Daniel Lu
Impact in
-
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Rheumatology top 10%
- Systemic Lupus Erythematosus Research
- Rheumatoid Arthritis Research and Therapies
Papers in ⓘ
- Genetics 4
- Chronic Lymphocytic Leukemia Research 4
- Co-authors
- William H. Robinson (4 shared papers)Sarah Kongpachith (4 shared papers)Chia‐Hsin Ju (3 shared papers)Nithya Lingampalli (2 shared papers)Chi-Ming Li (8 shared papers)Lisa K. Blum (2 shared papers)Jeremy Sokolove (2 shared papers)Tamsin M. Lindström (2 shared papers)
- Journals
- Arthritis & Rheumatology (3 papers)Blood (3 papers)BMC Genomics (2 papers)PLoS ONE (2 papers)Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids (1 paper)
- Partner nations
- United StatesChinaItaly
In The Last Decade
Daniel Lu
22 papers receiving 517 citations
Peers
Comparison fields: 5 of 75
- Immunology 194
- Rheumatology 118
- Radiology, Nuclear Medicine and Imaging 129
- Molecular Biology 254
- Immunology and Allergy 17
Countries citing papers authored by Daniel Lu
This map shows the geographic impact of Daniel Lu'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 Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Lu more than expected).
Fields of papers citing papers by Daniel Lu
This network shows the impact of papers produced by Daniel Lu. 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 Lu. The network helps show where Daniel Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Lu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 81 | |
| 2 | 2018 | 72 | |
| 3 | 2012 | 57 | |
| 4 | 2021 | 52 | |
| 5 | 2019 | 44 | |
| 6 | 2023 | 34 | |
| 7 | 2014 | 34 | |
| 8 | 2021 | 31 | |
| 9 | 2016 | 30 | |
| 10 | 2021 | 18 | |
| 11 | 2020 | 16 | |
| 12 | 2022 | 16 | |
| 13 | 2020 | 14 | |
| 14 | 2019 | 9 | |
| 15 | 1987 | 6 | |
| 16 | 2022 | 4 | |
| 17 | 2022 | 3 | |
| 18 | 2019 | 2 | |
| 19 | 2021 | 2 | |
| 20 | 2022 | 2 |
About Daniel Lu
Daniel Lu is a scholar working on Genetics, Clinical Biochemistry, Immunology, Developmental Neuroscience and Molecular Biology, having authored 23 papers that have together received 529 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (4 papers), T-cell and B-cell Immunology (4 papers), Single-cell and spatial transcriptomics (3 papers), Immune Cell Function and Interaction (3 papers), Systemic Lupus Erythematosus Research (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Mitochondrial Function and Pathology (3 papers) and Ubiquitin and proteasome pathways (3 papers). The work is most often cited by research in Immunology (194 citations), Rheumatology (118 citations), Radiology, Nuclear Medicine and Imaging (129 citations), Molecular Biology (254 citations) and Immunology and Allergy (17 citations). Daniel Lu has collaborated with scholars based in United States, China and Italy. Frequent co-authors include William H. Robinson, Sarah Kongpachith, Chia‐Hsin Ju, Nithya Lingampalli, Chi-Ming Li, Lisa K. Blum, Jeremy Sokolove, Tamsin M. Lindström, William Harriman and Songli Wang. Their work appears in journals such as Arthritis & Rheumatology, Blood, BMC Genomics, PLoS ONE and Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids.
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.