Qiuping He

896 citations
21 papers · 656 · h-index 11

Impact in

  • Cell Biology top 10%
    • Zebrafish Biomedical Research Applications
    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation

Papers in

Qiuping He

20 papers receiving 652 citations

Peers

Qiuping He
Comparison fields: 5 of 66
  • Cell Biology 188
  • Cancer Research 155
  • Immunology 188
  • Hematology 83
  • Molecular Biology 390
Replace Peter J. Noy with:
Peter J. Noy United Kingdom
Parham Solaimani Kartalaei Netherlands
Ken‐ichi Minehata Japan
Samanta A. Mariani United States
Andrew S. Gilder United States
Gwendolyn M. Mahon United States
Annika N. Alexopoulou United Kingdom
Ute Ipe Germany
Volker Rönicke Germany
Qiuping He relative to Peter J. Noy United Kingdom Peter J. Noy's profile →
Citations per field
00.5×2.8×
Peter J. Noy · 1×
Citations per year

Countries citing papers authored by Qiuping He

Since Specialization
Citations

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

Fields of papers citing papers by Qiuping He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014142
2 201587
3 201883
4 201370
5 202449
6 201441
7 201635
8 202034
9 201530
10 202226
11 202021
12 201510
13 20158
14 20197
15 20254
16 20173
17 20252
18 20222
19 20231
20 20161

About Qiuping He

Qiuping He is a scholar working on Molecular Biology, Cell Biology, Immunology, Cancer Research and Hematology, having authored 21 papers that have together received 656 indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (8 papers), Hematopoietic Stem Cell Transplantation (4 papers), Ferroptosis and cancer prognosis (2 papers), T-cell and B-cell Immunology (2 papers), Cancer, Lipids, and Metabolism (2 papers), Immune Cell Function and Interaction (2 papers), Epigenetics and DNA Methylation (2 papers) and MicroRNA in disease regulation (2 papers). The work is most often cited by research in Cell Biology (188 citations), Cancer Research (155 citations), Immunology (188 citations), Hematology (83 citations) and Molecular Biology (390 citations). Qiuping He has collaborated with scholars based in China and United States. Frequent co-authors include Feng Liu, Chunxia Zhang, Dongyuan Ma, Panpan Zhang, Lu Wang, Junhua Lv, Bing Liu, Ya Gao, Wei Li and Sifeng Wang. Their work appears in journals such as Cell Research, Experimental Hematology, Developmental Cell, Signal Transduction and Targeted Therapy and Journal of Biomedical Science.

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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