Yang Song
Impact in
- Biochemistry top 1%
- Lipid metabolism and biosynthesis
- Hepatology top 5%
- Liver Disease and Transplantation
Papers in
-
- Natural product bioactivities and synthesis 5
- Epidemiology 14
- Liver Disease Diagnosis and Treatment 11
- Co-authors
- Christina Kendziorski (1 shared paper)James M. Ntambi (1 shared paper)Jonathan P. Stoehr (1 shared paper)Paul Cohen (1 shared paper)Makoto Miyazaki (1 shared paper)Brian S. Yandell (1 shared paper)Lan Hong (1 shared paper)Jeffrey M. Friedman (1 shared paper)
- Journals
- BMC Endocrine Disorders (3 papers)Molecules (3 papers)Journal of Dairy Science (3 papers)Blood (3 papers)British Journal of Haematology (2 papers)
- Partner nations
- ChinaFranceUnited States
In The Last Decade
Yang Song
62 papers receiving 2.3k citations
Yang Song's Hit Papers
Peers
Comparison fields: 5 of 123
- Biochemistry 293
- Hepatology 239
- Endocrinology, Diabetes and Metabolism 355
- Nutrition and Dietetics 304
- Hematology 197
Countries citing papers authored by Yang Song
This map shows the geographic impact of Yang 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 Yang Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yang Song more than expected).
Fields of papers citing papers by Yang Song
This network shows the impact of papers produced by Yang 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 Yang Song. The network helps show where Yang Song may publish in the future.
Co-authors
The 25 scholars most cited alongside Yang 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
Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Loss of stearoyl–CoA desaturase-1 function protects mice against adiposity Hit paper breakdown → | 2002 | 911 |
| 2 | 2015 | 120 | |
| 3 | 2015 | 80 | |
| 4 | 2016 | 77 | |
| 5 | 2018 | 63 | |
| 6 | 1995 | 56 | |
| 7 | 2013 | 52 | |
| 8 | 2017 | 44 | |
| 9 | 1997 | 41 | |
| 10 | 2019 | 40 | |
| 11 | 1997 | 35 | |
| 12 | 2018 | 35 | |
| 13 | 2015 | 33 | |
| 14 | 2019 | 32 | |
| 15 | 2017 | 32 | |
| 16 | 2020 | 31 | |
| 17 | 2019 | 31 | |
| 18 | 2016 | 28 | |
| 19 | 2019 | 28 | |
| 20 | 1994 | 27 |
About Yang Song
Yang Song is a scholar working on Molecular Biology, Epidemiology, Surgery, Hepatology and Hematology, having authored 68 papers that have together received 2.3k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (11 papers), Liver Disease and Transplantation (11 papers), Estrogen and related hormone effects (7 papers), Hematopoietic Stem Cell Transplantation (7 papers), Organ Transplantation Techniques and Outcomes (7 papers), Menopause: Health Impacts and Treatments (6 papers), Natural product bioactivities and synthesis (5 papers) and Ovarian function and disorders (5 papers). The work is most often cited by research in Biochemistry (293 citations), Hepatology (239 citations), Endocrinology, Diabetes and Metabolism (355 citations), Nutrition and Dietetics (304 citations) and Hematology (197 citations). Yang Song has collaborated with scholars based in China, France and United States. Frequent co-authors include Christina Kendziorski, James M. Ntambi, Jonathan P. Stoehr, Paul Cohen, Makoto Miyazaki, Brian S. Yandell, Lan Hong, Jeffrey M. Friedman, Alan Attie and Xiao‐Jun Huang. Their work appears in journals such as BMC Endocrine Disorders, Molecules, Journal of Dairy Science, Blood and British Journal of Haematology.
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.