Zhuoxin Sun

13.0k total citations · 4 hit papers
91 papers, 5.6k citations indexed

About

Zhuoxin Sun is a scholar working on Hematology, Oncology and Molecular Biology. According to data from OpenAlex, Zhuoxin Sun has authored 91 papers receiving a total of 5.6k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Hematology, 25 papers in Oncology and 24 papers in Molecular Biology. Recurrent topics in Zhuoxin Sun's work include Acute Myeloid Leukemia Research (42 papers), Acute Lymphoblastic Leukemia research (13 papers) and Histone Deacetylase Inhibitors Research (11 papers). Zhuoxin Sun is often cited by papers focused on Acute Myeloid Leukemia Research (42 papers), Acute Lymphoblastic Leukemia research (13 papers) and Histone Deacetylase Inhibitors Research (11 papers). Zhuoxin Sun collaborates with scholars based in United States, Israel and Switzerland. Zhuoxin Sun's co-authors include Allan R. Sampson, David A. Lewis, Joseph N. Pierri, Martin S. Tallman, Takanori Hashimoto, Elisabeth Paietta, Mark R. Litzow, Stephen M. Eggan, David W. Volk and Károly Mirnics and has published in prestigious journals such as New England Journal of Medicine, Journal of Clinical Oncology and Journal of Neuroscience.

In The Last Decade

Zhuoxin Sun

83 papers receiving 5.5k citations

Hit Papers

Gene Expression Deficits in a Subclass of GABA Neurons in... 2003 2026 2010 2018 2003 2009 2006 2016 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhuoxin Sun United States 29 1.9k 1.6k 1.6k 963 847 91 5.6k
Myriam Bernaudin France 40 2.4k 1.3× 1000 0.6× 862 0.6× 637 0.7× 147 0.2× 118 6.8k
Joanne Wuu United States 48 1.7k 0.9× 312 0.2× 2.0k 1.3× 438 0.5× 860 1.0× 107 6.6k
Jacqueline Palace United Kingdom 64 1.9k 1.0× 505 0.3× 728 0.5× 1.1k 1.2× 286 0.3× 247 14.0k
Norma J. Nowak United States 41 5.1k 2.7× 186 0.1× 948 0.6× 1.2k 1.3× 612 0.7× 140 8.4k
William Sun United States 34 1.9k 1.0× 734 0.5× 978 0.6× 345 0.4× 301 0.4× 95 3.9k
Mike Hutton United States 40 3.4k 1.8× 282 0.2× 2.1k 1.3× 637 0.7× 192 0.2× 84 9.1k
Nathan P. Staff United States 34 1.0k 0.5× 378 0.2× 1.3k 0.8× 1.5k 1.6× 771 0.9× 100 4.8k
Edward D. Lamperti United States 15 2.9k 1.6× 649 0.4× 758 0.5× 488 0.5× 62 0.1× 22 5.1k
Lynn D. Hudson United States 47 3.4k 1.8× 208 0.1× 1.2k 0.8× 232 0.2× 181 0.2× 82 7.0k
Zeynep Tümer Denmark 39 3.4k 1.8× 393 0.2× 283 0.2× 378 0.4× 252 0.3× 180 5.7k

Countries citing papers authored by Zhuoxin Sun

Since Specialization
Citations

This map shows the geographic impact of Zhuoxin Sun'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 Zhuoxin Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhuoxin Sun more than expected).

Fields of papers citing papers by Zhuoxin Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zhuoxin Sun. 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 Zhuoxin Sun. The network helps show where Zhuoxin Sun may publish in the future.

