Ling Lu
- Immunology top 1%
- Immune Cell Function and Interaction 32
- T-cell and B-cell Immunology 22
- Immunotherapy and Immune Responses 12
- Immune Response and Inflammation 6
- Hematology top 2%
- Hematopoietic Stem Cell Transplantation 7
- Transplantation top 5%
- Hepatology top 5%
- Genetics top 5%
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- Organ Transplantation Techniques and Outcomes 8
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- Neuroinflammation and Neurodegeneration Mechanisms 5
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- Adenosine and Purinergic Signaling 4
- Cited by
- ImmunologyHematologyTransplantation
- Journals
- International Immunopharmacology (11 papers)The Journal of Immunology (5 papers)Blood (4 papers)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Ling Lu
62 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Immunology 1.5k
- Hematology 365
- Transplantation 78
- Hepatology 182
- Genetics 205
Countries citing papers authored by Ling Lu
This map shows the geographic impact of Ling 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 Ling Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ling Lu more than expected).
Fields of papers citing papers by Ling Lu
This network shows the impact of papers produced by Ling 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 Ling Lu. The network helps show where Ling Lu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ling 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 | 2025 | 0 | |
| 2 | 2021 | 19 | |
| 3 | 2020 | 27 | |
| 4 | 2019 | 28 | |
| 5 | 2019 | 22 | |
| 6 | 2018 | 168 | |
| 7 | 2018 | 6 | |
| 8 | 2017 | 24 | |
| 9 | 2017 | 1 | |
| 10 | The regulation of immune tolerance by FOXP3breakdown → | 2017 | 413 |
| 11 | 2016 | 10 | |
| 12 | 2016 | 159 | |
| 13 | 2014 | 12 | |
| 14 | 2013 | 64 | |
| 15 | 2011 | 95 | |
| 16 | 2010 | 18 | |
| 17 | 2010 | 126 | |
| 18 | 2009 | 26 | |
| 19 | BCR/ABL confers growth factor independence upon a murine myeloid cell line. | 1992 | 38 |
| 20 | 1988 | 29 |
About Ling Lu
Ling Lu is a scholar working on Immunology, Hematology, Physiology, Neurology and Hepatology, having authored 63 papers that have together received 2.7k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (32 papers), T-cell and B-cell Immunology (22 papers), Immunotherapy and Immune Responses (12 papers), Organ Transplantation Techniques and Outcomes (8 papers), Hematopoietic Stem Cell Transplantation (7 papers), Immune Response and Inflammation (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers) and Adenosine and Purinergic Signaling (4 papers). The work is most often cited by research in Immunology (1.5k citations), Hematology (365 citations), Transplantation (78 citations), Hepatology (182 citations) and Genetics (205 citations). Ling Lu has collaborated with scholars based in China, United States and France. Frequent co-authors include Fan Pan, Joseph Barbi, Song Guo Zheng, Xuehao Wang, Jian Gu, Berish Y. Rubin, H E Broxmeyer, E Platzer, L Juliano and Carl Feit. Their work appears in journals such as International Immunopharmacology, The Journal of Immunology, Blood, Cell Death and Disease and Frontiers in 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.