Sumin Lu
Impact in
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
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- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
Papers in
- Genetics 4
- Chronic Lymphocytic Leukemia Research 4
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- Receptor Mechanisms and Signaling 5
- Protein Kinase Regulation and GTPase Signaling 2
- Co-authors
- Nevin A. Lambert (7 shared papers)Wonjo Jang (4 shared papers)John Kenneth Cowell (7 shared papers)Asuka Inoue (3 shared papers)Tianxiang Hu (6 shared papers)Raghavan Pillai Raju (3 shared papers)Xin Xu (1 shared paper)Guangyu Wu (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Cancer Research (2 papers)Nature Immunology (1 paper)Cell Death and Disease (1 paper)Cytokine (1 paper)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Sumin Lu
22 papers receiving 611 citations
Peers
Comparison fields: 5 of 59
- Oncology 203
- Immunology 104
- Critical Care and Intensive Care Medicine 17
- Molecular Biology 203
- Geriatrics and Gerontology 11
Countries citing papers authored by Sumin Lu
This map shows the geographic impact of Sumin 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 Sumin Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sumin Lu more than expected).
Fields of papers citing papers by Sumin Lu
This network shows the impact of papers produced by Sumin 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 Sumin Lu. The network helps show where Sumin Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Sumin 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 279 | |
| 2 | 2020 | 43 | |
| 3 | 2023 | 37 | |
| 4 | 2021 | 34 | |
| 5 | 2018 | 31 | |
| 6 | 2017 | 23 | |
| 7 | 2019 | 18 | |
| 8 | 2019 | 16 | |
| 9 | 2016 | 14 | |
| 10 | 2023 | 14 | |
| 11 | 2015 | 13 | |
| 12 | 2012 | 12 | |
| 13 | 2019 | 12 | |
| 14 | 2019 | 12 | |
| 15 | 2018 | 10 | |
| 16 | 2020 | 10 | |
| 17 | 2009 | 9 | |
| 18 | 2022 | 9 | |
| 19 | 2019 | 8 | |
| 20 | 2024 | 8 |
About Sumin Lu
Sumin Lu is a scholar working on Genetics, Molecular Biology, Critical Care and Intensive Care Medicine, Geriatrics and Gerontology and Hematology, having authored 24 papers that have together received 624 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (5 papers), Chronic Lymphocytic Leukemia Research (4 papers), Acute Myeloid Leukemia Research (3 papers), Trauma, Hemostasis, Coagulopathy, Resuscitation (3 papers), Cellular transport and secretion (2 papers), MicroRNA in disease regulation (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers) and Sirtuins and Resveratrol in Medicine (2 papers). The work is most often cited by research in Oncology (203 citations), Immunology (104 citations), Critical Care and Intensive Care Medicine (17 citations), Molecular Biology (203 citations) and Geriatrics and Gerontology (11 citations). Sumin Lu has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Nevin A. Lambert, Wonjo Jang, John Kenneth Cowell, Asuka Inoue, Tianxiang Hu, Raghavan Pillai Raju, Xin Xu, Guangyu Wu, Graydon B. Gonsalvez and Chang-Sheng Chang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Cancer Research, Nature Immunology, Cell Death and Disease and Cytokine.
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.