Daniel K. Wells

7.3k total citations · 3 hit papers
23 papers, 1.8k citations indexed

About

Daniel K. Wells is a scholar working on Oncology, Immunology and Cancer Research. According to data from OpenAlex, Daniel K. Wells has authored 23 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Oncology, 7 papers in Immunology and 6 papers in Cancer Research. Recurrent topics in Daniel K. Wells's work include Cancer Immunotherapy and Biomarkers (7 papers), CAR-T cell therapy research (6 papers) and Cancer Genomics and Diagnostics (5 papers). Daniel K. Wells is often cited by papers focused on Cancer Immunotherapy and Biomarkers (7 papers), CAR-T cell therapy research (6 papers) and Cancer Genomics and Diagnostics (5 papers). Daniel K. Wells collaborates with scholars based in United States, United Kingdom and Australia. Daniel K. Wells's co-authors include Ansuman T. Satpathy, Kathryn E. Yost, Howard Y. Chang, Samantha Bucktrout, Christina Curtis, Rohit Gupta, Kavita Y. Sarin, Ryanne A. Brown, Yanyan Qi and Jeffrey M. Granja and has published in prestigious journals such as Nature Medicine, Nature Immunology and American Journal of Respiratory and Critical Care Medicine.

In The Last Decade

Daniel K. Wells

23 papers receiving 1.8k citations

Hit Papers

Clonal replacement of tumor-specific T cells following PD... 2019 2026 2021 2023 2019 2020 2023 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel K. Wells United States 11 1.0k 961 461 264 208 23 1.8k
Shishang Qin China 12 943 0.9× 1.1k 1.2× 944 2.0× 242 0.9× 353 1.7× 18 2.1k
Daniel Klevebring Sweden 17 351 0.3× 394 0.4× 813 1.8× 260 1.0× 442 2.1× 26 1.6k
Maria L. Henriksson Sweden 15 757 0.7× 503 0.5× 548 1.2× 136 0.5× 182 0.9× 17 1.4k
Xiang Zheng China 24 503 0.5× 660 0.7× 893 1.9× 149 0.6× 512 2.5× 60 1.8k
Yael Baran Israel 10 533 0.5× 621 0.6× 1.2k 2.6× 96 0.4× 209 1.0× 14 2.0k
Elise Alspach United States 14 679 0.7× 856 0.9× 632 1.4× 147 0.6× 210 1.0× 19 1.7k
Sagar Chhangawala United States 14 338 0.3× 710 0.7× 876 1.9× 233 0.9× 381 1.8× 21 1.8k
Luca Albergante United Kingdom 10 526 0.5× 365 0.4× 629 1.4× 83 0.3× 213 1.0× 15 1.2k
Christer Larsson Sweden 20 609 0.6× 266 0.3× 1.1k 2.3× 172 0.7× 545 2.6× 38 1.9k
Helena Harlin United States 16 1.3k 1.3× 1.6k 1.7× 742 1.6× 114 0.4× 185 0.9× 25 2.4k

