Todd Maney

622 citations
9 papers · 484 indexed · 1 hit paper · h-index 5

Impact in

  • Oncology top 10%
    • Cancer Immunotherapy and Biomarkers
    • Cancer Cells and Metastasis
    • CAR-T cell therapy research
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction

Papers in

Todd Maney

7 papers receiving 480 citations

Hit Papers

Programmed Cell Death 1 (PD-1) and Its Ligand (PD-L1) in Common Cancers and Their Correlation with Molecular Cancer Type 2014 · 416 citations
4162014202620182022100200300400

Peers

Todd Maney
Comparison fields: 5 of 51
  • Oncology 389
  • Immunology 154
  • Cancer Research 100
  • Pulmonary and Respiratory Medicine 130
  • Pathology and Forensic Medicine 67
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Sho Tachino Japan
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Todd Maney relative to Inga Rose United States Inga Rose's profile →
Citations per field
00.5×1.5×
Inga Rose · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Todd Maney, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Todd Maney Line = papers co-authored together Todd Maney links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1
Programmed Cell Death 1 (PD-1) and Its Ligand (PD-L1) in Common Cancers and Their Correlation with Molecular Cancer Type
Hit paper breakdown →
2014416
2 201822
3 201618
4 201615
5 20148
6 20124
7 20251
8 20250
9 20260

About Todd Maney

Todd Maney is a scholar working on Cancer Research, Reproductive Medicine, Oncology, Pathology and Forensic Medicine and Statistics and Probability, having authored 9 papers that have together received 484 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (3 papers), Cancer Mechanisms and Therapy (2 papers), Ovarian cancer diagnosis and treatment (2 papers), Lymphoma Diagnosis and Treatment (1 paper), Computational Drug Discovery Methods (1 paper), Vascular Tumors and Angiosarcomas (1 paper), Pancreatic and Hepatic Oncology Research (1 paper) and DNA Repair Mechanisms (1 paper). The work is most often cited by research in Oncology (389 citations), Immunology (154 citations), Cancer Research (100 citations), Pulmonary and Respiratory Medicine (130 citations) and Pathology and Forensic Medicine (67 citations). Todd Maney has collaborated with scholars based in United States, Australia and Bosnia and Herzegovina. Frequent co-authors include Zoran Gatalica, Daniel D. Von Hoff, Anatole Ghazalpour, Carrie Snyder, Semir Vranić, Gargi D. Basu, Omid Hamid, Nianqing Xiao, Henry T. Lynch and Daniel A. Holterman. Their work appears in journals such as Oncotarget, Frontiers in Oncology, JAMA Network Open, Journal of Clinical Oncology and Gynecologic Oncology.

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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