Runqing Lu
Impact in
- Geriatrics and Gerontology top 1%
- Sirtuins and Resveratrol in Medicine
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- interferon and immune responses
- Immune Response and Inflammation
Papers in
- Immunology 17
- Immune Cell Function and Interaction 7
- T-cell and B-cell Immunology 6
- interferon and immune responses 5
- Immunodeficiency and Autoimmune Disorders 4
- Co-authors
- Ginette Serrero (5 shared papers)Paula M. Pitha (4 shared papers)Shibin Ma (9 shared papers)Long Trinh (5 shared papers)Simanta Pathak (5 shared papers)Kay L. Medina (1 shared paper)D W Lancki (1 shared paper)Harinder Singh (1 shared paper)
- Journals
- Blood (4 papers)Journal of Biological Chemistry (4 papers)Proceedings of the National Academy of Sciences (3 papers)British Journal of Haematology (2 papers)The Journal of Immunology (2 papers)
- Partner nations
- United StatesChinaIsrael
In The Last Decade
Runqing Lu
36 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 100
- Geriatrics and Gerontology 193
- Immunology 790
- Genetics 192
- Hematology 187
- Oncology 407
Countries citing papers authored by Runqing Lu
This map shows the geographic impact of Runqing 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 Runqing Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Runqing Lu more than expected).
Fields of papers citing papers by Runqing Lu
This network shows the impact of papers produced by Runqing 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 Runqing Lu. The network helps show where Runqing Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Runqing 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 300 | |
| 2 | 2003 | 210 | |
| 3 | 2000 | 141 | |
| 4 | 2000 | 127 | |
| 5 | 2000 | 122 | |
| 6 | 2010 | 106 | |
| 7 | 2008 | 91 | |
| 8 | 2007 | 87 | |
| 9 | 2010 | 84 | |
| 10 | 2001 | 80 | |
| 11 | 2006 | 78 | |
| 12 | 2002 | 55 | |
| 13 | 2014 | 52 | |
| 14 | 1999 | 48 | |
| 15 | 2016 | 47 | |
| 16 | 2016 | 41 | |
| 17 | 2011 | 39 | |
| 18 | 2014 | 36 | |
| 19 | 2001 | 36 | |
| 20 | 2013 | 35 |
About Runqing Lu
Runqing Lu is a scholar working on Immunology, Molecular Biology, Genetics, Oncology and Genetics, having authored 36 papers that have together received 2.0k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (7 papers), T-cell and B-cell Immunology (6 papers), Chronic Lymphocytic Leukemia Research (6 papers), interferon and immune responses (5 papers), Acute Lymphoblastic Leukemia research (4 papers), Immunodeficiency and Autoimmune Disorders (4 papers), Acute Myeloid Leukemia Research (4 papers) and Cytokine Signaling Pathways and Interactions (3 papers). The work is most often cited by research in Geriatrics and Gerontology (193 citations), Immunology (790 citations), Genetics (192 citations), Hematology (187 citations) and Oncology (407 citations). Runqing Lu has collaborated with scholars based in United States, China and Israel. Frequent co-authors include Ginette Serrero, Paula M. Pitha, Shibin Ma, Long Trinh, Simanta Pathak, Kay L. Medina, D W Lancki, Harinder Singh, Vipul Shukla and Wei-Chun Au. Their work appears in journals such as Blood, Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, British Journal of Haematology and The Journal of 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.