Geming Lu
Impact in
- Immunology top 5%
- Immunotherapy and Immune Responses
- Immune cells in cancer
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immune Response and Inflammation
- Hematology top 10%
- Multiple Myeloma Research and Treatments
Papers in
- Immunology 12
- Immune Response and Inflammation 6
- Immune cells in cancer 4
- T-cell and B-cell Immunology 4
- Immunotherapy and Immune Responses 3
- Psoriasis: Treatment and Pathogenesis 3
- Surgery 13
- Pancreatic function and diabetes 11
- Co-authors
- Huabao Xiong (8 shared papers)Miriam Mérad (2 shared papers)Melanie Greter (1 shared paper)Paul S. Frenette (1 shared paper)Arthur Mortha (1 shared paper)Brian D. Brown (1 shared paper)Jerry E. Chipuk (1 shared paper)Andrew T. Chow (1 shared paper)
- Journals
- Diabetes (4 papers)Oncotarget (2 papers)Nature Communications (2 papers)Journal of Psychopharmacology (1 paper)Gene Therapy (1 paper)
- Partner nations
- United StatesChinaLuxembourg
In The Last Decade
Geming Lu
32 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 94
- Immunology 711
- Hematology 89
- Cancer Research 108
- Neurology 63
- Oncology 186
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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 354 | |
| 2 | 2015 | 193 | |
| 3 | 2017 | 114 | |
| 4 | 2013 | 112 | |
| 5 | 2017 | 105 | |
| 6 | 2010 | 76 | |
| 7 | 2016 | 57 | |
| 8 | 2014 | 52 | |
| 9 | 2015 | 50 | |
| 10 | 2023 | 33 | |
| 11 | 2018 | 31 | |
| 12 | 2016 | 27 | |
| 13 | 2019 | 27 | |
| 14 | 2016 | 25 | |
| 15 | 2022 | 23 | |
| 16 | 2012 | 23 | |
| 17 | 2024 | 20 | |
| 18 | 2020 | 19 | |
| 19 | 2014 | 18 | |
| 20 | 2013 | 16 |
About Geming Lu
Geming Lu is a scholar working on Immunology, Surgery, Genetics, Endocrinology, Diabetes and Metabolism and Cancer Research, having authored 34 papers that have together received 1.5k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (11 papers), Diabetes and associated disorders (7 papers), Immune Response and Inflammation (6 papers), Diabetes Management and Research (5 papers), Immune cells in cancer (4 papers), T-cell and B-cell Immunology (4 papers), Immunotherapy and Immune Responses (3 papers) and Psoriasis: Treatment and Pathogenesis (3 papers). The work is most often cited by research in Immunology (711 citations), Hematology (89 citations), Cancer Research (108 citations), Neurology (63 citations) and Oncology (186 citations). Geming Lu has collaborated with scholars based in United States, China and Luxembourg. Frequent co-authors include Huabao Xiong, Miriam Mérad, Melanie Greter, Paul S. Frenette, Arthur Mortha, Brian D. Brown, Jerry E. Chipuk, Andrew T. Chow, Julie Helft and Milena Bogunovic. Their work appears in journals such as Diabetes, Oncotarget, Nature Communications, Journal of Psychopharmacology and Gene Therapy.
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.