Han De-wu

602 citations
28 papers · 513 · h-index 10

Impact in

Papers in

Han De-wu

27 papers receiving 498 citations

Peers

Han De-wu
Comparison fields: 5 of 82
  • Hepatology 53
  • Endocrinology, Diabetes and Metabolism 95
  • Epidemiology 128
  • Periodontics 16
  • Physiology 86
Replace Tadeja Pintar with:
Tadeja Pintar Slovenia
Heidi Koivisto Finland
Karthickeyan Chella Krishnan United States
J. Ignacio Monreal Spain
Subir R. Maitra United States
Jorge Gutiérrez‐Cuevas Mexico
Qian Zhuang China
Claudia Cristina Tărniceriu Romania
Vincenzo Citro Italy
Wei‐Wen Hung Taiwan
Han De-wu relative to Tadeja Pintar Slovenia Tadeja Pintar's profile →
Citations per field
00.5×10×15×21×
Tadeja Pintar · 1×
Citations per year

Countries citing papers authored by Han De-wu

Since Specialization
Citations

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

Fields of papers citing papers by Han De-wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002135
2 201488
3 200340
4 201933
5 199333
6 201432
7 200931
8 201629
9 201828
10 201715
11 20137
12 20177
13
[Lysozyme and lactoferrin in human uncinate process mucosa during chronic sinusitis].
19987
14 20145
15
[Effect of glycine on the expression of CD(14) gene and protein of hepatic tissue in the course of developing cirrhosis of rats].
20025
16 20153
17 20192
18
Glycine protects against non-alcoholic hepatitis by downregulation of the TLR4 signaling pathway.
20172
19
Increased expression of 78 kD glucose-regulated protein promotes cardiomyocyte apoptosis in a rat model of liver cirrhosis.
20152
20 19972

About Han De-wu

Han De-wu is a scholar working on Cell Biology, Epidemiology, Surgery, Immunology and Hepatology, having authored 28 papers that have together received 513 indexed citations. Recurring topics across this work include Endoplasmic Reticulum Stress and Disease (7 papers), Liver Disease Diagnosis and Treatment (6 papers), Immune Response and Inflammation (4 papers), Liver Disease and Transplantation (3 papers), Diet, Metabolism, and Disease (3 papers), Pancreatitis Pathology and Treatment (2 papers), Alcohol Consumption and Health Effects (2 papers) and Neurological Disease Mechanisms and Treatments (2 papers). The work is most often cited by research in Hepatology (53 citations), Endocrinology, Diabetes and Metabolism (95 citations), Epidemiology (128 citations), Periodontics (16 citations) and Physiology (86 citations). Han De-wu has collaborated with scholars based in China, United States and Ireland. Frequent co-authors include Huiwen Wu, Ruiling Xu, Yuanchang Zhao, Suhong Li, Xiangyu Wang, Laifeng Ren, Xing Zhou, Xiangyu Wang, Louis M. Lin and Anahid Jewett. Their work appears in journals such as World Journal of Gastroenterology, Gene, Oncotarget, Cell Biochemistry and Function and PLoS ONE.

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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