Christopher E. Helt

685 citations
10 papers · 571 · h-index 10

Impact in

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

Papers in

    • Cancer-related Molecular Pathways 7
    • PARP inhibition in cancer therapy 2
    • DNA Repair Mechanisms 4
    • Epigenetics and DNA Methylation 2
    • RNA modifications and cancer 2

Christopher E. Helt

10 papers receiving 568 citations

Peers

Christopher E. Helt
Comparison fields: 5 of 71
  • Cancer Research 126
  • Oncology 177
  • Molecular Biology 405
  • Aging 6
  • Biotechnology 27
Replace Ewoud N. Speksnijder with:
Ewoud N. Speksnijder Netherlands
Hexiao Wang China
Y-X Zeng China
Che‐Shoa Chang Taiwan
J Tian China
Yuxun Wang United States
Ryosuke Moriai Japan
Landon G. Piluso United States
AH Wyllie United Kingdom
Kerstin Brinkmann Germany
Christopher E. Helt relative to Ewoud N. Speksnijder Netherlands Ewoud N. Speksnijder's profile →
Citations per field
00.5×1.5×
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 2004157
2 2004109
3 200177
4 200569
5 200142
6 201339
7 200432
8 200517
9 200615
10 200614

About Christopher E. Helt

Christopher E. Helt is a scholar working on Oncology, Molecular Biology, Cancer Research, Biotechnology and Epidemiology, having authored 10 papers that have together received 571 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (7 papers), DNA Repair Mechanisms (4 papers), Cancer, Hypoxia, and Metabolism (4 papers), PARP inhibition in cancer therapy (2 papers), Epigenetics and DNA Methylation (2 papers), RNA modifications and cancer (2 papers), Carcinogens and Genotoxicity Assessment (2 papers) and Cancer Research and Treatments (2 papers). The work is most often cited by research in Cancer Research (126 citations), