Shengjun Lu
Impact in
- Parasitology top 5%
- Parasites and Host Interactions
- Immunology top 10%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
Papers in
- Immunology 12
- Immune Cell Function and Interaction 9
- Immunotherapy and Immune Responses 5
- T-cell and B-cell Immunology 5
- Reproductive System and Pregnancy 2
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- Parasites and Host Interactions 5
- Co-authors
- Jennifer D. Wu (3 shared papers)Xuanjun Wang (2 shared papers)Fei Guan (5 shared papers)Jiahui Lei (5 shared papers)Wenqi Liu (4 shared papers)Zihai Li (2 shared papers)Yonglong Li (3 shared papers)Celestia S. Higano (1 shared paper)
- Journals
- Clinical Cancer Research (1 paper)Journal of Hematology & Oncology (1 paper)Molecular Immunology (1 paper)Journal of Leukocyte Biology (1 paper)Parasite Immunology (1 paper)
- Partner nations
- ChinaUnited StatesSouth Africa
In The Last Decade
Shengjun Lu
17 papers receiving 382 citations
Peers
Comparison fields: 5 of 55
- Parasitology 109
- Immunology 217
- Oncology 127
- Small Animals 25
- Hepatology 17
Countries citing papers authored by Shengjun Lu
This map shows the geographic impact of Shengjun 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 Shengjun Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shengjun Lu more than expected).
Fields of papers citing papers by Shengjun Lu
This network shows the impact of papers produced by Shengjun 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 Shengjun Lu. The network helps show where Shengjun Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Shengjun 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 | 2013 | 99 | |
| 2 | 2015 | 50 | |
| 3 | 2010 | 44 | |
| 4 | 2015 | 39 | |
| 5 | 2020 | 30 | |
| 6 | 2011 | 29 | |
| 7 | 2014 | 23 | |
| 8 | 2017 | 21 | |
| 9 | 2009 | 19 | |
| 10 | 2010 | 7 | |
| 11 | 2008 | 6 | |
| 12 | 2020 | 6 | |
| 13 | 2007 | 4 | |
| 14 | 2022 | 4 | |
| 15 | 2019 | 3 | |
| 16 | 2006 | 3 | |
| 17 | Binding of divalent H-2Kd/IgG2aFc fusion protein to murine macrophage via Fc-FcR interaction. | 2007 | 2 |
| 18 | 2008 | 0 |
About Shengjun Lu
Shengjun Lu is a scholar working on Immunology, Parasitology, Oncology, Public Health, Environmental and Occupational Health and Surgery, having authored 18 papers that have together received 389 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (9 papers), Parasites and Host Interactions (5 papers), Immunotherapy and Immune Responses (5 papers), T-cell and B-cell Immunology (5 papers), CAR-T cell therapy research (3 papers), Reproductive System and Pregnancy (2 papers), Research on Leishmaniasis Studies (2 papers) and Cytomegalovirus and herpesvirus research (1 paper). The work is most often cited by research in Parasitology (109 citations), Immunology (217 citations), Oncology (127 citations), Small Animals (25 citations) and Hepatology (17 citations). Shengjun Lu has collaborated with scholars based in China, United States and South Africa. Frequent co-authors include Jennifer D. Wu, Xuanjun Wang, Fei Guan, Jiahui Lei, Wenqi Liu, Zihai Li, Yonglong Li, Celestia S. Higano, Stephanie T. Page and Norman M. Greenberg. Their work appears in journals such as Clinical Cancer Research, Journal of Hematology & Oncology, Molecular Immunology, Journal of Leukocyte Biology and Parasite 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.