Qinglei Hang

2.2k citations
37 papers · 1.3k indexed · 1 hit paper · h-index 19
Topics
Cell Adhesion Molecules Research (12 papers)Glycosylation and Glycoproteins Research (9 papers)Ubiquitin and proteasome pathways (7 papers)
Partner nations
ChinaJapanUnited States

In The Last Decade

Qinglei Hang

37 papers receiving 1.3k citations

Hit Papers

SLC7A11 expression level dictates differential responses ...2023202620242025202350100150

Peers

Qinglei Hang
Comparison fields: 5 of 90
  • Molecular Biology 878
  • Immunology 309
  • Oncology 308
  • Cell Biology 231
  • Cancer Research 195
Replace Daniel T. Dransfield with:
Daniel T. Dransfield United States
Josie Ursini‐Siegel Canada
Rosana Meyer United States
Hung-Chi Cheng Taiwan
Jeffrey D. Bjorge Canada
Janiel M. Shields United States
Harihar Basnet United States
Efstathia Giannopoulou Greece
Laura Gualandi Sweden
Tanguy Lechertier United Kingdom
Qinglei Hang relative to Daniel T. Dransfield United States Daniel T. Dransfield's profile →
Citations per field
00.5×9.0×
Daniel T. Dransfield · 1×
Citations per year

Countries citing papers authored by Qinglei Hang

Since Specialization
Citations

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

Fields of papers citing papers by Qinglei Hang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qinglei Hang

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 50
2 3
3 13
4
SLC7A11 expression level dictates differential responses to oxidative stress in cancer cellsbreakdown →
176
5 9
6 10
7 3
8 2
9 15
10 17
11 84
12 4
13 138
14 35
15 34
16 7
17 40
18 52
19 29
20 10

About Qinglei Hang

Qinglei Hang is a scholar working on Immunology and Allergy, Oncology and Immunology, having authored 37 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (12 papers), Glycosylation and Glycoproteins Research (9 papers) and Ubiquitin and proteasome pathways (7 papers). The work is most often cited by research in Immunology and Allergy (128 citations), Immunology (309 citations) and Cell Biology (231 citations). Qinglei Hang has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Sicong Hou, Tomohiko Fukuda, Tomoya Isaji, Jianguo Gu, Li Ma, Sanghun Im, Jishun Lu, Ying Zhou, Wei Gu and Haifeng Huang. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications and Genes & Development.

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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