Chunwan Lu
Impact in
- Immunology top 5%
- Immune cells in cancer
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers
Papers in
- Immunology 25
- Immune cells in cancer 18
- Immune Cell Function and Interaction 15
- Immunotherapy and Immune Responses 6
- Oncology 22
- Cancer Immunotherapy and Biomarkers 17
- Cytokine Signaling Pathways and Interactions 4
- Co-authors
- Kebin Liu (36 shared papers)John D. Klement (25 shared papers)Priscilla S. Redd (16 shared papers)Dafeng Yang (20 shared papers)Natasha M. Savage (9 shared papers)Mohammed L. Ibrahim (11 shared papers)Amy V. Paschall (7 shared papers)Dakota B. Poschel (8 shared papers)
- Journals
- The Journal of Immunology (8 papers)Journal for ImmunoTherapy of Cancer (4 papers)Cancers (4 papers)Cell Reports (2 papers)OncoImmunology (2 papers)
- Partner nations
- United StatesChinaGeorgia
In The Last Decade
Chunwan Lu
41 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 99
- Immunology 788
- Oncology 688
- Cancer Research 298
- Rheumatology 141
- Molecular Biology 657
Countries citing papers authored by Chunwan Lu
This map shows the geographic impact of Chunwan 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 Chunwan Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chunwan Lu more than expected).
Fields of papers citing papers by Chunwan Lu
This network shows the impact of papers produced by Chunwan 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 Chunwan Lu. The network helps show where Chunwan Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Chunwan 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 245 | |
| 2 | 2016 | 203 | |
| 3 | 2016 | 188 | |
| 4 | 2021 | 104 | |
| 5 | 2020 | 102 | |
| 6 | 2019 | 97 | |
| 7 | 2023 | 89 | |
| 8 | 2018 | 78 | |
| 9 | 2018 | 77 | |
| 10 | 2016 | 72 | |
| 11 | 2021 | 67 | |
| 12 | 2020 | 64 | |
| 13 | 2018 | 53 | |
| 14 | 2015 | 50 | |
| 15 | 2014 | 50 | |
| 16 | 2019 | 48 | |
| 17 | 2021 | 39 | |
| 18 | 2018 | 38 | |
| 19 | 2020 | 37 | |
| 20 | 2022 | 28 |
About Chunwan Lu
Chunwan Lu is a scholar working on Immunology, Oncology, Molecular Biology, Cancer Research and Rheumatology, having authored 41 papers that have together received 1.9k indexed citations. Recurring topics across this work include Immune cells in cancer (18 papers), Cancer Immunotherapy and Biomarkers (17 papers), Immune Cell Function and Interaction (15 papers), Immunotherapy and Immune Responses (6 papers), Bone and Dental Protein Studies (4 papers), Cytokine Signaling Pathways and Interactions (4 papers), Epigenetics and DNA Methylation (3 papers) and NF-κB Signaling Pathways (3 papers). The work is most often cited by research in Immunology (788 citations), Oncology (688 citations), Cancer Research (298 citations), Rheumatology (141 citations) and Molecular Biology (657 citations). Chunwan Lu has collaborated with scholars based in United States, China and Georgia. Frequent co-authors include Kebin Liu, John D. Klement, Priscilla S. Redd, Dafeng Yang, Natasha M. Savage, Mohammed L. Ibrahim, Amy V. Paschall, Dakota B. Poschel, Huidong Shi and Wei Xiao. Their work appears in journals such as The Journal of Immunology, Journal for ImmunoTherapy of Cancer, Cancers, Cell Reports and OncoImmunology.
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.