Lindsay Scheetz

707 total citations
9 papers, 577 citations indexed

About

Lindsay Scheetz is a scholar working on Immunology, Oncology and Biomaterials. According to data from OpenAlex, Lindsay Scheetz has authored 9 papers receiving a total of 577 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 6 papers in Oncology and 2 papers in Biomaterials. Recurrent topics in Lindsay Scheetz's work include Immunotherapy and Immune Responses (7 papers), Cancer Immunotherapy and Biomarkers (4 papers) and Nanoparticle-Based Drug Delivery (2 papers). Lindsay Scheetz is often cited by papers focused on Immunotherapy and Immune Responses (7 papers), Cancer Immunotherapy and Biomarkers (4 papers) and Nanoparticle-Based Drug Delivery (2 papers). Lindsay Scheetz collaborates with scholars based in United States, China and Germany. Lindsay Scheetz's co-authors include James J. Moon, Anna Schwendeman, María G. Castro, Pedro R. Löwenstein, Qiao Li, Yao Xu, Kyong Soo Park, Alireza Hassani Najafabadi, Lukasz J. Ochyl and Xiaoqi Sun and has published in prestigious journals such as Nano Letters, Clinical Cancer Research and ACS Applied Materials & Interfaces.

In The Last Decade

Lindsay Scheetz

9 papers receiving 574 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lindsay Scheetz United States	9	326	248	221	172	123	9	577
Sha Qiao China	9	414 1.3×	232 0.9×	281 1.3×	168 1.0×	99 0.8×	15	644
Amani Makkouk United States	11	445 1.4×	242 1.0×	259 1.2×	357 2.1×	114 0.9×	20	839
Sandra Torregrosa‐Allen United States	14	190 0.6×	205 0.8×	217 1.0×	181 1.1×	140 1.1×	26	657
Hyunjoon Kim United States	14	272 0.8×	210 0.8×	214 1.0×	133 0.8×	141 1.1×	22	616
Liane Babes Canada	7	238 0.7×	191 0.8×	214 1.0×	108 0.6×	197 1.6×	11	660
Ragy Ragheb United States	7	374 1.1×	286 1.2×	391 1.8×	260 1.5×	234 1.9×	7	823
Matthew Lin United States	6	524 1.6×	340 1.4×	288 1.3×	387 2.3×	101 0.8×	10	899
Erica N. Bozeman United States	13	211 0.6×	209 0.8×	161 0.7×	176 1.0×	121 1.0×	20	524
Shozo Ohtsuki United States	15	346 1.1×	345 1.4×	152 0.7×	116 0.7×	67 0.5×	20	754
Ting Su China	11	530 1.6×	324 1.3×	270 1.2×	185 1.1×	109 0.9×	21	784

Countries citing papers authored by Lindsay Scheetz

Since Specialization

Citations

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

Fields of papers citing papers by Lindsay Scheetz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lindsay Scheetz

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

All Works

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9 of 9 papers shown

Scheetz, Lindsay, Minzhi Yu, Dan Li, et al.. (2020). Synthetic HDL Nanoparticles Delivering Docetaxel and CpG for Chemoimmunotherapy of Colon Adenocarcinoma. International Journal of Molecular Sciences. 21(5). 1777–1777. 29 indexed citations

Son, Sejin, Jutaek Nam, Lukasz J. Ochyl, et al.. (2020). Sugar-Nanocapsules Imprinted with Microbial Molecular Patterns for mRNA Vaccination. Nano Letters. 20(3). 1499–1509. 80 indexed citations

Garcia-Fabiani, María Belén, Andrea Comba, Marianela Candolfi, et al.. (2020). Immunotherapy for gliomas: shedding light on progress in preclinical and clinical development. Expert Opinion on Investigational Drugs. 29(7). 659–684. 17 indexed citations

Scheetz, Lindsay, Padma Kadiyala, Xiaoqi Sun, et al.. (2020). Synthetic High-density Lipoprotein Nanodiscs for Personalized Immunotherapy Against Gliomas. Clinical Cancer Research. 26(16). 4369–4380. 64 indexed citations

Kuai, Rui, Xiaoqi Sun, Cheng Xu, et al.. (2020). Robust Anti‐Tumor T Cell Response with Efficient Intratumoral Infiltration by Nanodisc Cancer Immunotherapy. Advanced Therapeutics. 3(9). 19 indexed citations

Najafabadi, Alireza Hassani, Jing Zhang, Marisa Aikins, et al.. (2020). Cancer Immunotherapy via Targeting Cancer Stem Cells Using Vaccine Nanodiscs. Nano Letters. 20(10). 7783–7792. 66 indexed citations

Scheetz, Lindsay, Kyong Soo Park, Qiao Li, et al.. (2019). Engineering patient-specific cancer immunotherapies. Nature Biomedical Engineering. 3(10). 768–782. 166 indexed citations

Kuai, Rui, Xiaoqi Sun, Wenmin Yuan, et al.. (2018). Dual TLR agonist nanodiscs as a strong adjuvant system for vaccines and immunotherapy. Journal of Controlled Release. 282. 131–139. 110 indexed citations

Chen, Mingsheng, et al.. (2018). Size-Controlled Iron Oxide Nanoplatforms with Lipidoid-Stabilized Shells for Efficient Magnetic Resonance Imaging-Trackable Lymph Node Targeting and High-Capacity Biomolecule Display. ACS Applied Materials & Interfaces. 10(24). 20281–20295. 26 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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