Co-authorship network of co-authors of Zhuoxin Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Zhuoxin Sun. A scholar is included among the top collaborators of Zhuoxin Sun 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 Zhuoxin Sun. Zhuoxin Sun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Sun, Zhuoxin, et al.. (2025). Additions and subtractions of radiotherapy in patients with oligometastatic non-small cell lung cancer under the era of immunotherapy. Critical Reviews in Oncology/Hematology. 214. 104853–104853.
2.
Li, Yihui, Huiwen Li, Lily Li, et al.. (2025). IgG-Associated Hypocomplementemia in Neonatal Lupus: A Retrospective Multicenter Study. Journal of Inflammation Research. Volume 18. 3419–3429.
4.
Gerber, David E., Yating Wang, Suresh S. Ramalingam, et al.. (2024). Incidence, Correlates, and Prognostic Significance of Mixed Response in Advanced Non-small Cell Lung Cancer. The Oncologist. 29(4). 342–349.
5.
Ganzel, Chezi, Zhuoxin Sun, Timour Baslan, et al.. (2022). Measurable residual disease by flow cytometry in acute myeloid leukemia is prognostic, independent of genomic profiling. Leukemia Research. 123. 106971–106971. 5 indexed citations
7.
Wiernik, Peter H., Zhuoxin Sun, Larry D. Cripe, et al.. (2021). Prognostic effect of gender on outcome of treatment for adults with acute myeloid leukaemia. British Journal of Haematology. 194(2). 309–318. 6 indexed citations
8.
Zhang, Jenny J., Zhuoxin Sun, Han Yuan, & Molin Wang. (2020). Alternatives to the Kaplan–Meier estimator of progression-free survival. The International Journal of Biostatistics. 17(1). 99–115. 2 indexed citations
11.
Luskin, Marlise R., Phyllis A. Gimotty, Catherine Smith, et al.. (2016). A clinical measure of DNA methylation predicts outcome in de novo acute myeloid leukemia. JCI Insight. 1(9). 18 indexed citations
12.
Prébet, Thomas, Zhuoxin Sun, Rhett P. Ketterling, et al.. (2015). Azacitidine with or without Entinostat for the treatment of therapy‐related myeloid neoplasm: further results of the E1905 North American Leukemia Intergroup study. British Journal of Haematology. 172(3). 384–391. 56 indexed citations
13.
Cesano, Alessandra, David B. Rosen, Santosh Putta, et al.. (2012). Functional pathway analysis in acute myeloid leukemia using single cell network profiling assay: Effect of specimen source (bone marrow or peripheral blood) on assay readouts. Cytometry Part B Clinical Cytometry. 82B(3). 158–172. 23 indexed citations
14.
Phillips, Kelly‐Anne, Karin Ribi, Zhuoxin Sun, et al.. (2010). Cognitive function in postmenopausal women receiving adjuvant letrozole or tamoxifen for breast cancer in the BIG 1-98 randomized trial. The Breast. 19(5). 388–395. 66 indexed citations
15.
Phillips, Kelly‐Anne, Julie Aldridge, Karin Ribi, et al.. (2010). Cognitive function in postmenopausal breast cancer patients one year after completing adjuvant endocrine therapy with letrozole and/or tamoxifen in the BIG 1-98 trial. Breast Cancer Research and Treatment. 126(1). 221–226. 51 indexed citations
16.
Mouridsen, Henning T., Aparna Keshaviah, Alan S. Coates, et al.. (2007). Cardiovascular Adverse Events During Adjuvant Endocrine Therapy for Early Breast Cancer Using Letrozole or Tamoxifen: Safety Analysis of BIG 1-98 Trial. Journal of Clinical Oncology. 25(36). 5715–5722. 93 indexed citations
17.
Day, Michelle, Zhongfeng Wang, Jun Ding, et al.. (2006). Selective elimination of glutamatergic synapses on striatopallidal neurons in Parkinson disease models. Nature Neuroscience. 9(2). 251–259. 586 indexed citations breakdown →
18.
Sweet, Robert A., et al.. (2006). Anatomical Evidence of Impaired Feedforward Auditory Processing in Schizophrenia. Biological Psychiatry. 61(7). 854–864. 67 indexed citations
19.
Hashimoto, Takanori, Sarah E. Bergen, Quyen Le Nguyen, et al.. (2005). Relationship of Brain-Derived Neurotrophic Factor and Its Receptor TrkB to Altered Inhibitory Prefrontal Circuitry in Schizophrenia. Journal of Neuroscience. 25(2). 372–383. 322 indexed citations
20.
Wu, Qiang, et al.. (2004). TheTlxGene Regulates the Timing of Neurogenesis in the Cortex. Journal of Neuroscience. 24(38). 8333–8345. 123 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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