Ming Han

1.3k citations
40 papers · 980 · 1 hit paper · h-index 18

Impact in

Papers in

Ming Han

38 papers receiving 972 citations

Ming Han's Hit Papers

A randomized-controlled trial of ischemia-free liver transplantation for end-stage liver disease 2023 · 85 citations
850+1+2Years since publication255075

Peers

Ming Han
Comparison fields: 5 of 103
  • Hepatology 173
  • Transplantation 48
  • Health, Toxicology and Mutagenesis 257
  • Surgery 289
  • Pollution 79
Replace Matteo Angelo Cannizzaro with:
Matteo Angelo Cannizzaro Italy
Giuliano Polichetti Italy
Jin Yong Choi South Korea
Christian Corbin Frye United States
Pauline Pradère France
Yiwen Qiu China
Chunxia Zheng China
Angela Cheung Canada
Mariana E. Hildesheim United States
Yvonne Huber Germany
Ming Han relative to Matteo Angelo Cannizzaro Italy Matteo Angelo Cannizzaro's profile →
Citations per field
00.5×2×4×5.2×
Matteo Angelo Cannizzaro · 1×
Citations per year

Countries citing papers authored by Ming Han

Since Specialization
Citations

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

Fields of papers citing papers by Ming Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017129
2
A randomized-controlled trial of ischemia-free liver transplantation for end-stage liver disease
Hit paper breakdown →
202385
3 201481
4 201352
5 201052
6 201348
7 201246
8 201045
9 201744
10 201740
11 200933
12 201929
13 201128
14 201326
15 201726
16 201624
17 201723
18 201321
19 201717
20 202015

About Ming Han

Ming Han is a scholar working on Transplantation, Health, Toxicology and Mutagenesis, Surgery, Hepatology and Cancer Research, having authored 40 papers that have together received 980 indexed citations. Recurring topics across this work include Organ Transplantation Techniques and Outcomes (10 papers), Air Quality and Health Impacts (7 papers), Renal Transplantation Outcomes and Treatments (4 papers), Organ Donation and Transplantation (4 papers), Transplantation: Methods and Outcomes (3 papers), Liver Disease and Transplantation (3 papers), Muscle and Compartmental Disorders (2 papers) and Plant Stress Responses and Tolerance (2 papers). The work is most often cited by research in Hepatology (173 citations), Transplantation (48 citations), Health, Toxicology and Mutagenesis (257 citations), Surgery (289 citations) and Pollution (79 citations). Ming Han has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Nan Sang, Guangke Li, Xiaotong Ji, Xiaopeng Yuan, Lin Guo, Hongyan Li, Zhen Guo, Zhexuan Lin, Xiaoping Wang and Jian Hua Zhou. Their work appears in journals such as Chemosphere, Transplantation, Oncotarget, Clinical Transplantation and Biological Trace Element 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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