Ruolan Han

1.1k total citations
22 papers, 817 citations indexed

About

Ruolan Han is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Ruolan Han has authored 22 papers receiving a total of 817 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 8 papers in Pulmonary and Respiratory Medicine and 6 papers in Oncology. Recurrent topics in Ruolan Han's work include Glioma Diagnosis and Treatment (5 papers), Cancer Research and Treatments (4 papers) and Sarcoma Diagnosis and Treatment (4 papers). Ruolan Han is often cited by papers focused on Glioma Diagnosis and Treatment (5 papers), Cancer Research and Treatments (4 papers) and Sarcoma Diagnosis and Treatment (4 papers). Ruolan Han collaborates with scholars based in United States, Japan and South Korea. Ruolan Han's co-authors include Yin Yang, Mark Noble, Jöerg Dietrich, Margot Mayer‐Pröschel, Anne E. Luebke, Margot Mayer-Pröschel, Jeffrey L. Larson, Jason T. Yustein, Brian Dawson and Lyazat Kurenbekova and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Ruolan Han

21 papers receiving 790 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ruolan Han United States 9 526 434 182 121 76 22 817
Seon‐Jin Yoon South Korea 14 163 0.3× 370 0.9× 416 2.3× 162 1.3× 79 1.0× 37 988
Fadi Saadeh Lebanon 9 176 0.3× 168 0.4× 177 1.0× 107 0.9× 8 0.1× 13 475
Michael Tobias United States 12 76 0.1× 223 0.5× 320 1.8× 96 0.8× 13 0.2× 30 777
Dominique Higgins United States 12 340 0.6× 103 0.2× 334 1.8× 99 0.8× 10 0.1× 30 801
Carolina Batista Ariza Brazil 12 54 0.1× 98 0.2× 207 1.1× 167 1.4× 51 0.7× 23 536
Yasuhiko Akiyama Japan 13 98 0.2× 98 0.2× 160 0.9× 76 0.6× 8 0.1× 54 646
Kaiming Liu China 11 55 0.1× 171 0.4× 327 1.8× 16 0.1× 45 0.6× 32 653
Yiming Tu China 16 161 0.3× 73 0.2× 491 2.7× 117 1.0× 19 0.3× 32 841
Ke Gong China 16 130 0.2× 76 0.2× 579 3.2× 256 2.1× 25 0.3× 39 1.0k

Countries citing papers authored by Ruolan Han

Since Specialization
Citations

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

Fields of papers citing papers by Ruolan Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruolan Han

