D. Li

16 papers receiving 1.1k citations

D. Li's Hit Papers

Intent-to-treat leukemia remission by CD19 CAR T cells of defined formulation and dose in children and young adults 2017 · 833 citations
8330+3+6Years since publication250500750

Peers

D. Li
Comparison fields: 5 of 40
  • Oncology 1.0k
  • Genetics 285
  • Immunology 182
  • Hematology 60
  • Biomedical Engineering 249
Replace Hannah Brakke with:
Hannah Brakke United States
Corinne Summers United States
Colleen Annesley United States
Katherine D. Cummins United States
Kathleen Gallagher United States
Brenna Hansen United States
Jingyi Xiang United States
Yueh-wei Shen United States
Silke Frenz Germany
Caroline Arber Switzerland
D. Li relative to Hannah Brakke United States Hannah Brakke's profile →
Citations per field
00.5×1.5×
Hannah Brakke · 1×
Citations per year

Countries citing papers authored by D. Li

Since Specialization
Citations

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

Fields of papers citing papers by D. Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1
Intent-to-treat leukemia remission by CD19 CAR T cells of defined formulation and dose in children and young adults
Hit paper breakdown →
2017833
2 201990
3 201757
4 201633
5 202224
6 201824
7 201714
8 201811
9 201710
10 202310
11 20218
12 20188
13 20208
14 20216
15 20212
16 20102
17
[Domperidone and hyperprolactinemia].
19980

About D. Li

D. Li is a scholar working on Oncology, Atomic and Molecular Physics, and Optics, Immunology, Physiology and Surgery, having authored 17 papers that have together received 1.1k indexed citations. Recurring topics across this work include CAR-T cell therapy research (10 papers), Biosimilars and Bioanalytical Methods (6 papers), Atomic and Subatomic Physics Research (5 papers), Biomedical Ethics and Regulation (2 papers), Nanocluster Synthesis and Applications (1 paper), Viral Infectious Diseases and Gene Expression in Insects (1 paper), Nanowire Synthesis and Applications (1 paper) and Advanced Chemical Physics Studies (1 paper). The work is most often cited by research in Oncology (1.0k citations), Genetics (285 citations), Immunology (182 citations), Hematology (60 citations) and Biomedical Engineering (249 citations). D. Li has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Christopher Brown, Kasey J. Leger, Marie Bleakley, Colleen Annesley, Julie R. Park, Michael C. Jensen, Olivia Finney, Corinne Summers, Rebecca Gardner and Assaf P. Oron. Their work appears in journals such as Blood, Magnetic Resonance in Medicine, Journal of Clinical Oncology, Applied Surface Science and Journal of Magnetic Resonance Imaging.

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.

Explore authors with similar magnitude of impact