Ping Qiang

550 citations
28 papers · 371 · h-index 9

Impact in

    • Cancer-related molecular mechanisms research
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research

Papers in

    • Hematopoietic Stem Cell Transplantation 10
    • Acute Myeloid Leukemia Research 9
    • CAR-T cell therapy research 4
    • Polyomavirus and related diseases 3

Ping Qiang

25 papers receiving 367 citations

Peers

Ping Qiang
Comparison fields: 5 of 46
  • Cancer Research 95
  • Hematology 52
  • Oncology 108
  • Molecular Biology 230
  • Immunology 42
Replace Qi-En Wang with:
Qi-En Wang United States
Yee Peng Phoon United States
Jéssica González Spain
Juan Gu China
Hairong Lyu China
Leutz Buon United States
Simona Barbato Italy
Nerea Matamala Spain
Esten N. Vandsemb Norway
Ping Qiang relative to Qi-En Wang United States Qi-En Wang's profile →
Citations per field
00.5×1.5×1.8×
Qi-En Wang · 1×
Citations per year

Countries citing papers authored by Ping Qiang

Since Specialization
Citations

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

Fields of papers citing papers by Ping Qiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021152
2 202043
3 201942
4 201927
5 201415
6 202014
7 202014
8 201712
9 20218
10 20218
11 20216
12 20215
13 20224
14 20234
15 20154
16 20232
17 20232
18 20142
19 20241
20 20201

About Ping Qiang

Ping Qiang is a scholar working on Hematology, Oncology, Molecular Biology, Immunology and Genetics, having authored 28 papers that have together received 371 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (10 papers), Acute Myeloid Leukemia Research (9 papers), Immune Cell Function and Interaction (4 papers), CAR-T cell therapy research (4 papers), Acute Lymphoblastic Leukemia research (3 papers), Polyomavirus and related diseases (3 papers), Mesenchymal stem cell research (3 papers) and Protein Degradation and Inhibitors (2 papers). The work is most often cited by research in Cancer Research (95 citations), Hematology (52 citations), Oncology (108 citations), Molecular Biology (230 citations) and Immunology (42 citations). Ping Qiang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Jinyan Wang, Lijuan Chen, Xiaoyu Zhu, Guangyu Sun, Zimin Sun, Liangquan Geng, Xuhan Zhang, Lei Xue, Xingbing Wang and Hui Xu. Their work appears in journals such as Stem Cell Research & Therapy, Blood, OncoTargets and Therapy, Transplantation and Cellular Therapy and Biology Direct.

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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