
| 8 | 48 | |
| 9 | 39 | |
| 10 | 43 | |
| 11 | 69 | |
| 12 | 10 | |
| 13 | 75 | |
| 14 | 14 | |
| 15 | 105 | |
| 16 | Expression of a Manganese Peroxidase Gene(mnp5) from White rot fungus Phanerochaete chrysosporium in the Pichia pastoris | 2 |
| 17 | 24 | |
| 18 | 42 | |
| 19 | Analysis of transcriptional activation domains of eukaryotic transcription factors using yeast GAL4 fusion system | 0 |
| 20 | Strain Analysis using Fourier Transform Grid Method and Its Image Processing | 0 |
About In Hong Yang
In Hong Yang is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Structural Biology, having authored 56 papers that have together received 1.7k indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (17 papers), Nerve injury and regeneration (12 papers) and 3D Printing in Biomedical Research (10 papers). The work is most often cited by research in Developmental Neuroscience (184 citations), Cellular and Molecular Neuroscience (670 citations) and Neurology (108 citations). In Hong Yang has collaborated with scholars based in United States, Singapore and China. Frequent co-authors include Nitish V. Thakor, Ronald S. Goldstein, Suneil Hosmane, Seeram Ramakrishna, Baiwen Luo, Agata Blasiak, Rezina Siddique, Lingling Tian, Carlos C. Co and Chia‐Chi Ho. Their work appears in journals such as Proceedings of the National Academy of Sciences, Angewandte Chemie International Edition and Nature Communications.
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.