Caitlin Harris

487 total citations · 1 hit paper
7 papers, 207 citations indexed

About

Caitlin Harris is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Caitlin Harris has authored 7 papers receiving a total of 207 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Oncology, 4 papers in Immunology and 2 papers in Molecular Biology. Recurrent topics in Caitlin Harris's work include CAR-T cell therapy research (4 papers), Nanowire Synthesis and Applications (2 papers) and Biosimilars and Bioanalytical Methods (2 papers). Caitlin Harris is often cited by papers focused on CAR-T cell therapy research (4 papers), Nanowire Synthesis and Applications (2 papers) and Biosimilars and Bioanalytical Methods (2 papers). Caitlin Harris collaborates with scholars based in United States, Argentina and South Korea. Caitlin Harris's co-authors include Yvonne Y. Chen, Mobina Khericha, Cristina Puig-Saus, Catherine A. Brennan, Kwang‐Min Choe, Rodrigo Sieira, Jennifer S. Fernandez, Verónica Jiménez, Robert A. Bonomo and Nikolas Nikolaidis and has published in prestigious journals such as The Journal of Experimental Medicine, Journal of Clinical Oncology and Cancer Research.

In The Last Decade

Caitlin Harris

6 papers receiving 203 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

CAR-T cell manufacturing: Major process parameters and next-generation strategies

2024 114 citations Mobina Khericha, Caitlin Harris et al. The Journal of Experimental Medicine profile →

Peers

Caitlin Harris

ONCOL

MB

IMMUN

BE

GENET

Xiangxue Guo United States

Sofia Côrte‐Real Portugal

Benjamin R. Leadem United States

Kasper Mikkelsen Denmark

Joshua K. Stone United States

Wanping Sun China

Justin R. Kaspar United States

Katayoon Atabakhsh United States

Wen Fong Ooi Singapore

Carolina Gándara Spain

Xiangxue Guo United States

Caitlin Harris

46 ×0.4

ONCOL

154 ×2.0

MB

20 ×0.3

IMMUN

40 ×1.0

BE

62 ×1.6

GENET

Citations per year, relative to Caitlin Harris Caitlin Harris (= 1×) peers Xiangxue Guo

Countries citing papers authored by Caitlin Harris

Since Specialization

Citations

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

Fields of papers citing papers by Caitlin Harris

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Caitlin Harris

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

All Works

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7 of 7 papers shown

1.

Khericha, Mobina, et al.. (2024). CAR-T cell manufacturing: Major process parameters and next-generation strategies. The Journal of Experimental Medicine. 221(2). 114 indexed citations breakdown →

2.

Lin, Meng-Yin, et al.. (2024). Self-regulating CAR-T cells modulate cytokine release syndrome in adoptive T-cell therapy. The Journal of Experimental Medicine. 221(6). 16 indexed citations

3.

Larson, Sarah M., Christopher M. Walthers, Jacob Naparstek, et al.. (2022). CD19/CD20 bispecific chimeric antigen receptor (CAR) in naïve/memory T cells for the treatment of relapsed or refractory non-Hodgkin lymphoma.. Journal of Clinical Oncology. 40(16_suppl). 2543–2543. 6 indexed citations

4.

Walthers, Christopher M., Jacob Naparstek, Caitlin Harris, et al.. (2021). Abstract CT007: CD19/CD20 bispecific chimeric antigen receptor (CAR) in naive/memory T-cells for the treatment of relapsed or refractory B-cell lymphomas. Cancer Research. 81(13_Supplement). CT007–CT007. 2 indexed citations

5.

Kurzawa‐Akanbi, Marzena, Long Xie, Dean Hallam, et al.. (2020). Complement modulation reverses pathology in Y402H-retinal pigment epithelium cell model of AMD by restoring lysosomal function. Stem Cells Translational Medicine.

6.

Harris, Caitlin, Jennifer S. Fernandez, Verónica Jiménez, et al.. (2019). Human Pleural Fluid Elicits Pyruvate and Phenylalanine Metabolism in Acinetobacter baumannii to Enhance Cytotoxicity and Immune Evasion. Frontiers in Microbiology. 10. 1581–1581. 29 indexed citations

7.

Harris, Caitlin, et al.. (2018). Inflammatory production of reactive oxygen species by Drosophila hemocytes activates cellular immune defenses. Biochemical and Biophysical Research Communications. 505(3). 726–732. 40 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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