Gege Gui

1.6k total citations
18 papers, 314 citations indexed

About

Gege Gui is a scholar working on Molecular Biology, Hematology and Oncology. According to data from OpenAlex, Gege Gui has authored 18 papers receiving a total of 314 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 8 papers in Hematology and 5 papers in Oncology. Recurrent topics in Gege Gui's work include Acute Myeloid Leukemia Research (8 papers), Single-cell and spatial transcriptomics (4 papers) and Cancer Genomics and Diagnostics (4 papers). Gege Gui is often cited by papers focused on Acute Myeloid Leukemia Research (8 papers), Single-cell and spatial transcriptomics (4 papers) and Cancer Genomics and Diagnostics (4 papers). Gege Gui collaborates with scholars based in United States, Canada and Netherlands. Gege Gui's co-authors include Christopher S. Hourigan, Laura W. Dillon, Meghali Goswami, Catherine Lai, Katherine E. Lindblad, Karolyn A. Oetjen, J. Philip McCoy, Christin B. DeStefano, Michael M. Gottesman and Justin Lack and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Neuron and Journal of Clinical Oncology.

In The Last Decade

Gege Gui

15 papers receiving 312 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Gege Gui United States 9 164 118 92 61 50 18 314
Birte Niebuhr Germany 8 196 1.2× 138 1.2× 50 0.5× 72 1.2× 50 1.0× 10 369
Roel Vandepoel Belgium 12 264 1.6× 97 0.8× 64 0.7× 72 1.2× 23 0.5× 14 439
Huen Suk Kim United States 9 382 2.3× 161 1.4× 100 1.1× 98 1.6× 29 0.6× 11 570
Gina Kirsammer United States 8 237 1.4× 129 1.1× 40 0.4× 84 1.4× 38 0.8× 8 385
Derek Bouman Canada 8 229 1.4× 129 1.1× 73 0.8× 71 1.2× 64 1.3× 9 377
Giulia Corradi Italy 10 115 0.7× 161 1.4× 115 1.3× 90 1.5× 69 1.4× 24 352
Andrea Neumann Canada 2 135 0.8× 128 1.1× 68 0.7× 51 0.8× 34 0.7× 4 263
Katie L. Kathrein United States 8 382 2.3× 149 1.3× 132 1.4× 54 0.9× 31 0.6× 16 563
Sue Colman United Kingdom 5 149 0.9× 191 1.6× 36 0.4× 111 1.8× 57 1.1× 6 395
Rosalind Codrington United Kingdom 7 185 1.1× 109 0.9× 62 0.7× 86 1.4× 15 0.3× 8 339

