Alexander Stafford

1.4k total citations
16 papers, 1.1k citations indexed

About

Alexander Stafford is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Alexander Stafford has authored 16 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 5 papers in Molecular Biology and 4 papers in Oncology. Recurrent topics in Alexander Stafford's work include Immunotherapy and Immune Responses (6 papers), Hydrogels: synthesis, properties, applications (3 papers) and 3D Printing in Biomedical Research (3 papers). Alexander Stafford is often cited by papers focused on Immunotherapy and Immune Responses (6 papers), Hydrogels: synthesis, properties, applications (3 papers) and 3D Printing in Biomedical Research (3 papers). Alexander Stafford collaborates with scholars based in United States, Germany and Israel. Alexander Stafford's co-authors include David Mooney, Kyle H. Vining, Maxence O. Dellacherie, Sandeep T. Koshy, Aileen W. Li, Joshua M. Grolman, David Zhang, Kai W. Wucherpfennig, Miguel C. Sobral and James C. Weaver and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Nature Materials.

In The Last Decade

Alexander Stafford

16 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alexander Stafford United States 12 485 474 351 232 229 16 1.1k
Ting‐Yu Shih United States 14 724 1.5× 597 1.3× 473 1.3× 365 1.6× 252 1.1× 28 1.4k
Loek J. Eggermont United States 15 365 0.8× 489 1.0× 307 0.9× 248 1.1× 342 1.5× 22 1.2k
Aereas Aung United States 15 234 0.5× 704 1.5× 322 0.9× 270 1.2× 199 0.9× 26 1.3k
Roel Hammink Netherlands 17 208 0.4× 444 0.9× 244 0.7× 207 0.9× 272 1.2× 37 1.0k
Alexander J. Najibi United States 14 316 0.7× 375 0.8× 244 0.7× 216 0.9× 141 0.6× 18 824
Maxence O. Dellacherie United States 12 603 1.2× 513 1.1× 426 1.2× 340 1.5× 150 0.7× 13 1.1k
Yu-Chieh Chiu United States 18 421 0.9× 524 1.1× 363 1.0× 93 0.4× 357 1.6× 20 1.2k
Deen Bhatta United States 5 251 0.5× 660 1.4× 271 0.8× 132 0.6× 443 1.9× 8 1.3k
Talar Tokatlian United States 15 684 1.4× 533 1.1× 726 2.1× 274 1.2× 381 1.7× 23 1.6k
Sarah A. Lewin United States 16 866 1.8× 833 1.8× 586 1.7× 528 2.3× 490 2.1× 18 2.0k

Countries citing papers authored by Alexander Stafford

Since Specialization
Citations

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

Fields of papers citing papers by Alexander Stafford

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexander Stafford

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

All Works

16 of 16 papers shown
1.
Hodi, F. Stephen, Anita Giobbie‐Hurder, Kwasi Adu‐Berchie, et al.. (2025). First-in-Human Clinical Trial of Vaccination with WDVAX, a Dendritic Cell–Activating Scaffold Incorporating Autologous Tumor Cell Lysate, in Patients with Metastatic Melanoma. Cancer Immunology Research. 13(7). 978–989. 5 indexed citations
2.
Adu‐Berchie, Kwasi, Joshua M. Brockman, Yutong Liu, et al.. (2023). Adoptive T cell transfer and host antigen-presenting cell recruitment with cryogel scaffolds promotes long-term protection against solid tumors. Nature Communications. 14(1). 3546–3546. 32 indexed citations
3.
Contreras, Mauricio, Alexander Stafford, David Mooney, et al.. (2023). Perivascular CLICK ‐gelatin delivery of thrombospondin‐2 small interfering RNA decreases development of intimal hyperplasia after arterial injury. The FASEB Journal. 38(1). e23321–e23321. 2 indexed citations
4.
Vining, Kyle H., Anna E. Marneth, Kwasi Adu‐Berchie, et al.. (2022). Mechanical checkpoint regulates monocyte differentiation in fibrotic niches. Nature Materials. 21(8). 939–950. 55 indexed citations
5.
Najibi, Alexander J., Maxence O. Dellacherie, Ting‐Yu Shih, et al.. (2022). Scaffold Vaccines for Generating Robust and Tunable Antibody Responses. Advanced Functional Materials. 32(16). 23 indexed citations
6.
McBride, David A., Alexander J. Najibi, Bo Ri Seo, et al.. (2022). Immune‐responsive biodegradable scaffolds for enhancing neutrophil regeneration. Bioengineering & Translational Medicine. 8(1). e10309–e10309. 8 indexed citations
7.
Berger, Gilles, Erik H. Knelson, Michal O. Nowicki, et al.. (2022). STING activation promotes robust immune response and NK cell–mediated tumor regression in glioblastoma models. Proceedings of the National Academy of Sciences. 119(28). e2111003119–e2111003119. 109 indexed citations
8.
Vining, Kyle H., Anna E. Marneth, Kwasi Adu‐Berchie, et al.. (2021). Mechanical Checkpoint Regulates Monocyte Differentiation in Fibrotic Matrix. Blood. 138(Supplement 1). 2539–2539. 2 indexed citations
9.
Dellacherie, Maxence O., Aileen W. Li, Caroline S. Verbeke, et al.. (2020). Single‐Shot Mesoporous Silica Rods Scaffold for Induction of Humoral Responses Against Small Antigens. Advanced Functional Materials. 30(38). 38 indexed citations
10.
Vining, Kyle H., Alexander Stafford, & David Mooney. (2018). Sequential modes of crosslinking tune viscoelasticity of cell-instructive hydrogels. Biomaterials. 188. 187–197. 112 indexed citations
11.
Li, Aileen W., Miguel C. Sobral, S Badrinath, et al.. (2018). A facile approach to enhance antigen response for personalized cancer vaccination. Nature Materials. 17(6). 528–534. 340 indexed citations
12.
Li, Jianyu, Eckhard Weber, Sabine Guth, et al.. (2018). Tough Composite Hydrogels with High Loading and Local Release of Biological Drugs. Advanced Healthcare Materials. 7(9). e1701393–e1701393. 69 indexed citations
13.
Lueckgen, Aline, Daniela S. Garske, Agnes Ellinghaus, et al.. (2018). Hydrolytically-degradable click-crosslinked alginate hydrogels. Biomaterials. 181. 189–198. 93 indexed citations
14.
Koshy, Sandeep T., David Zhang, Joshua M. Grolman, Alexander Stafford, & David Mooney. (2017). Injectable nanocomposite cryogels for versatile protein drug delivery. Acta Biomaterialia. 65. 36–43. 138 indexed citations
15.
Anderson, Erin M., Eduardo A. Silva, Yibai Hao, et al.. (2017). VEGF and IGF Delivered from Alginate Hydrogels Promote Stable Perfusion Recovery in Ischemic Hind Limbs of Aged Mice and Young Rabbits. Journal of Vascular Research. 54(5). 288–298. 30 indexed citations
16.
Cheung, Alexander S., Sandeep T. Koshy, Alexander Stafford, Maartje M. C. Bastings, & David Mooney. (2016). Adjuvant‐Loaded Subcellular Vesicles Derived From Disrupted Cancer Cells for Cancer Vaccination. Small. 12(17). 2321–2333. 37 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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