Linda Chi

550 total citations
12 papers, 198 citations indexed

About

Linda Chi is a scholar working on Oncology, Genetics and Pathology and Forensic Medicine. According to data from OpenAlex, Linda Chi has authored 12 papers receiving a total of 198 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 5 papers in Genetics and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Linda Chi's work include CAR-T cell therapy research (5 papers), Glioma Diagnosis and Treatment (5 papers) and Neurological Complications and Syndromes (2 papers). Linda Chi is often cited by papers focused on CAR-T cell therapy research (5 papers), Glioma Diagnosis and Treatment (5 papers) and Neurological Complications and Syndromes (2 papers). Linda Chi collaborates with scholars based in United States, Saudi Arabia and Egypt. Linda Chi's co-authors include Carlos Kamiya-Matsuoka, Sudhakar Tummala, Monica Loghin, Chelsea C. Pinnix, Karin Woodman, Asif Paker, Naval Daver, David Cachia, Hagop M. Kantarjian and Sattva S. Neelapu and has published in prestigious journals such as Journal of Clinical Oncology, Neurosurgery and Neuro-Oncology.

In The Last Decade

Linda Chi

11 papers receiving 189 citations

Peers

Linda Chi
Masafumi Kanoto Japan
Daniela Cuzzubbo Italy
Min Cheol Lee South Korea
Stéphanie Trunet France
Perrine Devic France
Hedieh Khalatbari United States
João Luiz Vitorino Araújo Brazil
Lily Koo Lin United States
Sheelagh Martin Canada
Veena Nagar United States
Masafumi Kanoto Japan
Linda Chi
Citations per year, relative to Linda Chi Linda Chi (= 1×) peers Masafumi Kanoto

Countries citing papers authored by Linda Chi

Since Specialization
Citations

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

Fields of papers citing papers by Linda Chi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Linda Chi

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

All Works

12 of 12 papers shown
1.
Brown, Brandon D., Francesco Paolo Tambaro, Linda Chi, et al.. (2021). Immune Effector Cell Associated Neurotoxicity (ICANS) in Pediatric and Young Adult Patients Following Chimeric Antigen Receptor (CAR) T-Cell Therapy: Can We Optimize Early Diagnosis?. Frontiers in Oncology. 11. 634445–634445. 33 indexed citations
2.
Khawaja, Fareed, Hun Ju Lee, Gregory P. Kaufman, et al.. (2021). Human herpesvirus 6 myelitis after chimeric antigen receptor T-cell therapy. International Journal of Infectious Diseases. 112. 327–329. 24 indexed citations
3.
Nair, Ranjit, Faustine Lhomme, Anthony Le Bras, et al.. (2020). Acute leucoencephalomyelopathy and quadriparesis after CAR T-cell therapy. Haematologica. 106(5). 1504–1506. 25 indexed citations
4.
5.
Weathers, Shiao‐Pei, Marta Penas‐Prado, Pinaki P. Banerjee, et al.. (2020). A phase I/II clinical trial of autologous CMV-specific T cells in glioblastoma (GBM) patients to reveal a lack of immune effector function.. Journal of Clinical Oncology. 38(15_suppl). 2515–2515. 4 indexed citations
6.
Majd, Nazanin, Solveig G. Ericson, Lin Kang, et al.. (2020). RTID-07. HUMAN PLACENTAL HEMATOPOIETIC STEM CELL DERIVED NATURAL KILLER CELLS (CYNK-001) FOR TREATMENT OF RECURRENT GLIOBLASTOMA. Neuro-Oncology. 22(Supplement_2). ii194–ii195. 2 indexed citations
7.
Sheu, Tommy, Sarah A. Milgrom, T.Y. Andraos, et al.. (2018). Response-adapted radiation therapy for newly diagnosed primary diffuse large B-cell lymphoma of the CNS treated with methotrexate-based systemic therapy. Advances in Radiation Oncology. 3(4). 639–646. 6 indexed citations
8.
Kamiya-Matsuoka, Carlos, et al.. (2016). Posterior reversible encephalopathy syndrome in cancer patients: a single institution retrospective study. Journal of Neuro-Oncology. 128(1). 75–84. 33 indexed citations
9.
Vedantam, Aditya, Ping Hou, Linda Chi, Patrick M. Dougherty, & Ashwin Viswanathan. (2016). 118 Use of Spinal Cord Diffusion Tensor Imaging to Quantify Neural Ablation and Evaluate Outcome After Percutaneous Cordotomy for Intractable Cancer Pain. Neurosurgery. 63(Supplement 1). 149–150. 2 indexed citations
10.
Pinnix, Chelsea C., Linda Chi, Elias Jabbour, et al.. (2016). Dorsal column myelopathy after intrathecal chemotherapy for leukemia. American Journal of Hematology. 92(2). 155–160. 27 indexed citations
11.
Cachia, David, Carlos Kamiya-Matsuoka, Chelsea C. Pinnix, et al.. (2015). Myelopathy following intrathecal chemotherapy in adults: a single institution experience. Journal of Neuro-Oncology. 122(2). 391–398. 35 indexed citations
12.
Su, Po-Chyi, Zhong Xue, Linda Chi, Jianhua Yang, & Stephen T.C. Wong. (2012). Support vector machine (SVM) active learning for automated Glioblastoma segmentation. 598–601. 7 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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2026