Mia C. Borlongan

625 total citations
20 papers, 443 citations indexed

About

Mia C. Borlongan is a scholar working on Molecular Biology, Neurology and Immunology. According to data from OpenAlex, Mia C. Borlongan has authored 20 papers receiving a total of 443 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Neurology and 6 papers in Immunology. Recurrent topics in Mia C. Borlongan's work include Mesenchymal stem cell research (5 papers), Traumatic Brain Injury and Neurovascular Disturbances (5 papers) and CAR-T cell therapy research (3 papers). Mia C. Borlongan is often cited by papers focused on Mesenchymal stem cell research (5 papers), Traumatic Brain Injury and Neurovascular Disturbances (5 papers) and CAR-T cell therapy research (3 papers). Mia C. Borlongan collaborates with scholars based in United States, Finland and Japan. Mia C. Borlongan's co-authors include Cesar V. Borlongan, Nathan Watson, Hongbin Wang, Dipongkor Saha, Ken Arai, Naoki Tajiri, Akihiro Shindo, Takakuni Maki, Emiri T. Mandeville and Eng H. Lo and has published in prestigious journals such as SHILAP Revista de lepidopterología, Stroke and Scientific Reports.

In The Last Decade

Mia C. Borlongan

20 papers receiving 429 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mia C. Borlongan United States 12 149 99 98 75 71 20 443
Ling Weng China 15 179 1.2× 109 1.1× 53 0.5× 120 1.6× 114 1.6× 33 606
Kedar Mahajan United States 12 113 0.8× 61 0.6× 79 0.8× 98 1.3× 116 1.6× 24 557
Fanfan Chen China 9 186 1.2× 231 2.3× 79 0.8× 164 2.2× 45 0.6× 41 585
Ankush Bhatia United States 10 71 0.5× 92 0.9× 96 1.0× 82 1.1× 47 0.7× 23 417
Bingzhen Cao China 11 134 0.9× 100 1.0× 43 0.4× 50 0.7× 33 0.5× 26 387
Takeo Mukai Japan 13 113 0.8× 174 1.8× 57 0.6× 30 0.4× 47 0.7× 38 463
Wolf Müller Germany 14 106 0.7× 127 1.3× 63 0.6× 94 1.3× 25 0.4× 25 444
Sheng-Ping Fu China 10 156 1.0× 79 0.8× 100 1.0× 17 0.2× 140 2.0× 11 488
Loren E. Glover United States 11 229 1.5× 244 2.5× 141 1.4× 90 1.2× 39 0.5× 13 603
Jianbang Han China 11 284 1.9× 158 1.6× 133 1.4× 24 0.3× 109 1.5× 14 535

Countries citing papers authored by Mia C. Borlongan

Since Specialization
Citations

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

Fields of papers citing papers by Mia C. Borlongan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mia C. Borlongan. 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 Mia C. Borlongan. The network helps show where Mia C. Borlongan may publish in the future.

