H.Q. Han

1.9k total citations · 1 hit paper
9 papers, 1.5k citations indexed

About

H.Q. Han is a scholar working on Molecular Biology, Physiology and Cell Biology. According to data from OpenAlex, H.Q. Han has authored 9 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Physiology and 4 papers in Cell Biology. Recurrent topics in H.Q. Han's work include Muscle Physiology and Disorders (8 papers), Nutrition and Health in Aging (6 papers) and Muscle metabolism and nutrition (4 papers). H.Q. Han is often cited by papers focused on Muscle Physiology and Disorders (8 papers), Nutrition and Health in Aging (6 papers) and Muscle metabolism and nutrition (4 papers). H.Q. Han collaborates with scholars based in United States, Spain and Canada. H.Q. Han's co-authors include Xiaolan Zhou, William E. Mitch, Alfred L. Goldberg, Yanping Song, David L. Lacey, W. Scott Simonet, Thomas C. Boone, John Lu, Robert Rosenfeld and Qing Chen and has published in prestigious journals such as Cell, Circulation and Cancer Research.

In The Last Decade

H.Q. Han

9 papers receiving 1.5k citations

Hit Papers

Reversal of Cancer Cachexia and Muscle Wasting by ActRIIB... 2010 2026 2015 2020 2010 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
H.Q. Han United States 8 1.1k 917 270 199 139 9 1.5k
Tufan Aydogdu United States 4 825 0.7× 622 0.7× 86 0.3× 140 0.7× 161 1.2× 6 1.1k
Fabrizio Pin United States 26 1.3k 1.2× 1.2k 1.4× 150 0.6× 227 1.1× 192 1.4× 55 2.0k
Bingwen Jin United States 14 1.2k 1.1× 448 0.5× 191 0.7× 54 0.3× 289 2.1× 17 1.6k
Douglas J. DiGirolamo United States 17 1.0k 0.9× 479 0.5× 123 0.5× 118 0.6× 39 0.3× 18 1.9k
Qingsheng Jiao United States 4 569 0.5× 431 0.5× 94 0.3× 116 0.6× 52 0.4× 6 803
Katarzyna Goljanek‐Whysall United Kingdom 19 869 0.8× 328 0.4× 101 0.4× 148 0.7× 59 0.4× 61 1.3k
Medet Jumabay United States 20 544 0.5× 221 0.2× 56 0.2× 156 0.8× 52 0.4× 37 1.5k
Paolo Pignataro Italy 10 453 0.4× 518 0.6× 81 0.3× 64 0.3× 87 0.6× 13 885
Mun Chun Chan United States 11 742 0.7× 220 0.2× 89 0.3× 32 0.2× 65 0.5× 11 1.0k
Victoria DeMambro United States 23 825 0.7× 396 0.4× 52 0.2× 64 0.3× 27 0.2× 46 1.6k

Countries citing papers authored by H.Q. Han

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of H.Q. Han

This figure shows the co-authorship network connecting the top 25 collaborators of H.Q. Han. A scholar is included among the top collaborators of H.Q. Han 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 H.Q. Han. H.Q. Han is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Hanson, Andrea M., Mary H. Young, Brooke C. Harrison, et al.. (2023). Inhibiting myostatin signaling partially mitigates structural and functional adaptations to hindlimb suspension in mice. npj Microgravity. 9(1). 2–2. 8 indexed citations
2.
Toledo, Míriam, Sı́lvia Busquets, Fabio Penna, et al.. (2015). Complete reversal of muscle wasting in experimental cancer cachexia: Additive effects of activin type II receptor inhibition and β‐2 agonist. International Journal of Cancer. 138(8). 2021–2029. 53 indexed citations
3.
Lawrence, Jeffrey, Carolyn F. Moyer, Mehrdad Ameri, et al.. (2014). Abstract 13907: Statin-Induced Myopathy is Mediated by Isoprenoid Depletion and is Independent of Serum Cholesterol Levels. Circulation. 130(suppl_2). 2 indexed citations
4.
Han, H.Q., Xiaolan Zhou, William E. Mitch, & Alfred L. Goldberg. (2013). Myostatin/activin pathway antagonism: Molecular basis and therapeutic potential. The International Journal of Biochemistry & Cell Biology. 45(10). 2333–2347. 243 indexed citations
5.
Han, H.Q. & William E. Mitch. (2011). Targeting the myostatin signaling pathway to treat muscle wasting diseases. Current Opinion in Supportive and Palliative Care. 5(4). 334–341. 72 indexed citations
6.
Zhang, Ping, Eugene Lin, Zhaoyong Hu, et al.. (2011). Pharmacological inhibition of myostatin suppresses systemic inflammation and muscle atrophy in mice with chronic kidney disease. The FASEB Journal. 25(5). 1653–1663. 244 indexed citations
7.
Busquets, Sı́lvia, Míriam Toledo, Marcel Orpí, et al.. (2011). Myostatin blockage using actRIIB antagonism in mice bearing the Lewis lung carcinoma results in the improvement of muscle wasting and physical performance. Journal of Cachexia Sarcopenia and Muscle. 3(1). 37–43. 108 indexed citations
8.
Zhou, Xiaolan, John Lu, Yanping Song, et al.. (2010). Reversal of Cancer Cachexia and Muscle Wasting by ActRIIB Antagonism Leads to Prolonged Survival. Cell. 142(4). 531–543. 731 indexed citations breakdown →
9.
Zhou, Xiaolan, Vered Solomon, Vickie E. Baracos, et al.. (2004). Regulation of Protein Catabolism by Muscle-Specific and Cytokine-Inducible Ubiquitin Ligase E3α-II during Cancer Cachexia. Cancer Research. 64(22). 8193–8198. 81 indexed citations

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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