James W. Wells

6.2k total citations
153 papers, 4.8k citations indexed

About

James W. Wells is a scholar working on Molecular Biology, Immunology and Cellular and Molecular Neuroscience. According to data from OpenAlex, James W. Wells has authored 153 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Molecular Biology, 52 papers in Immunology and 29 papers in Cellular and Molecular Neuroscience. Recurrent topics in James W. Wells's work include Receptor Mechanisms and Signaling (43 papers), Immunotherapy and Immune Responses (38 papers) and Neuropeptides and Animal Physiology (19 papers). James W. Wells is often cited by papers focused on Receptor Mechanisms and Signaling (43 papers), Immunotherapy and Immune Responses (38 papers) and Neuropeptides and Animal Physiology (19 papers). James W. Wells collaborates with scholars based in Australia, Canada and United States. James W. Wells's co-authors include K A Wreggett, Paul S.‐H. Park, Robert Wendel, Thomas C. Salzano, Raymond J. Steptoe, N. Kelly, Ji‐Won Jung, Nana Haahr Overgaard, Arun Patel and Gary D. Novack and has published in prestigious journals such as The Lancet, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

James W. Wells

149 papers receiving 4.6k citations

Peers

James W. Wells
Tomoyuki Inoue Japan
Carlo Tacchetti Italy
Toshimichi Shinohara United States
Christopher J. Guérin United States
Eric F. Wawrousek United States
Jacek Majewski Canada
Clare E. Futter United Kingdom
Thomas B. Shows United States
Jeffrey L. Goldberg United States
Claude Boucheix France
Tomoyuki Inoue Japan
James W. Wells
Citations per year, relative to James W. Wells James W. Wells (= 1×) peers Tomoyuki Inoue

Countries citing papers authored by James W. Wells

Since Specialization
Citations

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

Fields of papers citing papers by James W. Wells

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James W. Wells. 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 James W. Wells. The network helps show where James W. Wells may publish in the future.

Co-authorship network of co-authors of James W. Wells

This figure shows the co-authorship network connecting the top 25 collaborators of James W. Wells. A scholar is included among the top collaborators of James W. Wells 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 James W. Wells. James W. Wells 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.
Wang, Wanyi, Jazmina L. Gonzalez Cruz, Ahmed O. Shalash, et al.. (2025). A synthetic cyclic peptide for promoting antigen presentation and immune activation. npj Vaccines. 10(1). 9–9.
2.
Wells, James W., et al.. (2024). Utilizing murine dendritic cell line DC2.4 to evaluate the immunogenicity of subunit vaccines in vitro. Frontiers in Immunology. 15. 1298721–1298721. 9 indexed citations
3.
Wright, Quentin G., Debottam Sinha, James W. Wells, et al.. (2024). Peritumoral administration of immunomodulatory antibodies as a triple combination suppresses skin tumor growth without systemic toxicity. Journal for ImmunoTherapy of Cancer. 12(1). e007960–e007960. 2 indexed citations
4.
Chew, Hui Yi, et al.. (2024). Arginase-induced cell death pathways and metabolic changes in cancer cells are not altered by insulin. Scientific Reports. 14(1). 4112–4112. 2 indexed citations
5.
Zeng, Zhen, Helen Rizos, Riccardo Dolcetti, et al.. (2023). Checkpoint kinase 1 inhibitor + low‐dose hydroxyurea efficiently kills BRAF inhibitor‐ and immune checkpoint inhibitor‐resistant melanomas. Pigment Cell & Melanoma Research. 37(1). 45–50. 2 indexed citations
6.
7.
Bartlett, Stacey, Waleed M. Hussein, Quentin G. Wright, et al.. (2023). Liposomal Formulations of a Polyleucine–Antigen Conjugate as Therapeutic Vaccines against Cervical Cancer. Pharmaceutics. 15(2). 602–602. 13 indexed citations
8.
Cruz, Jazmina L. Gonzalez, Bijun Zeng, Muhammed B. Sabdia, et al.. (2021). Targeting Replication Stress Using CHK1 Inhibitor Promotes Innate and NKT Cell Immune Responses and Tumour Regression. Cancers. 13(15). 3733–3733. 13 indexed citations
9.
Wright, Quentin G., Rahul Ladwa, Christopher Perry, et al.. (2021). Evolution of Cancer Vaccines—Challenges, Achievements, and Future Directions. Vaccines. 9(5). 535–535. 50 indexed citations
10.
Skwarczyński, Mariusz, Jennifer C. Boer, Victoria Ozberk, et al.. (2020). Poly(amino acids) as a potent self-adjuvanting delivery system for peptide-based nanovaccines. Science Advances. 6(5). eaax2285–eaax2285. 90 indexed citations
11.
Tuong, Zewen Kelvin, Jennifer A. Bridge, Jazmina L. Gonzalez Cruz, et al.. (2019). Cytokine/chemokine profiles in squamous cell carcinoma correlate with precancerous and cancerous disease stage. Scientific Reports. 9(1). 17754–17754. 15 indexed citations
12.
Joseph, Shannon R., Rachael Barry, Blerida Banushi, et al.. (2018). An Ex Vivo Human Tumor Assay Shows Distinct Patterns of EGFR Trafficking in Squamous Cell Carcinoma Correlating to Therapeutic Outcomes. Journal of Investigative Dermatology. 139(1). 213–223. 17 indexed citations
13.
Jung, Ji‐Won, Jennifer A. Bridge, Nana Haahr Overgaard, et al.. (2018). Clinically-Relevant Rapamycin Treatment Regimens Enhance CD8+Effector Memory T Cell Function In The Skin and Allow their Infiltration into Cutaneous Squamous Cell Carcinoma. OncoImmunology. 7(9). e1479627–e1479627. 30 indexed citations
14.
Tóth, István, Mattaka Khongkow, Stacey Bartlett, et al.. (2018). Liposomal formulation of polyacrylate-peptide conjugate as a new vaccine candidate against cervical cancer. SHILAP Revista de lepidopterología. 1(3). 183–193. 12 indexed citations
15.
Evans, Christopher H., Fangjun Liu, Ryan M. Porter, et al.. (2012). EWS-FLI-1-Targeted Cytotoxic T-cell Killing of Multiple Tumor Types Belonging to the Ewing Sarcoma Family of Tumors. Clinical Cancer Research. 18(19). 5341–5351. 39 indexed citations
16.
Ma, Dengbo, et al.. (2011). Cleavage-resistant fusion proteins of the M2 muscarinic receptor and Gαi1. Homotropic and heterotropic effects in the binding of ligands. Biochimica et Biophysica Acta (BBA) - General Subjects. 1810(6). 592–602. 2 indexed citations
17.
Porter, Ryan M., Alan Ivković, James W. Wells, et al.. (2008). Characterization and utilization of mesenchymal progenitor cells recovered with the Reamer-irrigator-aspirator. Queensland's institutional digital repository (The University of Queensland). 2 indexed citations
18.
Evans, C. H., Vaida Glatt, James W. Wells, et al.. (2008). Expedited strategies for the restoration of bone. Queensland's institutional digital repository (The University of Queensland). 4 indexed citations
19.
Wells, James W., Christopher Cowled, Farzin Farzaneh, & Alistair Noble. (2008). Combined Triggering of Dendritic Cell Receptors Results in Synergistic Activation and Potent Cytotoxic Immunity. The Journal of Immunology. 181(5). 3422–3431. 49 indexed citations
20.
Wells, James W.. (1983). Mechanistic interpretation of radio ligand binding patterns at neuro humoral receptors. Journal of Neurochemistry. 41. 162. 1 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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