Fumou Sun

850 total citations
32 papers, 556 citations indexed

About

Fumou Sun is a scholar working on Molecular Biology, Oncology and Hematology. According to data from OpenAlex, Fumou Sun has authored 32 papers receiving a total of 556 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 14 papers in Oncology and 12 papers in Hematology. Recurrent topics in Fumou Sun's work include Multiple Myeloma Research and Treatments (11 papers), CAR-T cell therapy research (6 papers) and T-cell and B-cell Immunology (6 papers). Fumou Sun is often cited by papers focused on Multiple Myeloma Research and Treatments (11 papers), CAR-T cell therapy research (6 papers) and T-cell and B-cell Immunology (6 papers). Fumou Sun collaborates with scholars based in United States, China and Hong Kong. Fumou Sun's co-authors include Juan Zhang, Min Wang, Tong Wang, Yan Cheng, Juanjuan Gong, Yihang Li, Suhua Qi, Zhenzhen Duan, Lei Zhao and Xiaoling Zhou and has published in prestigious journals such as Journal of Clinical Investigation, Blood and Cancer Research.

In The Last Decade

Fumou Sun

31 papers receiving 546 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fumou Sun United States 14 237 234 178 57 54 32 556
Vanessa Morales-Tirado United States 11 223 0.9× 112 0.5× 142 0.8× 90 1.6× 45 0.8× 26 540
Pyung-Keun Myung South Korea 11 191 0.8× 110 0.5× 148 0.8× 42 0.7× 14 0.3× 24 508
Dafei Han China 10 238 1.0× 168 0.7× 189 1.1× 93 1.6× 16 0.3× 17 540
Alessandro Colapietro Italy 17 370 1.6× 262 1.1× 85 0.5× 116 2.0× 14 0.3× 34 728
Roseanne S. Wexler United States 7 273 1.2× 84 0.4× 63 0.4× 75 1.3× 24 0.4× 11 599
Françoise Fauvel-Lafève France 15 346 1.5× 151 0.6× 75 0.4× 155 2.7× 19 0.4× 23 709
Arijit Bhowmik India 11 381 1.6× 147 0.6× 41 0.2× 108 1.9× 31 0.6× 27 686
Santanu Maji United States 11 297 1.3× 165 0.7× 86 0.5× 101 1.8× 10 0.2× 19 492
Aparna Shinde United States 12 393 1.7× 200 0.9× 71 0.4× 195 3.4× 17 0.3× 17 700

