Qi Han

42 papers receiving 609 citations

Qi Han's Hit Papers

Reconfigurable neuromorphic memristor network for ultralow-power smart textile electronics 2022 · 195 citations
1950+1+2Years since publication50100150

Peers

Qi Han
Comparison fields: 5 of 93
  • Hematology 70
  • Cellular and Molecular Neuroscience 89
  • Polymers and Plastics 47
  • Electrical and Electronic Engineering 182
  • Critical Care and Intensive Care Medicine 12
Replace Jennifer May with:
Jennifer May United Kingdom
Qing Zhou China
Joseph A. Hippensteel United States
Soo‐Young Yoon South Korea
Stefan Fennrich Germany
Mi Jung Kim South Korea
Le‐Xin Wang China
Nafees Ahmad Pakistan
Tanja Rezzonico Jost Switzerland
Mengke Liu China
Qi Han relative to Jennifer May United Kingdom Jennifer May's profile →
Citations per field
00.5×5.9×
Jennifer May · 1×
Citations per year

Countries citing papers authored by Qi Han

Since Specialization
Citations

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

Fields of papers citing papers by Qi Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Reconfigurable neuromorphic memristor network for ultralow-power smart textile electronics
Hit paper breakdown →
2022195
2 201850
3 201648
4 201633
5 201922
6 202022
7 201920
8 200616
9 201916
10 201915
11 202114
12 202213
13 202312
14 201912
15 202012
16 202211
17 202010
18 202010
19 20209
20 20238

About Qi Han

Qi Han is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Hematology, Physiology and Genetics, having authored 42 papers that have together received 616 indexed citations. Recurring topics across this work include Axon Guidance and Neuronal Signaling (5 papers), Acute Myeloid Leukemia Research (4 papers), Cardiac electrophysiology and arrhythmias (2 papers), Immune cells in cancer (2 papers), Angiogenesis and VEGF in Cancer (2 papers), Multiple Myeloma Research and Treatments (2 papers), Ferroptosis and cancer prognosis (2 papers) and Pharmacological Effects of Natural Compounds (2 papers). The work is most often cited by research in Hematology (70 citations), Cellular and Molecular Neuroscience (89 citations), Polymers and Plastics (47 citations), Electrical and Electronic Engineering (182 citations) and Critical Care and Intensive Care Medicine (12 citations). Qi Han has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Zheng Ge, Qingqing Sun, Tianyu Wang, Jialin Meng, Xufeng Zhou, Yue Liu, Qingxuan Li, David Wei Zhang, Zhenhai Li and Lin Chen. Their work appears in journals such as Journal of Molecular Histology, Journal of Alzheimer s Disease, Biochemical and Biophysical Research Communications, ACS Applied Materials & Interfaces and Nano Letters.

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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