Christopher E. Helt

697 citations
10 papers · 591 · h-index 10

Impact in

    • Carcinogens and Genotoxicity Assessment
    • Cancer, Hypoxia, and Metabolism
    • Cancer-related Molecular Pathways

Papers in

    • Cancer, Hypoxia, and Metabolism 4
    • Carcinogens and Genotoxicity Assessment 2
    • Cancer-related Molecular Pathways 7
    • PARP inhibition in cancer therapy 2

Christopher E. Helt

10 papers receiving 583 citations

Peers

Christopher E. Helt
Comparison fields: 5 of 72
  • Cancer Research 129
  • Oncology 181
  • Molecular Biology 420
  • Aging 8
  • Biotechnology 27
Replace Ewoud N. Speksnijder with:
Ewoud N. Speksnijder Netherlands
De-Chang Wu China
Yuxun Wang United States
Kate Beishline United States
Ryosuke Moriai Japan
Landon G. Piluso United States
Thibaut Barnoud United States
Diana Dizon United States
Colleen Fordyce United States
Neri Minsky Israel
Christopher E. Helt relative to Ewoud N. Speksnijder Netherlands Ewoud N. Speksnijder's profile →
Citations per field
00.5×2×4×6×
Ewoud N. Speksnijder · 1×
Citations per year

Countries citing papers authored by Christopher E. Helt

Since Specialization
Citations

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

Fields of papers citing papers by Christopher E. Helt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher E. Helt. 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 Christopher E. Helt. The network helps show where Christopher E. Helt may publish in the future.

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2004166
2 2004111
3 200176
4 200575
5 200144
6 201341
7 200432
8 200517
9 200615
10 200614

About Christopher E. Helt

Christopher E. Helt is a scholar working on Cancer Research, Oncology, Biotechnology, Molecular Biology and Immunology, having authored 10 papers that have together received 591 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (7 papers), Cancer, Hypoxia, and Metabolism (4 papers), DNA Repair Mechanisms (4 papers), RNA modifications and cancer (2 papers), Cancer Research and Treatments (2 papers), Carcinogens and Genotoxicity Assessment (2 papers), PARP inhibition in cancer therapy (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Cancer Research (129 citations), Oncology (181 citations), Molecular Biology (420 citations), Aging (8 citations) and Biotechnology (27 citations). Christopher E. Helt has collaborated with scholars based in United States, Germany and Bulgaria. Frequent co-authors include Peter C. Keng, Michael A. O’Reilly, Robert A. Bambara, William A. Cliby, Wensheng Wang, Carsten Weiß, Jiyong Zhao, Sandra M. Schneider, Dirk Bohmann and Guang xun Gao. Their work appears in journals such as American Journal of Physiology-Lung Cellular and Molecular Physiology, Free Radical Biology and Medicine, Cell Cycle, PLoS Pathogens and Journal of Biological Chemistry.

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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