Hanbin Lu
Impact in
-
- Cancer-related molecular mechanisms research
-
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
Papers in
-
- Genomics and Chromatin Dynamics 5
- RNA Research and Splicing 3
- Ubiquitin and proteasome pathways 2
- Single-cell and spatial transcriptomics 1
-
- T-cell and B-cell Immunology 3
- Immunotherapy and Immune Responses 2
- interferon and immune responses 1
- Co-authors
- Shannon Lauberth (3 shared papers)Homa Rahnamoun (3 shared papers)Ji Hoon Lee (2 shared papers)Cornelis Murre (6 shared papers)Zhengxi Sun (2 shared papers)Elizabeth A. Komives (1 shared paper)Yina Zhu (2 shared papers)Matthew Denholtz (2 shared papers)
- Journals
- Genes & Development (2 papers)Journal of Biological Chemistry (1 paper)Immunity (1 paper)Nature Structural & Molecular Biology (1 paper)Nature Immunology (1 paper)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Hanbin Lu
11 papers receiving 450 citations
Peers
Comparison fields: 5 of 48
- Cancer Research 89
- Immunology 113
- Molecular Biology 319
- Oncology 91
- Hematology 15
Countries citing papers authored by Hanbin Lu
This map shows the geographic impact of Hanbin 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 Hanbin Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hanbin Lu more than expected).
Fields of papers citing papers by Hanbin Lu
This network shows the impact of papers produced by Hanbin 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 Hanbin Lu. The network helps show where Hanbin Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Hanbin 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
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 126 | |
| 2 | 2017 | 77 | |
| 3 | 2021 | 60 | |
| 4 | 2020 | 51 | |
| 5 | 2018 | 32 | |
| 6 | 2018 | 28 | |
| 7 | 2020 | 27 | |
| 8 | 2018 | 20 | |
| 9 | 2024 | 14 | |
| 10 | 2023 | 13 | |
| 11 | 2023 | 3 |
About Hanbin Lu
Hanbin Lu is a scholar working on Molecular Biology, Immunology, Radiology, Nuclear Medicine and Imaging, Hematology and Genetics, having authored 11 papers that have together received 451 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (5 papers), RNA Research and Splicing (3 papers), T-cell and B-cell Immunology (3 papers), Immunotherapy and Immune Responses (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Ubiquitin and proteasome pathways (2 papers), interferon and immune responses (1 paper) and Single-cell and spatial transcriptomics (1 paper). The work is most often cited by research in Cancer Research (89 citations), Immunology (113 citations), Molecular Biology (319 citations), Oncology (91 citations) and Hematology (15 citations). Hanbin Lu has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Shannon Lauberth, Homa Rahnamoun, Ji Hoon Lee, Cornelis Murre, Zhengxi Sun, Elizabeth A. Komives, Yina Zhu, Matthew Denholtz, Christopher Benner and Christopher K. Glass. Their work appears in journals such as Genes & Development, Journal of Biological Chemistry, Immunity, Nature Structural & Molecular Biology and Nature Immunology.
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.