Todd Maney

622 total citations · 1 hit paper
9 papers, 484 citations indexed

About

Todd Maney is a scholar working on Oncology, Cancer Research and Pathology and Forensic Medicine. According to data from OpenAlex, Todd Maney has authored 9 papers receiving a total of 484 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 4 papers in Cancer Research and 3 papers in Pathology and Forensic Medicine. Recurrent topics in Todd Maney's work include Cancer Genomics and Diagnostics (3 papers), Cancer Mechanisms and Therapy (2 papers) and Ovarian cancer diagnosis and treatment (2 papers). Todd Maney is often cited by papers focused on Cancer Genomics and Diagnostics (3 papers), Cancer Mechanisms and Therapy (2 papers) and Ovarian cancer diagnosis and treatment (2 papers). Todd Maney collaborates with scholars based in United States, Australia and France. Todd Maney's co-authors include Zoran Gatalica, Anatole Ghazalpour, Daniel D. Von Hoff, Semir Vranić, Omid Hamid, Carrie Snyder, Inga Rose, Gargi D. Basu, Henry T. Lynch and Daniel A. Holterman and has published in prestigious journals such as Journal of Clinical Oncology, Oncotarget and Frontiers in Pharmacology.

In The Last Decade

Todd Maney

7 papers receiving 480 citations

Hit Papers

Programmed Cell Death 1 (PD-1) and Its Ligand (PD-L1) in ... 2014 2026 2018 2022 2014 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Todd Maney United States 5 389 154 130 100 73 9 484
Inga Rose United States 5 367 0.9× 155 1.0× 121 0.9× 83 0.8× 53 0.7× 8 446
Pritesh Trivedi United Kingdom 11 189 0.5× 97 0.6× 83 0.6× 88 0.9× 139 1.9× 20 402
Véronique Cabaret France 9 392 1.0× 149 1.0× 90 0.7× 72 0.7× 158 2.2× 20 588
Sho Tachino Japan 5 258 0.7× 112 0.7× 104 0.8× 49 0.5× 58 0.8× 6 410
Sandeep Reddy United States 8 222 0.6× 44 0.3× 93 0.7× 138 1.4× 159 2.2× 18 458
Eriko Aimono Japan 12 192 0.5× 54 0.4× 128 1.0× 118 1.2× 84 1.2× 40 374
Huiqiang Huang China 11 236 0.6× 145 0.9× 55 0.4× 25 0.3× 60 0.8× 27 389
JT Chang United States 2 497 1.3× 193 1.3× 281 2.2× 215 2.1× 152 2.1× 5 689
Elena García-Martínez Spain 9 350 0.9× 223 1.4× 75 0.6× 68 0.7× 59 0.8× 19 473
Jonathan Derman France 6 300 0.8× 206 1.3× 128 1.0× 82 0.8× 63 0.9× 8 482

Countries citing papers authored by Todd Maney

Since Specialization
Citations

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

Fields of papers citing papers by Todd Maney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Todd Maney

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

All Works

9 of 9 papers shown
1.
Evans, M., Jennifer R. Ribeiro, Todd Maney, et al.. (2026). An AI Approach to Differentiating Lung Squamous Cell Carcinoma From Metastases of Other Origins. JAMA Network Open. 9(3). e260908–e260908.
2.
Ribeiro, Jennifer R., Todd Maney, Stephanie Rock, et al.. (2025). GPSai: A Clinically Validated AI Tool for Tissue of Origin Prediction during Routine Tumor Profiling. Cancer Research Communications. 5(9). 1477–1489. 1 indexed citations
3.
Evans, Elizabeth, Jim Abraham, Andrew Hinton, et al.. (2025). Whole-exome sequencing provides assessment of homologous recombination deficiency for identification of PARPi-responsive ovarian tumors. Gynecologic Oncology. 197. 139–145.
4.
Bagaria, Sanjay P., Zoran Gatalica, Todd Maney, et al.. (2018). Association Between Programmed Death-Ligand 1 Expression and the Vascular Endothelial Growth Factor Pathway in Angiosarcoma. Frontiers in Oncology. 8. 71–71. 22 indexed citations
5.
Herzog, Thomas J., David Spetzler, Todd Maney, et al.. (2016). Impact of molecular profiling on overall survival of patients with advanced ovarian cancer. Oncotarget. 7(15). 19840–19849. 15 indexed citations
6.
Xiu, Joanne, David Piccioni, Tiffany Juarez, et al.. (2016). Multi-platform molecular profiling of a large cohort of glioblastomas reveals potential therapeutic strategies. Oncotarget. 7(16). 21556–21569. 18 indexed citations
8.
Gatalica, Zoran, Carrie Snyder, Todd Maney, et al.. (2014). Programmed Cell Death 1 (PD-1) and Its Ligand (PD-L1) in Common Cancers and Their Correlation with Molecular Cancer Type. Cancer Epidemiology Biomarkers & Prevention. 23(12). 2965–2970. 416 indexed citations breakdown →
9.
Hoff, Daniel D. Von, Ramesh K. Ramanathan, Douglas B. Evans, et al.. (2012). Actionable targets in pancreatic cancer detected by immunohistochemistry (IHC), microarray (MA) fluorescent in situ hybridization (FISH), and mutational analysis.. Journal of Clinical Oncology. 30(15_suppl). 4013–4013. 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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