Co-authorship network of co-authors of Mia C. Borlongan

This figure shows the co-authorship network connecting the top 25 collaborators of Mia C. Borlongan. A scholar is included among the top collaborators of Mia C. Borlongan 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 Mia C. Borlongan. Mia C. Borlongan 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.
Borlongan, Mia C., et al.. (2025). Modeling of cancer stem cells and the tumor microenvironment Via NT2/D1 cells to probe pathology and treatment for cancer and beyond. Discover Oncology. 16(1). 605–605. 2 indexed citations
2.
Borlongan, Mia C., et al.. (2024). Cytokine-armed oncolytic herpes simplex viruses: a game-changer in cancer immunotherapy?. Journal for ImmunoTherapy of Cancer. 12(5). e008025–e008025. 13 indexed citations
3.
Borlongan, Mia C., et al.. (2023). Tumor Microenvironment: A Niche for Cancer Stem Cell Immunotherapy. Stem Cell Reviews and Reports. 20(1). 3–24. 18 indexed citations
4.
Grue, Katherine, Maria Serena Paladini, Elma S. Frias, et al.. (2023). Combined space stressors induce independent behavioral deficits predicted by early peripheral blood monocytes. Scientific Reports. 13(1). 1749–1749. 8 indexed citations
5.
Borlongan, Mia C. & Hongbin Wang. (2023). Profiling and targeting cancer stem cell signaling pathways for cancer therapeutics. Frontiers in Cell and Developmental Biology. 11. 23 indexed citations
6.
Wang, Hongbin, Mia C. Borlongan, Akseli Hemminki, et al.. (2023). Viral Vectors Expressing Interleukin 2 for Cancer Immunotherapy. Human Gene Therapy. 34(17-18). 878–895. 20 indexed citations
7.
Borlongan, Mia C. & Susanna Rosi. (2022). Stem Cell Therapy for Sequestration of Traumatic Brain Injury-Induced Inflammation. International Journal of Molecular Sciences. 23(18). 10286–10286. 8 indexed citations
8.
Borlongan, Mia C., et al.. (2021). Stem Cells for Aging-Related Disorders. Stem Cell Reviews and Reports. 17(6). 2054–2058. 5 indexed citations
9.
Borlongan, Mia C., Chase Kingsbury, Nadia Sadanandan, et al.. (2021). IL-2/IL-2R Antibody Complex Enhances Treg-Induced Neuroprotection by Dampening TNF-α Inflammation in an In Vitro Stroke Model. NeuroMolecular Medicine. 23(4). 540–548. 15 indexed citations
10.
Park, You Jeong, Nadia Sadanandan, Blaise Cozene, et al.. (2020). Fighting the War Against COVID-19 via Cell-Based Regenerative Medicine: Lessons Learned from 1918 Spanish Flu and Other Previous Pandemics. Stem Cell Reviews and Reports. 17(1). 9–32. 10 indexed citations
11.
Shindo, Akihiro, Hajime Takase, Gen Hamanaka, et al.. (2020). Biphasic roles of pentraxin 3 in cerebrovascular function after white matter stroke. CNS Neuroscience & Therapeutics. 27(1). 60–70. 10 indexed citations
12.
Arai, Ken, et al.. (2019). Brief overview: Protective roles of astrocyte-derived pentraxin-3 in blood-brain barrier integrity. SHILAP Revista de lepidopterología. 5(3). 145–145. 11 indexed citations
13.
Lin, Xiaoyang, et al.. (2016). Acupuncture-Induced Analgesia: The Role of Microglial Inhibition. Cell Transplantation. 25(4). 621–628. 21 indexed citations
14.
Shindo, Akihiro, Takakuni Maki, Emiri T. Mandeville, et al.. (2016). Astrocyte-Derived Pentraxin 3 Supports Blood–Brain Barrier Integrity Under Acute Phase of Stroke. Stroke. 47(4). 1094–1100. 91 indexed citations
15.
Borlongan, Mia C., et al.. (2016). Lab-to-clinic application of stem cell therapy for stroke. Chinese Neurosurgical Journal. 2(1). 1 indexed citations
16.
Watson, Nathan, et al.. (2014). Discarded Wharton jelly of the human umbilical cord: a viable source for mesenchymal stromal cells. Cytotherapy. 17(1). 18–24. 108 indexed citations
17.
Tajiri, Naoki, Sandra Acosta, Kazutaka Shinozuka, et al.. (2014). Suppressed cytokine expression immediatey following traumatic brain injury in neonatal rats indicates an expeditious endogenous anti-inflammatory response. Brain Research. 1559. 65–71. 16 indexed citations
18.
Tajiri, Naoki, Kelsey Duncan, Mia C. Borlongan, et al.. (2014). Adult Stem Cell Transplantation: Is Gender a Factor in Stemness?. International Journal of Molecular Sciences. 15(9). 15225–15243. 22 indexed citations
19.
Gonzales-Portillo, Gabriel S., et al.. (2013). Vascular damage: A persisting pathology common to Alzheimer’s disease and traumatic brain injury. Medical Hypotheses. 81(5). 842–845. 37 indexed citations
20.
Gonzales-Portillo, Gabriel S., et al.. (2013). Diabetes insipidus contributes to traumatic brain injury pathology via CD36 neuroinflammation. Medical Hypotheses. 81(5). 936–939. 4 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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