Gege Gui
Impact in
- Hematology top 10%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
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- Immune cells in cancer
- Immune Cell Function and Interaction
Papers in
-
- Single-cell and spatial transcriptomics 4
- Histone Deacetylase Inhibitors Research 3
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- Acute Myeloid Leukemia Research 8
- Hematopoietic Stem Cell Transplantation 3
- Chronic Myeloid Leukemia Treatments 2
- Co-authors
- Christopher S. Hourigan (12 shared papers)Laura W. Dillon (9 shared papers)Meghali Goswami (6 shared papers)Catherine Lai (4 shared papers)Katherine E. Lindblad (4 shared papers)Karolyn A. Oetjen (2 shared papers)J. Philip McCoy (1 shared paper)Pradeep K. Dagur (1 shared paper)
- Journals
- Blood (5 papers)Blood Advances (2 papers)Journal of Clinical Oncology (1 paper)JCI Insight (1 paper)Leukemia (1 paper)
- Partner nations
- United StatesCanadaNetherlands
In The Last Decade
Gege Gui
16 papers receiving 336 citations
Peers
Comparison fields: 5 of 50
- Hematology 115
- Immunology 88
- Genetics 38
- Biophysics 16
- Cancer Research 37
Countries citing papers authored by Gege Gui
This map shows the geographic impact of Gege Gui'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 Gege Gui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gege Gui more than expected).
Fields of papers citing papers by Gege Gui
This network shows the impact of papers produced by Gege Gui. 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 Gege Gui. The network helps show where Gege Gui may publish in the future.
Co-authors
The 25 scholars most cited alongside Gege Gui, 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 | 2018 | 132 | |
| 2 | 2019 | 39 | |
| 3 | 2020 | 39 | |
| 4 | 2022 | 27 | |
| 5 | 2018 | 26 | |
| 6 | 2021 | 16 | |
| 7 | 2019 | 16 | |
| 8 | 2021 | 14 | |
| 9 | 2024 | 10 | |
| 10 | 2022 | 7 | |
| 11 | 2025 | 5 | |
| 12 | 2025 | 2 | |
| 13 | 2023 | 1 | |
| 14 | 2026 | 1 | |
| 15 | 2022 | 1 | |
| 16 | 2022 | 1 | |
| 17 | 2019 | 0 | |
| 18 | 2025 | 0 |
About Gege Gui
Gege Gui is a scholar working on Molecular Biology, Hematology, Oncology, Cancer Research and Neurology, having authored 18 papers that have together received 337 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (8 papers), Cancer Genomics and Diagnostics (4 papers), Single-cell and spatial transcriptomics (4 papers), Histone Deacetylase Inhibitors Research (3 papers), Hematopoietic Stem Cell Transplantation (3 papers), Chronic Myeloid Leukemia Treatments (2 papers), Amyotrophic Lateral Sclerosis Research (2 papers) and Chemokine receptors and signaling (2 papers). The work is most often cited by research in Hematology (115 citations), Immunology (88 citations), Genetics (38 citations), Biophysics (16 citations) and Cancer Research (37 citations). Gege Gui has collaborated with scholars based in United States, Canada and Netherlands. Frequent co-authors include Christopher S. Hourigan, Laura W. Dillon, Meghali Goswami, Catherine Lai, Katherine E. Lindblad, Karolyn A. Oetjen, J. Philip McCoy, Pradeep K. Dagur, Christin B. DeStefano and Justin Lack. Their work appears in journals such as Blood, Blood Advances, Journal of Clinical Oncology, JCI Insight and Leukemia.
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.