Daniel Li
About
Daniel Li is a scholar working on Oncology, Electrical and Electronic Engineering and Infectious Diseases.
According to data from OpenAlex, Daniel Li has authored 24 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Oncology, 4 papers in Electrical and Electronic Engineering and 3 papers in Infectious Diseases. Recurrent topics in Daniel Li's work include CAR-T cell therapy research (10 papers), Advancements in Semiconductor Devices and Circuit Design (4 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). Daniel Li is often cited by papers focused on CAR-T cell therapy research (10 papers), Advancements in Semiconductor Devices and Circuit Design (4 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). Daniel Li collaborates with scholars based in United States, Canada and China. Daniel Li's co-authors include David G. Maloney, Stanley R. Riddell, Cameron J. Turtle, Laïla‐Aïcha Hanafi, Kevin A. Hay, Xueyan Chen, Sindhu Cherian, Juliane Gust, Susanna Harju-Baker and Dominic W. Chung and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.
In The Last Decade
Daniel Li
23 papers receiving 3.3k citations
Hit Papers
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Daniel Li United States | 15 | 2.8k | 863 | 814 | 748 | 689 | 24 | 3.3k | ||
| Rebecca Gardner United States | 20 | 2.9k 1.0× | 715 0.8× | 769 0.9× | 683 0.9× | 569 0.8× | 73 | 3.6k | ||
| Bianca Santomasso United States | 19 | 3.2k 1.1× | 653 0.8× | 683 0.8× | 779 1.0× | 465 0.7× | 46 | 3.7k | ||
| Kevin A. Hay Canada | 19 | 3.2k 1.1× | 874 1.0× | 883 1.1× | 761 1.0× | 671 1.0× | 42 | 3.9k | ||
| Susanna Harju-Baker United States | 13 | 1.6k 0.6× | 525 0.6× | 420 0.5× | 432 0.6× | 388 0.6× | 19 | 2.1k | ||
| Brigitte Sénéchal United States | 18 | 2.3k 0.8× | 555 0.6× | 631 0.8× | 813 1.1× | 351 0.5× | 43 | 4.0k | ||
| Daniel J. Landsburg United States | 23 | 2.4k 0.8× | 513 0.6× | 716 0.9× | 722 1.0× | 440 0.6× | 136 | 3.3k | ||
| Jennifer L. Brogdon United States | 18 | 2.1k 0.7× | 426 0.5× | 418 0.5× | 785 1.0× | 297 0.4× | 30 | 3.2k | ||
| Cecilia C.S. Yeung United States | 18 | 1.3k 0.5× | 377 0.4× | 317 0.4× | 392 0.5× | 265 0.4× | 81 | 2.0k | ||
| Judith Feucht Germany | 17 | 1.2k 0.4× | 333 0.4× | 304 0.4× | 719 1.0× | 118 0.2× | 39 | 2.4k | ||
| Dina Schneider United States | 20 | 1.2k 0.4× | 414 0.5× | 372 0.5× | 502 0.7× | 188 0.3× | 67 | 2.0k |
Countries citing papers authored by Daniel Li
Since
Specialization
Citations
This map shows the geographic impact of Daniel 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 Daniel Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Li more than expected).
Fields of papers citing papers by Daniel Li
Since
Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences
This network shows the impact of papers produced by Daniel 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 Daniel Li. The network helps show where Daniel Li may publish in the future.
Co-authorship network of co-authors of Daniel Li
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Li. A scholar is included among the top collaborators of Daniel Li based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel Li. Daniel Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
1.
Le, Hoa, et al.. (2024). Effect of designations of index date in externally controlled trials: an empirical example. 13(1).
2.
Liu, Hang, Zhuoran Zhang, Yifan Gu, et al.. (2023). Development and evaluation of a live birth prediction model for evaluating human blastocysts from a retrospective study. eLife. 12.
3.
Wang, Huanhuan, Julijana Ivanovska, Jingyi Pan, et al.. (2023). L-citrulline attenuates lipopolysaccharide-induced inflammatory lung injury in neonatal rats. Pediatric Research. 94(5). 1684–1695.
4.
Santer, Deanna M., Daniel Li, Yanal Ghosheh, et al.. (2022). Interferon-λ treatment accelerates SARS-CoV-2 clearance despite age-related delays in the induction of T cell immunity. Nature Communications. 13(1). 6992–6992.
5.
Cartron, Guillaume, Christopher P. Fox, Fei‐Fei Liu, et al.. (2022). Matching-adjusted indirect treatment comparison of chimeric antigen receptor T-cell therapies for third-line or later treatment of relapsed or refractory large B-cell lymphoma: lisocabtagene maraleucel versus tisagenlecleucel. Experimental Hematology and Oncology. 11(1). 17–17.
6.
