Danielle Grace

1.0k citations
4 papers · 840 · 1 hit paper · h-index 3

Impact in

Papers in

    • PI3K/AKT/mTOR signaling in cancer 2
    • Advanced biosensing and bioanalysis techniques 1
    • Phagocytosis and Immune Regulation 1
    • Immune cells in cancer 1

Danielle Grace

4 papers receiving 833 citations

Danielle Grace's Hit Papers

Non-Cell-Autonomous Tumor Suppression by p53 2013 · 615 citations
6150+4+8Years since publication200400600

Peers

Danielle Grace
Comparison fields: 5 of 69
  • Aging 19
  • Cancer Research 163
  • Immunology 224
  • Oncology 270
  • Hepatology 72
Replace Juling Ji with:
Juling Ji China
Rindert Missiaen United States
Shohreh Varmeh United States
Qihao Ren United States
Ilaria Guccini Switzerland
Frédérique Fauvet France
Luciana L. Almada United States
Cheryl A. Doughty United States
Lydia Kriegl Germany
Danielle Grace relative to Juling Ji China Juling Ji's profile →
Citations per field
00.5×1.5×1.8×
Juling Ji · 1×
Citations per year

Countries citing papers authored by Danielle Grace

Since Specialization
Citations

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

Fields of papers citing papers by Danielle Grace

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Danielle Grace, 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 Danielle Grace Line = papers co-authored together Danielle Grace links everyone, so they are left out of the graph.

All Works

4 of 4 papers shown
#Work
1
Non-Cell-Autonomous Tumor Suppression by p53
Hit paper breakdown →
2013615
2 2011131
3 201493
4 20111

About Danielle Grace

Danielle Grace is a scholar working on Molecular Biology, Immunology, Pulmonary and Respiratory Medicine, Oncology and Cell Biology, having authored 4 papers that have together received 840 indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), Hippo pathway signaling and YAP/TAZ (1 paper), Prostate Cancer Treatment and Research (1 paper), Phagocytosis and Immune Regulation (1 paper), Cancer-related Molecular Pathways (1 paper), Cancer, Lipids, and Metabolism (1 paper) and Immune cells in cancer (1 paper). The work is most often cited by research in Aging (19 citations), Cancer Research (163 citations), Immunology (224 citations), Oncology (270 citations) and Hepatology (72 citations). Danielle Grace has collaborated with scholars based in United States and Israel. Frequent co-authors include Scott W. Lowe, Vishal Thapar, Jessica E. Bolden, Darjus F. Tschaharganeh, Zhen Zhao, Amaia Lujambio, Leila Akkari, Johanna A. Joyce, Janelle Simon and Valery Krizhanovsky. Their work appears in journals such as Cancer Discovery, Cell, Cancer Research and Cancer Cell.

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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