This figure shows the co-authorship network connecting the top 25 collaborators of Ruolan Han. A scholar is included among the top collaborators of Ruolan Han 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 Ruolan Han. Ruolan Han 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.
2.
Zhang, Jiangzhou, et al.. (2025). Comprehensive assessment of soil health in representative kiwifruit orchards in southwest China. Agriculture Ecosystems & Environment. 388. 109656–109656. 2 indexed citations
3.
Yin, Minghui, et al.. (2024). Bioinformatics analysis reveals SOD1 is a prognostic factor in lung adenocarcinoma. Translational Cancer Research. 13(10). 5522–5534. 1 indexed citations
4.
Su, Qingtai, Stephen Gutowski, Gaurav Bharadwaj, et al.. (2023). Abstract 815: Improved tolerability and tumor specific delivery of a therapeutic bispecific T cell engager using a pH-sensitive nanoparticle platform. Cancer Research. 83(7_Supplement). 815–815. 1 indexed citations
5.
Lerário, Antônio Marcondes, Dipika R. Mohan, Christopher R. LaPensee, et al.. (2023). Targeting Oncogenic Wnt/β-Catenin Signaling in Adrenocortical Carcinoma Disrupts ECM Expression and Impairs Tumor Growth. Cancers. 15(14). 3559–3559. 13 indexed citations
6.
Su, Qingtai, Stephen Gutowski, Austin Burcham, et al.. (2023). 1147-B Encapsulation of IL-12 with an ultra pH-sensitive tumor delivery platform improves tolerability and promotes antitumor response in a preclinical model. SHILAP Revista de lepidopterología. A1836–A1836. 1 indexed citations
7.
Braggio, Danielle, Feng Jin, Abeba Zewdu, et al.. (2022). Preclinical efficacy of the Wnt/β-catenin pathway inhibitor BC2059 for the treatment of desmoid tumors. PLoS ONE. 17(10). e0276047–e0276047. 12 indexed citations
8.
Li, Suxin, Jian Wang, Jonathan Wilhelm, et al.. (2022). Abstract 4234: ONM-501: A polyvalent STING agonist for oncology immunotherapy. Cancer Research. 82(12_Supplement). 4234–4234. 5 indexed citations
9.
Chen, Zirong, Jason Miller, Wei Li, et al.. (2022). 1155 ONM-501, a polyvalent STING agonist, exhibits anti-tumor efficacy with increased tumor T-cell infiltration in mice and is well tolerated in rats and non-human primates. Regular and Young Investigator Award Abstracts. A1198–A1198. 3 indexed citations
10.
Han, Ruolan, et al.. (2022). Anthropogenic Gd in urban river water: A case study in Guiyang, SW China. UNC Libraries. 5 indexed citations
11.
Kurmasheva, Raushan T., Stephen W. Erickson, Ruolan Han, et al.. (2021). In vivo evaluation of the lysine‐specific demethylase (KDM1A/LSD1) inhibitor SP‐2577 (Seclidemstat) against pediatric sarcoma preclinical models: A report from the Pediatric Preclinical Testing Consortium (PPTC). Pediatric Blood & Cancer. 68(11). e29304–e29304. 22 indexed citations
12.
Nomura, Motonari, Nino Rainusso, Yi‐Chien Lee, et al.. (2019). Tegavivint and the β-Catenin/ALDH Axis in Chemotherapy-Resistant and Metastatic Osteosarcoma. JNCI Journal of the National Cancer Institute. 111(11). 1216–1227. 83 indexed citations
13.
14.
Nomura, Motonari, Nino Rainusso, Ruolan Han, et al.. (2018). Abstract 3186: Tegavivint suppresses progression and metastasis of osteosarcoma via blockade of Wnt signaling/ALDH1 axis: Preclinical study of a novel Wnt/β-catenin pathway inhibitor. Cancer Research. 78(13_Supplement). 3186–3186. 1 indexed citations
15.
Romero, Megan M., Ruolan Han, Jeffrey Larson, et al.. (2018). IMMU-19. LSD1 MODULATES NK CELL IMMUNOTHERAPY THROUGH AN ONCO-IMMUNOGENIC GENE SIGNATURE IN DIPG. Neuro-Oncology. 20(suppl_2). i102–i102. 2 indexed citations
16.
Fiskus, Warren, Christopher P. Mill, Raffaella Soldi, et al.. (2018). Synergistic Pre-Clinical Activity of Targeted Inhibition of KDM1A and BET Proteins Against Human AML Blast Progenitor Cells. Blood. 132(Supplement 1). 3930–3930. 5 indexed citations
17.
Noble, Mark, Margot Mayer‐Pröschel, Zaibo Li, et al.. (2014). Redox biology in normal cells and cancer: Restoring function of the redox/Fyn/c-Cbl pathway in cancer cells offers new approaches to cancer treatment. Free Radical Biology and Medicine. 79. 300–323. 12 indexed citations
18.
Chen, Hsing‐Yu, Yin Yang, Ruolan Han, & Mark Noble. (2013). MEK1/2 Inhibition Suppresses Tamoxifen Toxicity on CNS Glial Progenitor Cells. Journal of Neuroscience. 33(38). 15069–15074. 15 indexed citations
19.
Han, Ruolan, Yin Yang, Jöerg Dietrich, et al.. (2008). Systemic 5-fluorouracil treatment causes a syndrome of delayed myelin destruction in the central nervous system. Journal of Biology. 7(4). 12–12. 230 indexed citations
20.
Dietrich, Jöerg, Ruolan Han, Yin Yang, Margot Mayer‐Pröschel, & Mark Noble. (2006). CNS progenitor cells and oligodendrocytes are targets of chemotherapeutic agents in vitro and in vivo. Journal of Biology. 5(7). 22–22. 393 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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