Countries citing papers authored by Fumou Sun

Since Specialization
Citations

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

Fields of papers citing papers by Fumou Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fumou Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Fumou Sun. A scholar is included among the top collaborators of Fumou 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 Fumou Sun. Fumou 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.
Cheng, Yan, Fumou Sun, Daisy Alapat, et al.. (2024). Multi-omics reveal immune microenvironment alterations in multiple myeloma and its precursor stages. Blood Cancer Journal. 14(1). 194–194. 13 indexed citations
2.
Cheng, Yan, Fumou Sun, Daisy Alapat, et al.. (2024). Multi-Omics Reveal Immune Microenvironment Alterations in Multiple Myeloma and Its Precursor Stages. Blood. 144(Supplement 1). 4729–4729.
3.
Li, Jianrong, Shahram Arsang‐Jang, Yan Cheng, et al.. (2024). Enhancing prognostic power in multiple myeloma using a plasma cell signature derived from single-cell RNA sequencing. Blood Cancer Journal. 14(1). 38–38. 4 indexed citations
4.
Sun, Fumou, Yan Cheng, Jin‐Ran Chen, et al.. (2023). BCMA- and CST6-specific CAR T cells lyse multiple myeloma cells and suppress murine osteolytic lesions. Journal of Clinical Investigation. 134(1). 3 indexed citations
5.
Siegel, Eric R., Fumou Sun, Cody Ashby, et al.. (2023). Prognostic Value of Ferritin in ASCT MM Patients: Integration with GEP Models and ISS Series Systems. Blood. 142(Supplement 1). 6573–6573. 1 indexed citations
6.
Sun, Fumou, Yan Cheng, Jin‐Ran Chen, et al.. (2023). The BCMA-Targeted Fourth-Generation CAR-T Cells Secreting CST6 Against Multiple Myeloma and Suppresses Osteolytic Lesions. Blood. 142(Supplement 1). 452–452. 1 indexed citations
7.
Sun, Fumou, Yan Cheng, Deepak Parashar, et al.. (2023). IL6Myc mouse is an immunocompetent model for the development of aggressive multiple myeloma. Haematologica. 108(12). 3372–3383. 1 indexed citations
8.
Shi, Yijiang, Fumou Sun, Yan Cheng, et al.. (2022). Critical Role for Cap-Independent c-MYC Translation in Progression of Multiple Myeloma. Molecular Cancer Therapeutics. 21(4). 502–510. 4 indexed citations
9.
Pan, Mingzhu, Fei Wang, Siyu Yang, et al.. (2022). αVEGFR2-MICA fusion antibodies enhance immunotherapy effect and synergize with PD-1 blockade. Cancer Immunology Immunotherapy. 72(4). 969–984. 13 indexed citations
10.
Sun, Fumou, et al.. (2022). Baicalin regulates autophagy to interfere with small intestinal acute graft-versus-host disease. Scientific Reports. 12(1). 6551–6551. 11 indexed citations
11.
Cheng, Yan, Fumou Sun, Xuefang Jing, et al.. (2022). FOXM1 regulates glycolysis and energy production in multiple myeloma. Oncogene. 41(32). 3899–3911. 28 indexed citations
12.
Cheng, Yan, Fumou Sun, Xing Cui, & Siegfried Janz. (2020). Genetic predisposition to multiple myeloma. 4(1). 9–18. 1 indexed citations
13.
Cheng, Yan, Fumou Sun, Anita D’Souza, et al.. (2020). Autonomic nervous system control of multiple myeloma. Blood Reviews. 46. 100741–100741. 12 indexed citations
14.
Li, Nianhu, et al.. (2020). Exosomal circRNA as a novel potential therapeutic target for multiple myeloma-related peripheral neuropathy. Cellular Signalling. 78. 109872–109872. 21 indexed citations
15.
Han, Yue, Fumou Sun, Xinrong Zhang, et al.. (2019). CD24 targeting bi-specific antibody that simultaneously stimulates NKG2D enhances the efficacy of cancer immunotherapy. Journal of Cancer Research and Clinical Oncology. 145(5). 1179–1190. 37 indexed citations
16.
Duan, Tao, Zhuobin Xu, Fumou Sun, et al.. (2019). HPA aptamer functionalized paclitaxel-loaded PLGA nanoparticles for enhanced anticancer therapy through targeted effects and microenvironment modulation. Biomedicine & Pharmacotherapy. 117. 109121–109121. 53 indexed citations
17.
He, Hua, Fumou Sun, Yao Xu, et al.. (2017). Selective targeted delivery of doxorubicin via conjugating to anti-CD24 antibody results in enhanced antitumor potency for hepatocellular carcinoma both in vitro and in vivo. Journal of Cancer Research and Clinical Oncology. 143(10). 1929–1940. 30 indexed citations
18.
Hezam, Kamal, et al.. (2017). Artemin promotes oncogenicity, metastasis and drug resistance in cancer cells. Reviews in the Neurosciences. 29(1). 93–98. 11 indexed citations
19.
Wang, Tong, Fumou Sun, Wei Xie, et al.. (2016). A bispecific protein rG7S-MICA recruits natural killer cells and enhances NKG2D-mediated immunosurveillance against hepatocellular carcinoma. Cancer Letters. 372(2). 166–178. 46 indexed citations
20.
Qi, Suhua, Juanjuan Gong, Fumou Sun, et al.. (2011). Neuroprotection of paclitaxel against cerebral ischemia/reperfusion-induced brain injury through JNK3 signaling pathway. Journal of Receptors and Signal Transduction. 31(6). 402–407. 3 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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