Kunming Qi

1.6k citations
61 papers · 667 · h-index 14

Impact in

  • Hematology top 5%
    • Hematopoietic Stem Cell Transplantation
    • Platelet Disorders and Treatments
  • Oncology top 10%
    • CAR-T cell therapy research

Papers in

    • Hematopoietic Stem Cell Transplantation 10
    • Multiple Myeloma Research and Treatments 8
    • Platelet Disorders and Treatments 7
    • Acute Myeloid Leukemia Research 5
    • CAR-T cell therapy research 16

Kunming Qi

49 papers receiving 661 citations

Peers

Kunming Qi
Comparison fields: 5 of 71
  • Hematology 153
  • Oncology 364
  • Immunology 198
  • Cancer Research 50
  • Genetics 92
Replace Weijie Cao with:
Weijie Cao China
Xinsheng Xie China
Wanhong Zhao China
Luna Minute Spain
Jason H. Kurzer United States
Erin E. Childs United States
Qinan Yin China
Andrew Bantly United States
Liyan Li China
Shweta Dubey India
Kunming Qi relative to Weijie Cao China Weijie Cao's profile →
Citations per field
00.5×1.5×2.2×
Weijie Cao · 1×
Citations per year

Countries citing papers authored by Kunming Qi

Since Specialization
Citations

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

Fields of papers citing papers by Kunming Qi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018126
2 202177
3 201966
4
Treatment with the C-C chemokine receptor type 5 (CCR5)-inhibitor maraviroc suppresses growth and induces apoptosis of acute lymphoblastic leukemia cells.
201730
5 202126
6 202023
7 201822
8 201521
9 201520
10 202019
11 201619
12 201618
13 201814
14 202013
15 201412
16 201812
17 201612
18 201511
19 201511
20 202010

About Kunming Qi

Kunming Qi is a scholar working on Hematology, Oncology, Molecular Biology, Genetics and Immunology, having authored 61 papers that have together received 667 indexed citations. Recurring topics across this work include CAR-T cell therapy research (16 papers), Hematopoietic Stem Cell Transplantation (10 papers), Multiple Myeloma Research and Treatments (8 papers), Platelet Disorders and Treatments (7 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (6 papers), Acute Myeloid Leukemia Research (5 papers), Chronic Lymphocytic Leukemia Research (5 papers) and Virus-based gene therapy research (5 papers). The work is most often cited by research in Hematology (153 citations), Oncology (364 citations), Immunology (198 citations), Cancer Research (50 citations) and Genetics (92 citations). Kunming Qi has collaborated with scholars based in China, United States and Panama. Frequent co-authors include Kailin Xu, Jianlin Qiao, Lingyu Zeng, Hai Cheng, Jiang Cao, Junnian Zheng, Zhenyu Li, Wei Sang, Gang Wang and Bin Pan. Their work appears in journals such as Frontiers in Immunology, Leukemia Research, Biology of Blood and Marrow Transplantation, International Immunopharmacology and Hematological Oncology.

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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