Maoying Han

705 citations
11 papers · 266 · 1 hit paper · h-index 6

Impact in

Papers in

    • Angiogenesis and VEGF in Cancer 2
    • RNA Research and Splicing 2
    • Pluripotent Stem Cells Research 2
    • Single-cell and spatial transcriptomics 1
    • Ion channel regulation and function 1
    • Pancreatic function and diabetes 2

Maoying Han

9 papers receiving 261 citations

Hit Papers

Proliferation tracing reveals regional hepatocyte generation in liver homeostasis and repair 2021 · 153 citations
1530+1+3Years since publication50100150

Peers

Maoying Han
Comparison fields: 5 of 69
  • Hepatology 69
  • Aging 11
  • Immunology 49
  • Cell Biology 28
  • Molecular Biology 116
Replace G. Vuagniaux with:
G. Vuagniaux Switzerland
Sandeep Nadella United States
Mingsen Li China
Olga Smirnova United States
Laura J. Zitur United States
Xiaoran Zhang China
Max A. Cayo United States
Adi Har‐Zahav Israel
Niya Aleksieva United Kingdom
Macarena Ruiz‐Ferrer Spain
Maoying Han relative to G. Vuagniaux Switzerland G. Vuagniaux's profile →
Citations per field
00.5×10×14.9×
G. Vuagniaux · 1×
Citations per year

Countries citing papers authored by Maoying Han

Since Specialization
Citations

This map shows the geographic impact of Maoying 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 Maoying Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maoying Han more than expected).

Fields of papers citing papers by Maoying Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maoying 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 Maoying Han. The network helps show where Maoying Han may publish in the future.

Co-authors

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

All Works

11 of 11 papers shown
#Work
1
Proliferation tracing reveals regional hepatocyte generation in liver homeostasis and repair
Hit paper breakdown →
2021153
2 202433
3 202332
4 202218
5 202317
6 20226
7 20233
8 20232
9 20202
10 20250
11 20250

About Maoying Han

Maoying Han is a scholar working on Molecular Biology, Surgery, Physiology, Cardiology and Cardiovascular Medicine and Genetics, having authored 11 papers that have together received 266 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (2 papers), Angiogenesis and VEGF in Cancer (2 papers), RNA Research and Splicing (2 papers), Pluripotent Stem Cells Research (2 papers), Single-cell and spatial transcriptomics (1 paper), Hippo pathway signaling and YAP/TAZ (1 paper), Diabetes Management and Research (1 paper) and Ion channel regulation and function (1 paper). The work is most often cited by research in Hepatology (69 citations), Aging (11 citations), Immunology (49 citations), Cell Biology (28 citations) and Molecular Biology (116 citations). Maoying Han has collaborated with scholars based in China, Germany and Mexico. Frequent co-authors include Bin Zhou, Xiuxiu Liu, Qing‐Dong Wang, Lingjuan He, Jan S. Tchorz, Ruilin Sun, Wenjuan Pu, Kuo Liu, Yi Li and Zhenqian Zhang. Their work appears in journals such as npj Regenerative Medicine, The EMBO Journal, Journal of Molecular and Cellular Cardiology, Science and Circulation Research.

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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