Ruimin Ge

987 total citations
13 papers, 774 citations indexed

About

Ruimin Ge is a scholar working on Cellular and Molecular Neuroscience, Neurology and Developmental Neuroscience. According to data from OpenAlex, Ruimin Ge has authored 13 papers receiving a total of 774 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cellular and Molecular Neuroscience, 5 papers in Neurology and 5 papers in Developmental Neuroscience. Recurrent topics in Ruimin Ge's work include Nerve injury and regeneration (5 papers), Neurogenesis and neuroplasticity mechanisms (5 papers) and Neuroinflammation and Neurodegeneration Mechanisms (5 papers). Ruimin Ge is often cited by papers focused on Nerve injury and regeneration (5 papers), Neurogenesis and neuroplasticity mechanisms (5 papers) and Neuroinflammation and Neurodegeneration Mechanisms (5 papers). Ruimin Ge collaborates with scholars based in Sweden, China and Spain. Ruimin Ge's co-authors include Olle Lindvall, Zaal Kokaia, Daniel Tornero, Emanuela Monni, Jemal Tatarishvili, Somsak Wattananit, Henrik Ahlenius, Michal Schwartz, Tamar Memanishvili and Giedre Miskinyte and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and Brain.

In The Last Decade

Ruimin Ge

13 papers receiving 765 citations

Peers

Ruimin Ge
Ruimin Ge
Citations per year, relative to Ruimin Ge Ruimin Ge (= 1×) peers Somsak Wattananit

Countries citing papers authored by Ruimin Ge

Since Specialization
Citations

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

Fields of papers citing papers by Ruimin Ge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruimin Ge

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

All Works

13 of 13 papers shown
1.
Fang, Yaohui, Chunlu Tan, Jiali Tang, et al.. (2025). The function of microRNA related to cancer-associated fibroblasts in pancreatic ductal adenocarcinoma. Biochemical Pharmacology. 236. 116849–116849. 2 indexed citations
2.
Friedländer, Michael, Linda Mileshkin, Janine Lombard, et al.. (2023). Pamiparib in combination with tislelizumab in patients with advanced solid tumours: results from the dose-expansion stage of a multicentre, open-label, phase I trial. British Journal of Cancer. 129(5). 797–810. 9 indexed citations
4.
Laterza, Cecilia, Daniel Tornero, Ulrika Wilhelmsson, et al.. (2018). Attenuation of reactive gliosis in stroke-injured mouse brain does not affect neurogenesis from grafted human iPSC-derived neural progenitors. PLoS ONE. 13(2). e0192118–e0192118. 12 indexed citations
5.
Xu, Binghe, Yongmei Yin, Yan Song, et al.. (2018). Abstract CT050: A phase I dose escalation study of BGB-290 in Chinese subjects with advanced ovarian, fallopian, and primary peritoneal, or advanced triple-negative breast cancer. Cancer Research. 78(13_Supplement). CT050–CT050. 1 indexed citations
6.
Ge, Ruimin, Daniel Tornero, Masao Hirota, et al.. (2017). Choroid plexus-cerebrospinal fluid route for monocyte-derived macrophages after stroke. Journal of Neuroinflammation. 14(1). 153–153. 75 indexed citations
7.
Laterza, Cecilia, Somsak Wattananit, Ruimin Ge, et al.. (2017). Monocyte depletion early after stroke promotes neurogenesis from endogenous neural stem cells in adult brain. Experimental Neurology. 297. 129–137. 24 indexed citations
8.
Rosa‐Prieto, Carlos de la, Cecilia Laterza, Somsak Wattananit, et al.. (2017). Stroke alters behavior of human skin-derived neural progenitors after transplantation adjacent to neurogenic area in rat brain. Stem Cell Research & Therapy. 8(1). 59–59. 9 indexed citations
9.
Wattananit, Somsak, Daniel Tornero, Nadine Graubardt, et al.. (2016). Monocyte-Derived Macrophages Contribute to Spontaneous Long-Term Functional Recovery after Stroke in Mice. Journal of Neuroscience. 36(15). 4182–4195. 277 indexed citations
10.
Tornero, Daniel, Oleg Tsupykov, Marcus Granmo, et al.. (2016). Synaptic inputs from stroke-injured brain to grafted human stem cell-derived neurons activated by sensory stimuli. Brain. 140(3). aww347–aww347. 117 indexed citations
11.
Li, Peng, Xiaofeng Sun, Zhizhong Ma, et al.. (2016). Transcriptional Reactivation of OTX2, RX1 and SIX3 during Reprogramming Contributes to the Generation of RPE Cells from Human iPSCs. International Journal of Biological Sciences. 12(5). 505–517. 13 indexed citations
12.
Chapman, Katie, Ruimin Ge, Emanuela Monni, et al.. (2015). Inflammation without neuronal death triggers striatal neurogenesis comparable to stroke. Neurobiology of Disease. 83. 1–15. 44 indexed citations
13.
Tornero, Daniel, Somsak Wattananit, Philipp Koch, et al.. (2013). Human induced pluripotent stem cell-derived cortical neurons integrate in stroke-injured cortex and improve functional recovery. Brain. 136(12). 3561–3577. 190 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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