Huai‐Dong Song
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- Thyroid Disorders and Treatments 26
- Hormonal and reproductive studies 11
- Hematology top 5%
- Cancer Research top 5%
- Molecular Biology top 5%
- Sexual Differentiation and Disorders 19
- Congenital heart defects research 15
- RNA modifications and cancer 9
- Genetics top 5%
- Diabetes and associated disorders 19
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 11
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- T-cell and B-cell Immunology 10
- Co-authors
- Chun‐Ming PanShuang‐Xia ZhaoJingyi ShiSai‐Juan ChenZhaohui GuXiaojing YanGang LüYongmei Zhu
- Journals
- New England Journal of Medicine (1 paper)Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Huai‐Dong Song
144 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Endocrinology, Diabetes and Metabolism 627
- Hematology 342
- Cancer Research 379
- Molecular Biology 1.7k
- Genetics 646
Countries citing papers authored by Huai‐Dong Song
This map shows the geographic impact of Huai‐Dong Song'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 Huai‐Dong Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huai‐Dong Song more than expected).
Fields of papers citing papers by Huai‐Dong Song
This network shows the impact of papers produced by Huai‐Dong Song. 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 Huai‐Dong Song. The network helps show where Huai‐Dong Song may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Huai‐Dong Song, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 4 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 3 | |
| 6 | 2023 | 28 | |
| 7 | 2023 | 3 | |
| 8 | 2023 | 3 | |
| 9 | 2022 | 15 | |
| 10 | 2021 | 7 | |
| 11 | 2021 | 3 | |
| 12 | 2020 | 5 | |
| 13 | 2020 | 10 | |
| 14 | Application of a hybrid model in predicting the incidence of tuberculosis in a Chinese population | 2019 | 1 |
| 15 | 2019 | 22 | |
| 16 | 2018 | 13 | |
| 17 | 2016 | 14 | |
| 18 | 2011 | 2 | |
| 19 | Concomitant increases in spectrum and level of drug resistance in Mycobacterium tuberculosis isolates. | 2010 | 13 |
| 20 | 2008 | 6 |
About Huai‐Dong Song
Huai‐Dong Song is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Molecular Biology, having authored 146 papers that have together received 3.2k indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (26 papers), Diabetes and associated disorders (19 papers), Sexual Differentiation and Disorders (19 papers), Congenital heart defects research (15 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (11 papers), Hormonal and reproductive studies (11 papers), T-cell and B-cell Immunology (10 papers) and RNA modifications and cancer (9 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (627 citations), Hematology (342 citations) and Cancer Research (379 citations). Huai‐Dong Song has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Chun‐Ming Pan, Shuang‐Xia Zhao, Jingyi Shi, Sai‐Juan Chen, Zhaohui Gu, Xiaojing Yan, Gang Lü, Yongmei Zhu, Xiaowei Zhang and Jian‐Qing Mi. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.