Susan N. Thomas

4.9k total citations · 1 hit paper
86 papers, 3.9k citations indexed

About

Susan N. Thomas is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Susan N. Thomas has authored 86 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Oncology, 29 papers in Immunology and 20 papers in Molecular Biology. Recurrent topics in Susan N. Thomas's work include Immunotherapy and Immune Responses (23 papers), Lymphatic System and Diseases (14 papers) and CAR-T cell therapy research (13 papers). Susan N. Thomas is often cited by papers focused on Immunotherapy and Immune Responses (23 papers), Lymphatic System and Diseases (14 papers) and CAR-T cell therapy research (13 papers). Susan N. Thomas collaborates with scholars based in United States, Switzerland and United Kingdom. Susan N. Thomas's co-authors include Melody A. Swartz, David M. Francis, Alex Schudel, Jeffrey A. Hubbell, Κωνσταντίνος Κωνσταντόπουλος, Nathan A. Rohner, Margaret P. Manspeaker, Amanda W. Lund, Meghan J. O’Melia and Lauren F. Sestito and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Susan N. Thomas

82 papers receiving 3.8k citations

Hit Papers

Material design for lymph node drug delivery 2019 2026 2021 2023 2019 100 200 300
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.

  1. Material design for lymph node drug delivery
    2019 373 citations Alex Schudel, David M. Francis et al. Nature Reviews Materials profile →

Peers

Susan N. Thomas
Michael S. Goldberg United States
Mary Jo Turk United States
Jennifer R. Cochran United States
Nick Devoogdt Belgium
Munitta Muthana United Kingdom
Ankur Singh United States
Gary L. Griffiths United States
Pin Wang United States
Guang‐Tao Yu China
Ivo Que Netherlands
Michael S. Goldberg United States
Susan N. Thomas
Citations per year, relative to Susan N. Thomas Susan N. Thomas (= 1×) peers Michael S. Goldberg

Countries citing papers authored by Susan N. Thomas

Since Specialization
Citations

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

Fields of papers citing papers by Susan N. Thomas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Susan N. Thomas. 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 Susan N. Thomas. The network helps show where Susan N. Thomas may publish in the future.

Co-authorship network of co-authors of Susan N. Thomas

This figure shows the co-authorship network connecting the top 25 collaborators of Susan N. Thomas. A scholar is included among the top collaborators of Susan N. Thomas 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 Susan N. Thomas. Susan N. Thomas 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.
2.
Kim, Jaehoon & Susan N. Thomas. (2024). Microengineered in vitro CAR T cell screens and assays. Cell Systems. 15(12). 1209–1224.
3.
4.
Alapan, Yunus, et al.. (2024). Single-cell adhesive profiling in an optofluidic device elucidates CD8+ T lymphocyte phenotypes in inflamed vasculature-like microenvironments. Cell Reports Methods. 4(4). 100743–100743. 1 indexed citations
5.
Kim, Jihoon, et al.. (2023). Sustained release hydrogel for durable locoregional chemoimmunotherapy for BRAF-mutated melanoma. Journal of Controlled Release. 357. 655–668. 15 indexed citations
6.
Alapan, Yunus, Lauren F. Sestito, Megha Khosla, et al.. (2023). Adhesion analysis via a tumor vasculature-like microfluidic device identifies CD8+ T cells with enhanced tumor homing to improve cell therapy. Cell Reports. 42(3). 112175–112175. 10 indexed citations
7.
O’Melia, Meghan J. & Susan N. Thomas. (2023). Lymphatics drain nanoparticles from tumours. Nature Materials. 22(11). 1287–1288. 3 indexed citations
8.
Archer, Paul A., Lauren F. Sestito, Margaret P. Manspeaker, et al.. (2021). Quantitation of lymphatic transport mechanism and barrier influences on lymph node-resident leukocyte access to lymph-borne macromolecules and drug delivery systems. Drug Delivery and Translational Research. 11(6). 2328–2343. 12 indexed citations
9.
Francis, David M., Margaret P. Manspeaker, Paul A. Archer, et al.. (2021). Drug-eluting immune checkpoint blockade antibody-nanoparticle conjugate enhances locoregional and systemic combination cancer immunotherapy through T lymphocyte targeting. Biomaterials. 279. 121184–121184. 16 indexed citations
10.
Francis, David M., Margaret P. Manspeaker, Alex Schudel, et al.. (2020). Blockade of immune checkpoints in lymph nodes through locoregional delivery augments cancer immunotherapy. Science Translational Medicine. 12(563). 176 indexed citations
11.
12.
Schudel, Alex, Mei‐Kwan Yau, Cody J. Higginson, et al.. (2020). Programmable multistage drug delivery to lymph nodes. Nature Nanotechnology. 15(6). 491–499. 121 indexed citations
13.
O’Melia, Meghan J., Nathan A. Rohner, Margaret P. Manspeaker, et al.. (2020). Quality of CD8 + T cell immunity evoked in lymph nodes is compartmentalized by route of antigen transport and functional in tumor context. Science Advances. 6(50). 31 indexed citations
14.
Schudel, Alex, David M. Francis, & Susan N. Thomas. (2019). Material design for lymph node drug delivery. Nature Reviews Materials. 4(6). 415–428. 373 indexed citations breakdown →
15.
O’Melia, Meghan J., Janna K. Mouw, Erin E. Edwards, et al.. (2019). Analyzing Mechanisms of Metastatic Cancer Cell Adhesive Phenotype Leveraging Preparative Adhesion Chromatography Microfluidic. Advanced Biosystems. 3(3). 10 indexed citations
16.
Sestito, Lauren F. & Susan N. Thomas. (2019). Biomaterials for Modulating Lymphatic Function in Immunoengineering. ACS Pharmacology & Translational Science. 2(5). 293–310. 16 indexed citations
17.
Palao‐Suay, Raquel, María Rosa Aguilar, Sergio Martín‐Saldaña, et al.. (2017). Multifunctional decoration of alpha-tocopheryl succinate-based NP for cancer treatment: effect of TPP and LTVSPWY peptide. Journal of Materials Science Materials in Medicine. 28(10). 152–152. 4 indexed citations
18.
Edwards, Erin E. & Susan N. Thomas. (2017). P-Selectin and ICAM-1 synergy in mediating THP-1 monocyte adhesion in hemodynamic flow is length dependent. Integrative Biology. 9(4). 313–327. 12 indexed citations
19.
Suo, Jin, et al.. (2016). Force and torque on spherical particles in micro-channel flows using computational fluid dynamics. Royal Society Open Science. 3(7). 160298–160298. 5 indexed citations
20.
Duffy, SW, James Mackay, Susan N. Thomas, et al.. (2013). Evaluation of mammographic surveillance services in women aged 40–49 years with a moderate family history of breast cancer: a single-arm cohort study. Health Technology Assessment. 17(11). vii–xiv, 1. 12 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Michael S. Goldberg Breakdown of academic impact, for papers by Mary Jo Turk Breakdown of academic impact, for papers by Jennifer R. Cochran Breakdown of academic impact, for papers by Nick Devoogdt Breakdown of academic impact, for papers by Munitta Muthana Breakdown of academic impact, for papers by Ankur Singh Breakdown of academic impact, for papers by Gary L. Griffiths Breakdown of academic impact, for papers by Pin Wang Breakdown of academic impact, for papers by Guang‐Tao Yu Breakdown of academic impact, for papers by Ivo Que
Rankless by CCL
2026