H.Q. Han
Impact in
- Physiology top 2%
- Nutrition and Health in Aging
- Adipose Tissue and Metabolism
- Rehabilitation top 5%
- Exercise and Physiological Responses
Papers in
-
- Muscle Physiology and Disorders 8
- Mitochondrial Function and Pathology 2
-
- Nutrition and Health in Aging 6
- Adipose Tissue and Metabolism 1
- Co-authors
- Xiaolan Zhou (6 shared papers)William E. Mitch (3 shared papers)Alfred L. Goldberg (2 shared papers)Yanping Song (2 shared papers)David L. Lacey (2 shared papers)Qing Chen (1 shared paper)Thomas C. Boone (1 shared paper)Robert Rosenfeld (1 shared paper)
- Journals
- Journal of Cachexia Sarcopenia and Muscle (1 paper)The International Journal of Biochemistry & Cell Biology (1 paper)Current Opinion in Supportive and Palliative Care (1 paper)npj Microgravity (1 paper)Cell (1 paper)
- Partner nations
- United StatesSpainSouth Sudan
In The Last Decade
H.Q. Han
9 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 77
- Physiology 917
- Rehabilitation 139
- Molecular Biology 1.1k
- Cell Biology 270
- Rheumatology 199
Countries citing papers authored by H.Q. Han
This map shows the geographic impact of H.Q. Han'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 H.Q. Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H.Q. Han more than expected).
Fields of papers citing papers by H.Q. Han
This network shows the impact of papers produced by H.Q. Han. 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 H.Q. Han. The network helps show where H.Q. Han may publish in the future.
Co-authors
The 25 scholars most cited alongside H.Q. Han, 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 | Reversal of Cancer Cachexia and Muscle Wasting by ActRIIB Antagonism Leads to Prolonged Survival Hit paper breakdown → | 2010 | 731 |
| 2 | 2011 | 244 | |
| 3 | 2013 | 243 | |
| 4 | 2011 | 108 | |
| 5 | 2004 | 81 | |
| 6 | 2011 | 72 | |
| 7 | 2015 | 53 | |
| 8 | 2023 | 8 | |
| 9 | 2014 | 2 |
About H.Q. Han
H.Q. Han is a scholar working on Molecular Biology, Physiology, Cell Biology, Surgery and Rehabilitation, having authored 9 papers that have together received 1.5k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (8 papers), Nutrition and Health in Aging (6 papers), Muscle metabolism and nutrition (4 papers), Mitochondrial Function and Pathology (2 papers), Autophagy in Disease and Therapy (1 paper), Lipoproteins and Cardiovascular Health (1 paper), Adipose Tissue and Metabolism (1 paper) and Cancer, Lipids, and Metabolism (1 paper). The work is most often cited by research in Physiology (917 citations), Rehabilitation (139 citations), Molecular Biology (1.1k citations), Cell Biology (270 citations) and Rheumatology (199 citations). H.Q. Han has collaborated with scholars based in United States, Spain and South Sudan. Frequent co-authors include Xiaolan Zhou, William E. Mitch, Alfred L. Goldberg, Yanping Song, David L. Lacey, Qing Chen, Thomas C. Boone, Robert Rosenfeld, W. Scott Simonet and John Lu. Their work appears in journals such as Journal of Cachexia Sarcopenia and Muscle, The International Journal of Biochemistry & Cell Biology, Current Opinion in Supportive and Palliative Care, npj Microgravity and Cell.
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.