Rong-Hua Tao

863 citations
17 papers · 648 indexed · h-index 12

Rong-Hua Tao

17 papers receiving 641 citations

Peers

Rong-Hua Tao
Comparison fields: 5 of 69
  • Cellular and Molecular Neuroscience 118
  • Molecular Biology 430
  • Oncology 152
  • Immunology 115
  • Radiology, Nuclear Medicine and Imaging 117
Replace María Sol Degese with:
María Sol Degese Argentina
Julie Loader United Kingdom
Zhiyong Cheng China
Thierry Horner United States
Mitsuru Machide Japan
A. Kazlauskas United States
A Ando Japan
Glenn Pacheco United States
Huwate Yeerna United States
Jane Addis Canada
Rong-Hua Tao relative to María Sol Degese Argentina María Sol Degese's profile →
Citations per field
00.5×3.2×
María Sol Degese · 1×
Citations per year

Countries citing papers authored by Rong-Hua Tao

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Rong-Hua Tao, 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 Rong-Hua Tao Line = papers co-authored together Rong-Hua Tao links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 20241
2 202124
3 201727
4 201540
5 201512
6 201364
7 20124
8 20118
9 200946
10 2008164
11 200617
12 200612
13 200516
14 200521
15
Clinical and bacteriologic study of eighty-six patients with systemic lupus erythematosus complicated by infections.
19988
16
The structure of bovine retinal S-antigen: sequence analysis and identification of monoclonal antibody epitopes and uveitogenic site.
19878
17 1987176

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), Cell death mechanisms and regulation (3 papers), Glycosylation and Glycoproteins Research (2 papers), interferon and immune responses (2 papers), Epigenetics and DNA Methylation (2 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 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 Molecular Cancer Research, Biochemical and Biophysical Research Communications, Blood, The Journal of Clinical Endocrinology & Metabolism and Cancers.

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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