Junyuan Qi

1.4k citations
65 papers · 848 · h-index 15

Impact in

  • Hematology top 2%
    • Multiple Myeloma Research and Treatments
    • Acute Myeloid Leukemia Research
  • Genetics top 5%
    • Chronic Lymphocytic Leukemia Research

Papers in

    • Chronic Lymphocytic Leukemia Research 29
    • Peptidase Inhibition and Analysis 7
    • Viral-associated cancers and disorders 6

Junyuan Qi

55 papers receiving 834 citations

Peers

Junyuan Qi
Comparison fields: 5 of 60
  • Hematology 488
  • Genetics 177
  • Oncology 294
  • Immunology 200
  • Pathology and Forensic Medicine 127
Replace Nicholas Burwick with:
Nicholas Burwick United States
FG Behm United States
Jeroen G. te Marvelde Netherlands
Brian Parkin United States
James D. Cavenagh United Kingdom
Tillmann Taube Germany
Yuji Shimura Japan
Mineo Kurokawa Japan
Edward Allan R. Sison United States
Danielle Pineau France
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Citations per field
00.5×1.5×2.3×
Nicholas Burwick · 1×
Citations per year

Countries citing papers authored by Junyuan Qi

Since Specialization
Citations

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

Fields of papers citing papers by Junyuan Qi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013181
2 200294
3 201460
4 200358
5 201552
6 201450
7 202232
8 201232
9 202031
10 201130
11 201526
12 200921
13 202220
14 201314
15 202114
16 201311
17 201211
18 20149
19 20108
20 20107

About Junyuan Qi

Junyuan Qi is a scholar working on Genetics, Oncology, Hematology, Molecular Biology and Pathology and Forensic Medicine, having authored 65 papers that have together received 848 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (29 papers), Lymphoma Diagnosis and Treatment (21 papers), Multiple Myeloma Research and Treatments (17 papers), Monoclonal and Polyclonal Antibodies Research (10 papers), Protein Degradation and Inhibitors (7 papers), Peptidase Inhibition and Analysis (7 papers), Chronic Myeloid Leukemia Treatments (7 papers) and Viral-associated cancers and disorders (6 papers). The work is most often cited by research in Hematology (488 citations), Genetics (177 citations), Oncology (294 citations), Immunology (200 citations) and Pathology and Forensic Medicine (127 citations). Junyuan Qi has collaborated with scholars based in China, United States and France. Frequent co-authors include Dehui Zou, Lugui Qiu, Florence Smadja‐Joffe, Gang An, Shuhua Yi, C Jasmin, Zengjun Li, Christine Chomienne, Lugui Qiu and Michèle Allouche. Their work appears in journals such as Blood, Journal of Clinical Oncology, Leukemia Research, Annals of Hematology and Acta Haematologica.

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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