Geming Lu
Impact in
- Immunology top 5%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immune cells in cancer
- Immune Response and Inflammation
Papers in ⓘ
- Immunology 10
- T-cell and B-cell Immunology 4
- Immune Response and Inflammation 4
- Immune cells in cancer 4
- Immune Cell Function and Interaction 3
- Genetics 11
- Diabetes and associated disorders 9
- Co-authors
- Huabao Xiong (8 shared papers)Miriam Mérad (2 shared papers)Brian D. Brown (1 shared paper)Emmanuel L. Gautier (1 shared paper)Arthur Mortha (1 shared paper)Daigo Hashimoto (1 shared paper)Milena Bogunovic (1 shared paper)Jerry E. Chipuk (1 shared paper)
- Journals
- Diabetes (3 papers)Clinical Cancer Research (1 paper)Cellular and Molecular Immunology (1 paper)Nature Communications (1 paper)Cell Reports Medicine (1 paper)
- Partner nations
- United StatesChinaGeorgia
In The Last Decade
Geming Lu
25 papers receiving 893 citations
Peers
Comparison fields: 5 of 86
- Immunology 499
- Biological Psychiatry 14
- Cancer Research 84
- Neurology 38
- Oncology 124
Countries citing papers authored by Geming Lu
This map shows the geographic impact of Geming 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 Geming Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Geming Lu more than expected).
Fields of papers citing papers by Geming Lu
This network shows the impact of papers produced by Geming 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 Geming Lu. The network helps show where Geming Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Geming 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 325 | |
| 2 | 2017 | 101 | |
| 3 | 2010 | 69 | |
| 4 | 2016 | 55 | |
| 5 | 2014 | 48 | |
| 6 | 2015 | 45 | |
| 7 | 2023 | 25 | |
| 8 | 2016 | 25 | |
| 9 | 2019 | 25 | |
| 10 | 2016 | 23 | |
| 11 | 2012 | 22 | |
| 12 | 2022 | 22 | |
| 13 | 2014 | 18 | |
| 14 | 2020 | 16 | |
| 15 | 2013 | 14 | |
| 16 | 2024 | 13 | |
| 17 | 2016 | 11 | |
| 18 | 2020 | 11 | |
| 19 | 2018 | 8 | |
| 20 | 2024 | 6 |
About Geming Lu
Geming Lu is a scholar working on Immunology, Genetics, Endocrinology, Diabetes and Metabolism, Surgery and Dermatology, having authored 28 papers that have together received 898 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (10 papers), Diabetes and associated disorders (9 papers), Diabetes Management and Research (5 papers), T-cell and B-cell Immunology (4 papers), Immune Response and Inflammation (4 papers), Immune cells in cancer (4 papers), Immune Cell Function and Interaction (3 papers) and Dermatology and Skin Diseases (2 papers). The work is most often cited by research in Immunology (499 citations), Biological Psychiatry (14 citations), Cancer Research (84 citations), Neurology (38 citations) and Oncology (124 citations). Geming Lu has collaborated with scholars based in United States, China and Georgia. Frequent co-authors include Huabao Xiong, Miriam Mérad, Brian D. Brown, Emmanuel L. Gautier, Arthur Mortha, Daigo Hashimoto, Milena Bogunovic, Jerry E. Chipuk, Jennifer Miller and Paul S. Frenette. Their work appears in journals such as Diabetes, Clinical Cancer Research, Cellular and Molecular Immunology, Nature Communications and Cell Reports Medicine.
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.