Riddell, James, Andrew F. Brouwer, Heather M. Walline, et al.. (2022). Oral human papillomavirus prevalence, persistence, and risk-factors in HIV-positive and HIV-negative adults. SHILAP Revista de lepidopterología. 13. 200237–200237.
7.
Li, Daniel, A. Gersten, Nicolas F. Schlecht, et al.. (2022). Establishment of a diverse head and neck squamous cancer cell bank using conditional reprogramming culture methods. Journal of Medical Virology. 95(2). e28388–e28388.
8.
Brinc, Davor, Mia J. Biondi, Daniel Li, et al.. (2021). Evaluation of Dried Blood Spot Testing for SARS-CoV-2 Serology Using a Quantitative Commercial Assay. Viruses. 13(6). 962–962.
9.
Keenan, Tiarnán D L, Qingyu Chen, Yifan Peng, et al.. (2020). Deep Learning Automated Detection of Reticular Pseudodrusen from Fundus Autofluorescence Images or Color Fundus Photographs in AREDS2. Ophthalmology. 127(12). 1674–1687.
10.
Harvey, Andrea, Karen E. A. Burns, Eric McArthur, et al.. (2020). Short-and long-term outcomes of sustained low efficiency dialysis vs continuous renal replacement therapy in critically ill patients with acute kidney injury. Journal of Critical Care. 62. 76–81.
11.
Gust, Juliane, Olivia Finney, Daniel Li, et al.. (2019). Glial injury in neurotoxicity after pediatric CD19‐directed chimeric antigen receptor T cell therapy. Annals of Neurology. 86(1). 42–54.
12.
Larson, Ryan, Todd DeVries, Yue Jiang, et al.. (2018). Abstract 960: Defined cell composition and precise control over JCAR017 dose enables identification of relationships between chimeric antigen receptor T cell product attributes, pharmacokinetics, and clinical endpoints in NHL. Cancer Research. 78(13_Supplement). 960–960.
13.
Gust, Juliane, Kevin A. Hay, Laïla‐Aïcha Hanafi, et al.. (2017). Endothelial Activation and Blood–Brain Barrier Disruption in Neurotoxicity after Adoptive Immunotherapy with CD19 CAR-T Cells. Cancer Discovery. 7(12). 1404–1419.
14.
Hill, Joshua A., Daniel Li, Kevin A. Hay, et al.. (2017). Infectious complications of CD19-targeted chimeric antigen receptor–modified T-cell immunotherapy. Blood. 131(1). 121–130.
15.
Turtle, Cameron J., Kevin A. Hay, Juliane Gust, et al.. (2017). Cytokine release syndrome (CRS) and neurotoxicity (NT) after CD19-specific chimeric antigen receptor- (CAR-) modified T cells.. Journal of Clinical Oncology. 35(15_suppl). 3020–3020.
16.
Hill, Joshua A., Daniel Li, Kevin A. Hay, et al.. (2017). Infectious Complications of CD19-Targeted Chimeric Antigen Receptor-Modified T Cell Immunotherapy. Open Forum Infectious Diseases. 4(suppl_1). S698–S699.
17.
Turtle, Cameron J., Kevin A. Hay, Laïla‐Aïcha Hanafi, et al.. (2016). Biomarkers of Cytokine Release Syndrome and Neurotoxicity after CD19 CAR-T Cells and Mitigation of Toxicity By Cell Dose. Blood. 128(22). 1852–1852.
18.
Li, Daniel, Kimberly Wilkins, Andrea M. McCollum, et al.. (2016). Evaluation of the GeneXpert for Human Monkeypox Diagnosis. American Journal of Tropical Medicine and Hygiene. 96(2). 405–410.
19.
Turtle, Cameron J., Laïla‐Aïcha Hanafi, Carolina Berger, et al.. (2016). Immunotherapy of non-Hodgkin’s lymphoma with a defined ratio of CD8 + and CD4 + CD19-specific chimeric antigen receptor–modified T cells. Science Translational Medicine. 8(355). 355ra116–355ra116.
20.
Pal, Ranajit, Lindsey Galmin, Lara Pereira, et al.. (2012). Virological and molecular characterization of a simian human immunodeficiency virus (SHIV) encoding the envelope and reverse transcriptase genes from HIV-1. Virology. 432(1). 173–183.
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
Breakdown of academic impact, for papers by Rebecca Gardner Breakdown of academic impact, for papers by Bianca Santomasso Breakdown of academic impact, for papers by Kevin A. Hay Breakdown of academic impact, for papers by Susanna Harju-Baker Breakdown of academic impact, for papers by Brigitte Sénéchal Breakdown of academic impact, for papers by Daniel J. Landsburg Breakdown of academic impact, for papers by Jennifer L. Brogdon Breakdown of academic impact, for papers by Cecilia C.S. Yeung Breakdown of academic impact, for papers by Judith Feucht Breakdown of academic impact, for papers by Dina Schneider