Rong-Hua Tao
- Molecular Biology
- Oncology
- Cellular and Molecular Neuroscience
- Radiology, Nuclear Medicine and Imaging top 10%
- Immunology
- Co-authors
- Ichiro MaruyamaFelipe SamaniegoZuzana BerkovaCheryl M. CraftToshimichi ShinoharaLarry A. DonosoB DietzscholdJoseph Horwitz
- Topics
- Sexual Differentiation and Disorders (4 papers)Hormonal and reproductive studies (3 papers)Cell death mechanisms and regulation (3 papers)
- Journals
- Proceedings of the National Academy of SciencesBloodThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- United StatesJapanChina
In The Last Decade
Rong-Hua Tao
17 papers receiving 641 citations
Peers
Comparison fields: 5 of 69
- Molecular Biology 430
- Oncology 152
- Cellular and Molecular Neuroscience 118
- Radiology, Nuclear Medicine and Imaging 117
- Immunology 115
Countries citing papers authored by Rong-Hua Tao
This map shows the geographic impact of Rong-Hua Tao'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 Rong-Hua Tao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rong-Hua Tao more than expected).
Fields of papers citing papers by Rong-Hua Tao
This network shows the impact of papers produced by Rong-Hua Tao. 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 Rong-Hua Tao. The network helps show where Rong-Hua Tao may publish in the future.
Co-authorship network of co-authors of Rong-Hua Tao
This figure shows the co-authorship network connecting the top 25 collaborators of Rong-Hua Tao. A scholar is included among the top collaborators of Rong-Hua Tao 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 Rong-Hua Tao. Rong-Hua Tao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 24 | |
| 3 | 27 | |
| 4 | 40 | |
| 5 | 12 | |
| 6 | 64 | |
| 7 | 4 | |
| 8 | 8 | |
| 9 | 46 | |
| 10 | 164 | |
| 11 | 17 | |
| 12 | 12 | |
| 13 | 16 | |
| 14 | 21 | |
| 15 | Clinical and bacteriologic study of eighty-six patients with systemic lupus erythematosus complicated by infections. | 8 |
| 16 | The structure of bovine retinal S-antigen: sequence analysis and identification of monoclonal antibody epitopes and uveitogenic site. | 8 |
| 17 | 176 |
About Rong-Hua Tao
Rong-Hua Tao is a scholar working on Physiology, Immunology and Endocrinology, Diabetes and Metabolism, having authored 17 papers that have together received 648 indexed citations. Recurring topics across this work include Sexual Differentiation and Disorders (4 papers), Hormonal and reproductive studies (3 papers) and Cell death mechanisms and regulation (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (118 citations), Molecular Biology (430 citations) and Oncology (152 citations). Rong-Hua Tao has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Ichiro Maruyama, Felipe Samaniego, Zuzana Berkova, Cheryl M. Craft, Toshimichi Shinohara, Larry A. Donoso, B Dietzschold, Joseph Horwitz, Rohit Mathur and Haifeng Zhu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Blood and The Journal of Clinical Endocrinology & Metabolism.
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.