Weiqing Han

61 papers receiving 2.2k citations

Weiqing Han's Hit Papers

HIF-1α-BNIP3-mediated mitophagy in tubular cells protects against renal ischemia/reperfusion injury 2020 · 264 citations
2640+2+4Years since publication50100150200250

Peers

Weiqing Han
Comparison fields: 5 of 129
  • Endocrinology 211
  • Nephrology 112
  • Molecular Biology 1.1k
  • Pollution 176
  • Physiology 68
Replace Mikhail Alexeyev with:
Mikhail Alexeyev United States
Yifei Chen China
Hongrui Guo China
Lijuan Zhao China
Xiaoying Chen China
Mingxing Tian China
Long He China
Yaxin Liu China
Muhammad Zafarullah Canada
Hao Zhou China
Weiqing Han relative to Mikhail Alexeyev United States Mikhail Alexeyev's profile →
Citations per field
00.5×5.1×
Mikhail Alexeyev · 1×
Citations per year

Countries citing papers authored by Weiqing Han

Since Specialization
Citations

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

Fields of papers citing papers by Weiqing Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007297
2
HIF-1α-BNIP3-mediated mitophagy in tubular cells protects against renal ischemia/reperfusion injury
Hit paper breakdown →
2020264
3 2004135
4 2010132
5 2012102
6 200785
7 201376
8 201156
9 201055
10 200653
11 200753
12 201850
13 201243
14 201139
15 201238
16 200738
17 201234
18 201932
19 201030
20 200729

About Weiqing Han

Weiqing Han is a scholar working on Molecular Biology, Physiology, Endocrinology, Cardiology and Cardiovascular Medicine and Immunology, having authored 62 papers that have together received 2.2k indexed citations. Recurring topics across this work include Escherichia coli research studies (11 papers), Carbohydrate Chemistry and Synthesis (7 papers), Glycosylation and Glycoproteins Research (7 papers), Lipid Membrane Structure and Behavior (6 papers), Bacterial Genetics and Biotechnology (6 papers), Sphingolipid Metabolism and Signaling (5 papers), Nitric Oxide and Endothelin Effects (5 papers) and Bacteriophages and microbial interactions (5 papers). The work is most often cited by research in Endocrinology (211 citations), Nephrology (112 citations), Molecular Biology (1.1k citations), Pollution (176 citations) and Physiology (68 citations). Weiqing Han has collaborated with scholars based in China, United States and Russia. Frequent co-authors include Pingjin Gao, Pin‐Lan Li, Lu Feng, Lei Wang, Peng George Wang, Lian Xu, Min Xia, Jiansong Cheng, Lixiang Cao and Xinli Tian. Their work appears in journals such as International Journal of Environmental Research and Public Health, Biochemical and Biophysical Research Communications, American Journal of Physiology-Heart and Circulatory Physiology, Hypertension Research and Journal of Molecular Medicine.

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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