Yuning Lu
Impact in
- Immunology and Allergy top 5%
- Cell Adhesion Molecules Research
- Immunology top 5%
- T-cell and B-cell Immunology
- Atherosclerosis and Cardiovascular Diseases
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
Papers in
- Immunology 14
- T-cell and B-cell Immunology 9
- Immune Cell Function and Interaction 7
- Immunotherapy and Immune Responses 4
- Atherosclerosis and Cardiovascular Diseases 3
- Co-authors
- Christopher E. Rudd (8 shared papers)Xin Smith (3 shared papers)Helga Schneider (2 shared papers)Anthony D. Whetton (3 shared papers)Andrew Pierce (3 shared papers)Jiou Wang (3 shared papers)Monika Raab (2 shared papers)Klaus Strebhardt (2 shared papers)
- Journals
- Journal of Clinical Investigation (3 papers)Blood (2 papers)Immunity (2 papers)Frontiers in Neurology (2 papers)Immunology Letters (2 papers)
- Partner nations
- United KingdomUnited StatesChina
In The Last Decade
Yuning Lu
37 papers receiving 976 citations
Peers
Comparison fields: 5 of 91
- Immunology and Allergy 120
- Immunology 404
- Neurology 96
- Aging 11
- Hematology 63
Countries citing papers authored by Yuning Lu
This map shows the geographic impact of Yuning 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 Yuning Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuning Lu more than expected).
Fields of papers citing papers by Yuning Lu
This network shows the impact of papers produced by Yuning 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 Yuning Lu. The network helps show where Yuning Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuning 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 111 | |
| 2 | 2010 | 92 | |
| 3 | 2018 | 63 | |
| 4 | 2003 | 57 | |
| 5 | 2021 | 49 | |
| 6 | 2007 | 48 | |
| 7 | 2021 | 47 | |
| 8 | 2020 | 41 | |
| 9 | 2019 | 39 | |
| 10 | 2012 | 37 | |
| 11 | 2004 | 37 | |
| 12 | 2021 | 36 | |
| 13 | 2020 | 35 | |
| 14 | 2013 | 32 | |
| 15 | 2017 | 29 | |
| 16 | 2014 | 29 | |
| 17 | 2021 | 27 | |
| 18 | 2013 | 24 | |
| 19 | 2014 | 24 | |
| 20 | 2016 | 19 |
About Yuning Lu
Yuning Lu is a scholar working on Immunology, Molecular Biology, Neurology, Cell Biology and Immunology and Allergy, having authored 39 papers that have together received 985 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (9 papers), Immune Cell Function and Interaction (7 papers), Cell Adhesion Molecules Research (5 papers), Amyotrophic Lateral Sclerosis Research (4 papers), Immunotherapy and Immune Responses (4 papers), Endoplasmic Reticulum Stress and Disease (4 papers), Parkinson's Disease Mechanisms and Treatments (4 papers) and Atherosclerosis and Cardiovascular Diseases (3 papers). The work is most often cited by research in Immunology and Allergy (120 citations), Immunology (404 citations), Neurology (96 citations), Aging (11 citations) and Hematology (63 citations). Yuning Lu has collaborated with scholars based in United Kingdom, United States and China. Frequent co-authors include Christopher E. Rudd, Xin Smith, Helga Schneider, Anthony D. Whetton, Andrew Pierce, Jiou Wang, Monika Raab, Klaus Strebhardt, Ziad Mallat and Goran Periz. Their work appears in journals such as Journal of Clinical Investigation, Blood, Immunity, Frontiers in Neurology and Immunology Letters.
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.