Weiqin Yao

402 citations
32 papers · 269 · h-index 8

Impact in

  • Hematology top 10%
    • Multiple Myeloma Research and Treatments
    • CAR-T cell therapy research

Papers in

    • Multiple Myeloma Research and Treatments 20
    • Hematopoietic Stem Cell Transplantation 4
    • CAR-T cell therapy research 8

Weiqin Yao

23 papers receiving 265 citations

Peers

Weiqin Yao
Comparison fields: 5 of 42
  • Hematology 69
  • Oncology 153
  • Biotechnology 23
  • Molecular Biology 126
  • Immunology 31
Replace Angela Proctor with:
Angela Proctor United States
Gabriel Javitt Israel
Sishir K. Kamalapuram Australia
Dev Sriranganadane Switzerland
Nicola J. Curtis United Kingdom
Gianni Frascotti Italy
Elham Rismani Iran
Regina Kasprzykowska Poland
Pavel Němec Czechia
A. Robin Temming Netherlands
Weiqin Yao relative to Angela Proctor United States Angela Proctor's profile →
Citations per field
00.5×10×
Angela Proctor · 1×
Citations per year

Countries citing papers authored by Weiqin Yao

Since Specialization
Citations

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

Fields of papers citing papers by Weiqin Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202254
2 201849
3 202046
4 201726
5 202422
6 201917
7 20228
8 20198
9 20226
10 20234
11 20243
12 20253
13
Insecticidal activity of alcohol extracts from Peganum harmala
20043
14 20173
15 20233
16 20253
17 20232
18 20192
19 20242
20 20181

About Weiqin Yao

Weiqin Yao is a scholar working on Hematology, Oncology, Molecular Biology, Immunology and Biotechnology, having authored 32 papers that have together received 269 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (20 papers), CAR-T cell therapy research (8 papers), Hematopoietic Stem Cell Transplantation (4 papers), Cancer Research and Treatments (4 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (3 papers), Nanoplatforms for cancer theranostics (3 papers), Protein Degradation and Inhibitors (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Hematology (69 citations), Oncology (153 citations), Biotechnology (23 citations), Molecular Biology (126 citations) and Immunology (31 citations). Weiqin Yao has collaborated with scholars based in China, Switzerland and Oman. Frequent co-authors include Wenfang Song, Xian‐Zheng Zhang, Song Jin, Lingzhi Yan, Chengcheng Fu, Xiaolan Shi, Diwei Zheng, Liqing Kang, Qi‐Wen Chen and Jin Zhou. Their work appears in journals such as Blood, Frontiers in Oncology, Materials Today, Nano Letters and Frontiers in Microbiology.

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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