Countries citing papers authored by Daniel K. Wells

Since Specialization
Citations

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

Fields of papers citing papers by Daniel K. Wells

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel K. Wells

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel K. Wells. A scholar is included among the top collaborators of Daniel K. 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 Daniel K. Wells. Daniel K. 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.
Wells, Daniel K., et al.. (2023). Current state and future perspectives of commercial strawberry production: A review. Scientia Horticulturae. 312. 111893–111893. 98 indexed citations breakdown →
2.
Campbell, Katie M., Shannon M. Pfeiffer, Timothy R. Howes, et al.. (2023). Prior anti-CTLA-4 therapy impacts molecular characteristics associated with anti-PD-1 response in advanced melanoma. Cancer Cell. 41(4). 791–806.e4. 50 indexed citations
3.
Salazar-Gutiérrez, Melba, et al.. (2023). Model Development of the Phenological Cycle from Flower to Fruit of Strawberries (Fragaria × ananassa). Agronomy. 13(10). 2489–2489. 5 indexed citations
4.
Meier, Stefanie L., Ansuman T. Satpathy, & Daniel K. Wells. (2022). Bystander T cells in cancer immunology and therapy. Nature Cancer. 3(2). 143–155. 80 indexed citations
5.
Friedman, Claire F., Christine N. Spencer, Christopher R. Cabanski, et al.. (2022). Ipilimumab alone or in combination with nivolumab in patients with advanced melanoma who have progressed or relapsed on PD-1 blockade: clinical outcomes and translational biomarker analyses. Journal for ImmunoTherapy of Cancer. 10(1). e003853–e003853. 30 indexed citations
6.
Wells, Daniel K., et al.. (2022). Tocilizumab Versus Baricitinib in Patients Hospitalized With COVID-19 Pneumonia and Hypoxemia: A Multicenter Retrospective Cohort Study. Critical Care Explorations. 4(5). e0702–e0702. 8 indexed citations
7.
Prior, Stephen A., G. Brett Runion, N. S. Wall, et al.. (2022). Direct Greenhouse Gas Emissions From a Pilot-Scale Aquaponics System. Journal of the ASABE. 65(6). 1211–1223. 4 indexed citations
8.
Cario, Clinton L., César Márquez, Imelda Tenggara, et al.. (2021). Cell-Free DNA Detection of Tumor Mutations in Heterogeneous, Localized Prostate Cancer Via Targeted, Multiregion Sequencing. JCO Precision Oncology. 5(5). 710–725. 7 indexed citations
9.
Vardhana, Santosha A., Madeline A. Hwee, Mirela Berisa, et al.. (2020). Impaired mitochondrial oxidative phosphorylation limits the self-renewal of T cells exposed to persistent antigen. Nature Immunology. 21(9). 1022–1033. 343 indexed citations breakdown →
10.
Rutella, Sergio, Michael A. Cannarile, Sacha Gnjatic, et al.. (2020). Society for Immunotherapy of Cancer clinical and biomarkers data sharing resource document: Volume I—conceptual challenges. Journal for ImmunoTherapy of Cancer. 8(2). e001389–e001389. 10 indexed citations
11.
Cesano, Alessandra, Michael A. Cannarile, Sacha Gnjatic, et al.. (2020). Society for Immunotherapy of Cancer clinical and biomarkers data sharing resource document: Volume II—practical challenges. Journal for ImmunoTherapy of Cancer. 8(2). e001472–e001472. 5 indexed citations
12.
Hu‐Lieskovan, Siwen, Aaron Lisberg, Jesse M. Zaretsky, et al.. (2019). Tumor Characteristics Associated with Benefit from Pembrolizumab in Advanced Non–Small Cell Lung Cancer. Clinical Cancer Research. 25(16). 5061–5068. 56 indexed citations
13.
Spencer, Christine N., Daniel K. Wells, & Theresa LaVallee. (2019). It Is a Capital Mistake to Theorize Who to Treat with Checkpoint Inhibitors before One Has Data. Trends in cancer. 5(2). 79–82. 4 indexed citations
14.
Yost, Kathryn E., Ansuman T. Satpathy, Daniel K. Wells, et al.. (2019). Clonal replacement of tumor-specific T cells following PD-1 blockade. Nature Medicine. 25(8). 1251–1259. 876 indexed citations breakdown →
15.
Wells, Daniel K., William L. Kath, & Adilson E. Motter. (2015). Control of Stochastic and Induced Switching in Biophysical Networks. Physical Review X. 5(3). 60 indexed citations
16.
Wells, Daniel K., et al.. (2015). Spatial and Functional Heterogeneities Shape Collective Behavior of Tumor-Immune Networks. PLoS Computational Biology. 11(4). e1004181–e1004181. 27 indexed citations
17.
Blackman, Scott M., Amanda E. Nelson, Daniel K. Wells, et al.. (2014). Diabetes-related Mortality in Adults with Cystic Fibrosis. Role of Genotype and Sex. American Journal of Respiratory and Critical Care Medicine. 191(2). 194–200. 139 indexed citations
18.
Nabney, Ian T., et al.. (2012). Helicopter vibration sensor selection using data visualisation. Explore Bristol Research. 1–6. 2 indexed citations
19.
Wells, Daniel K., et al.. (2009). Automated Image Processing of X-Radiographics of Digestion in Stingrays.. International Conference on Artificial Intelligence. 69(4). 715–719. 1 indexed citations
20.
Foreman, Nicholas K., et al.. (2005). Gefitinib is effective against juvenile pilocytic astrocytoma in vitro. Pediatric Blood & Cancer. 47(3). 293–298. 4 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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