Countries citing papers authored by Gege Gui

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Gege Gui

This figure shows the co-authorship network connecting the top 25 collaborators of Gege Gui. A scholar is included among the top collaborators of Gege Gui based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gege Gui. Gege Gui is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Liu, Mingming, Gege Gui, Hao Wang, et al.. (2026). C9orf72 hexanucleotide repeat RNA drives transcriptional dysregulation through genome-wide DNA:RNA hybrid G-quadruplexes. Neuron. 114(6). 1045–1065.e13.
2.
Tettero, Jesse M., Gege Gui, Filippo Milano, et al.. (2025). Significant Inter-Laboratory Variability in Measurable Residual Disease Multiparameter Flow Cytometry Testing Prior to Allogeneic Transplantation Impedes Outcome Prediction: A CIBMTR Analysis. Transplantation and Cellular Therapy. 31(2). S117–S118. 1 indexed citations
3.
Gui, Gege, Jeremy Herzog, Abigail Wong-Rolle, et al.. (2025). Single-cell spatial transcriptomics reveals immunotherapy-driven bone marrow niche remodeling in AML. Science Advances. 11(28). eadw4871–eadw4871. 1 indexed citations
4.
Gui, Gege & Christopher S. Hourigan. (2025). Overall survival, conditioning, and MRD in MORPHO. Blood Advances. 10(2). 511–513.
5.
Gui, Gege, Christophe Roumier, Georgia Andrew, et al.. (2024). Pre-emptive detection and evolution of relapse in acute myeloid leukemia by flow cytometric measurable residual disease surveillance. Leukemia. 38(8). 1667–1673. 9 indexed citations
6.
Andrew, Georgia, Gege Gui, Devdeep Mukherjee, et al.. (2023). Persistence of FLT3-TKD in Blood Prior to Allogeneic Transplant Is Associated with Increased Relapse and Death in Adults with AML in First Remission. Blood. 142(Supplement 1). 2941–2941. 1 indexed citations
7.
Xue, Yingchao, Xiping Zhan, Yi Fu, et al.. (2022). Edaravone activates the GDNF/RET neurotrophic signaling pathway and protects mRNA-induced motor neurons from iPS cells. Molecular Neurodegeneration. 17(1). 8–8. 27 indexed citations
8.
Dillon, Laura W., Gege Gui, Zoë C. Wong, et al.. (2022). Pre-MEASURE: Multicenter evaluation of the prognostic significance of measurable residual disease testing prior to allogeneic transplantation for adult patients with AML in first remission.. Journal of Clinical Oncology. 40(16_suppl). 7006–7006. 7 indexed citations
9.
Dillon, Laura W., et al.. (2022). Pre- and Post-Transplant Measurable Residual IDH Mutations Are Not Associated with Relapse in Patients with IDH-Mutated AML. Blood. 140(Supplement 1). 3391–3392. 1 indexed citations
10.
Gui, Gege, Abigail Wong-Rolle, Laura W. Dillon, et al.. (2022). Spatial-Temporal Multiomic Analysis of Tumor-Immune Interactions in Patients with AML Receiving Pembrolizumab and Decitabine. Blood. 140(Supplement 1). 3427–3428. 1 indexed citations
11.
Xue, Yingchao, Yi Fu, Fenghong Zhao, et al.. (2021). Frondoside A Inhibits an MYC-Driven Medulloblastoma Model Derived from Human-Induced Pluripotent Stem Cells. Molecular Cancer Therapeutics. 20(6). 1199–1209. 16 indexed citations
12.
Fu, Yi, Weiqiang Zhou, Gege Gui, et al.. (2021). EGFR Activates a TAZ-Driven Oncogenic Program in Glioblastoma. Cancer Research. 81(13). 3580–3592. 14 indexed citations
13.
Çelik, Haydar, Katherine E. Lindblad, Bogdan Popescu, et al.. (2020). Highly multiplexed proteomic assessment of human bone marrow in acute myeloid leukemia. Blood Advances. 4(2). 367–379. 38 indexed citations
14.
Çelik, Haydar, Katherine E. Lindblad, Bogdan Popescu, et al.. (2019). A Novel Proteomic Profiling of the Bone Marrow Microenvironment Reveals Elevated Levels of the Chemokine CCL23 Isoforms in Acute Myeloid Leukemia. Blood. 134(Supplement_1). 2709–2709.
15.
Horibata, Sachi, Gege Gui, Justin Lack, et al.. (2019). Heterogeneity in refractory acute myeloid leukemia. Proceedings of the National Academy of Sciences. 116(21). 10494–10503. 37 indexed citations
16.
Roelli, Patrick, et al.. (2019). Hoohm/CITE-seq-Count: 1.4.2. Zenodo (CERN European Organization for Nuclear Research). 16 indexed citations
17.
Oetjen, Karolyn A., Katherine E. Lindblad, Meghali Goswami, et al.. (2018). Human bone marrow assessment by single-cell RNA sequencing, mass cytometry, and flow cytometry. JCI Insight. 3(23). 119 indexed citations
18.
Lindblad, Katherine E., Julie Thompson, Gege Gui, et al.. (2018). Pembrolizumab and Decitabine for Refractory or Relapsed Acute Myeloid Leukemia. Blood. 132(Supplement 1). 1437–1437. 26 indexed citations

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.

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