Ming Qi

10.1k citations
106 papers · 3.8k indexed · 1 hit paper · h-index 25

Impact in

  • Hematology top 0.5%
    • Multiple Myeloma Research and Treatments
  • Oncology top 2%
    • Peptidase Inhibition and Analysis

Papers in

    • Multiple Myeloma Research and Treatments 68
    • Chronic Lymphocytic Leukemia Research 27

Ming Qi

105 papers receiving 3.7k citations

Hit Papers

Daratumumab, Bortezomib, and Dexamethasone for Multiple Myeloma 2016 · 1.1k citations
1.1k20162026201920222505007501000

Peers

Ming Qi
Comparison fields: 5 of 114
  • Hematology 1.8k
  • Oncology 1.5k
  • Cardiology and Cardiovascular Medicine 1.1k
  • Genetics 369
  • Molecular Biology 1.8k
Replace Frances L. Johnson with:
Frances L. Johnson United States
Maya Koren‐Michowitz Israel
Murat O. Arcasoy United States
Nicholas J. Sarlis United States
Anne Uyttebroeck Belgium
Casey L. O’Connell United States
Peter D. Cole United States
Keith S. Kanik United States
Christopher D. Turner United States
Paolo Milani Italy
Ming Qi relative to Frances L. Johnson United States Frances L. Johnson's profile →
Citations per field
00.5×5.1×
Frances L. Johnson · 1×
Citations per year

Countries citing papers authored by Ming Qi

Since Specialization
Citations

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

Fields of papers citing papers by Ming Qi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20223
2 20215
3 202011
4 20209
5 20206
6 201926
7 20197
8 2018103
9 20178
10 20175
11 20175
12 20173
13 20146
14 2013166
15 201313
16 201254
17 201220
18 201084
19 2007214
20 200590

About Ming Qi

Ming Qi is a scholar working on Hematology, Genetics, Oncology, Pathology and Forensic Medicine and Radiology, Nuclear Medicine and Imaging, having authored 106 papers that have together received 3.8k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (68 papers), Chronic Lymphocytic Leukemia Research (27 papers), Peptidase Inhibition and Analysis (20 papers), Lymphoma Diagnosis and Treatment (17 papers), Monoclonal and Polyclonal Antibodies Research (16 papers), Protein Degradation and Inhibitors (15 papers), Viral-associated cancers and disorders (14 papers) and Cardiac electrophysiology and arrhythmias (14 papers). The work is most often cited by research in Hematology (1.8k citations), Oncology (1.5k citations), Cardiology and Cardiovascular Medicine (1.1k citations), Genetics (369 citations) and Molecular Biology (1.8k citations). Ming Qi has collaborated with scholars based in United States, Spain and Belgium. Frequent co-authors include Xiang Qin, Wojciech Zaręba, Scott McNitt, Jennifer L. Robinson, Arthur J. Moss, Ilan Goldenberg, María‐Victoria Mateos, Tahamtan Ahmadi, Katja Weisel and Ajay K. Nooka. Their work appears in journals such as Blood, Journal of Clinical Oncology, British Journal of Haematology, Clinical Cancer Research and Annals of Hematology.

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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2026