Daniel Lu
Impact in
-
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Rheumatology top 10%
- Rheumatoid Arthritis Research and Therapies
- Systemic Lupus Erythematosus Research
Papers in
-
- Ubiquitin and proteasome pathways 3
- Single-cell and spatial transcriptomics 3
- Mitochondrial Function and Pathology 3
- Genetics 3
- Chronic Lymphocytic Leukemia Research 3
- Co-authors
- Sarah Kongpachith (4 shared papers)William H. Robinson (4 shared papers)Chia‐Hsin Ju (3 shared papers)Nithya Lingampalli (2 shared papers)Chi-Ming Li (9 shared papers)Lisa K. Blum (2 shared papers)William Harriman (2 shared papers)Tamsin M. Lindström (2 shared papers)
- Journals
- Blood (3 papers)Arthritis & Rheumatology (3 papers)PLoS ONE (2 papers)BMC Genomics (2 papers)Life Science Alliance (1 paper)
- Partner nations
- United StatesChinaItaly
In The Last Decade
Daniel Lu
23 papers receiving 553 citations
Peers
Comparison fields: 5 of 75
- Immunology 178
- Rheumatology 113
- Radiology, Nuclear Medicine and Imaging 115
- Molecular Biology 268
- Genetics 81
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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 84 | |
| 2 | 2018 | 74 | |
| 3 | 2012 | 66 | |
| 4 | 2021 | 53 | |
| 5 | 2019 | 46 | |
| 6 | 2023 | 36 | |
| 7 | 2021 | 36 | |
| 8 | 2014 | 36 | |
| 9 | 2016 | 33 | |
| 10 | 2021 | 18 | |
| 11 | 2022 | 17 | |
| 12 | 2020 | 17 | |
| 13 | 2020 | 14 | |
| 14 | 2019 | 11 | |
| 15 | 1987 | 9 | |
| 16 | 2022 | 4 | |
| 17 | 2022 | 4 | |
| 18 | 2019 | 3 | |
| 19 | 2022 | 2 | |
| 20 | 2021 | 2 |
About Daniel Lu
Daniel Lu is a scholar working on Molecular Biology, Genetics, Pulmonary and Respiratory Medicine, Oncology and Immunology, having authored 24 papers that have together received 568 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (3 papers), Single-cell and spatial transcriptomics (3 papers), Mitochondrial Function and Pathology (3 papers), Chronic Lymphocytic Leukemia Research (3 papers), Metabolism and Genetic Disorders (2 papers), Microtubule and mitosis dynamics (2 papers), Advanced Breast Cancer Therapies (2 papers) and Immune cells in cancer (2 papers). The work is most often cited by research in Immunology (178 citations), Rheumatology (113 citations), Radiology, Nuclear Medicine and Imaging (115 citations), Molecular Biology (268 citations) and Genetics (81 citations). Daniel Lu has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Sarah Kongpachith, William H. Robinson, Chia‐Hsin Ju, Nithya Lingampalli, Chi-Ming Li, Lisa K. Blum, William Harriman, Tamsin M. Lindström, Ellen J. Collarini and Jeremy Sokolove. Their work appears in journals such as Blood, Arthritis & Rheumatology, PLoS ONE, BMC Genomics and Life Science Alliance.
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.