Damien Gerald

1.9k citations
16 papers · 1.5k · h-index 10

Impact in

    • Cancer, Hypoxia, and Metabolism
  • Oncology top 10%
    • Cancer Cells and Metastasis
    • Cancer-related Molecular Pathways

Papers in

    • Angiogenesis and VEGF in Cancer 3
    • Protein Kinase Regulation and GTPase Signaling 2
    • Cancer-related Molecular Pathways 2
    • Vascular Tumors and Angiosarcomas 2

Damien Gerald

16 papers receiving 1.5k citations

Peers

Damien Gerald
Comparison fields: 5 of 88
  • Cancer Research 506
  • Oncology 333
  • Molecular Biology 892
  • Immunology 179
  • Cell Biology 125
Replace Zhihai Peng with:
Zhihai Peng China
Susanne Schlisio Sweden
Douglas B. Stairs United States
Axelle Cadoret France
Theresa LaVallee United States
Xiaohu Tang United States
Loredana Moro Italy
Edward L. LaGory United States
Cindy Hodakoski United States
Andrea Kauffmann-Zeh United Kingdom
Damien Gerald relative to Zhihai Peng China Zhihai Peng's profile →
Citations per field
00.5×1.5×
Zhihai Peng · 1×
Citations per year

Countries citing papers authored by Damien Gerald

Since Specialization
Citations

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

Fields of papers citing papers by Damien Gerald

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2004472
2 2001291
3 2010260
4 2013169
5 2010150
6 201351
7 201241
8 201440
9 201331
10 201916
11 20109
12 20185
13 20252
14
[The risk of cardiac arrest during laparoscopy. A study of 50,000 laparoscopies and animal experimentation].
19762
15 20061
16 20161

About Damien Gerald

Damien Gerald is a scholar working on Molecular Biology, Oncology, Cancer Research, Cardiology and Cardiovascular Medicine and Cell Biology, having authored 16 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (4 papers), Angiogenesis and VEGF in Cancer (3 papers), Cardiac, Anesthesia and Surgical Outcomes (2 papers), Cancer-related Molecular Pathways (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Hippo pathway signaling and YAP/TAZ (2 papers), Vascular Tumors and Angiosarcomas (2 papers) and Lipid metabolism and disorders (2 papers). The work is most often cited by research in Cancer Research (506 citations), Oncology (333 citations), Molecular Biology (892 citations), Immunology (179 citations) and Cell Biology (125 citations). Damien Gerald has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Fatima Mechta‐Grigoriou, Moshé Yaniv, Laura E. Benjamin, Amato J. Giaccia, Yves‐Michel Frapart, Daniel Mansuy, Jacques Pouysségur, Denise A. Chan, Edurne Berra and Sudhakar Chintharlapalli. Their work appears in journals such as Cancer Research, Neuro-Oncology, Nature Communications, Oncogene and 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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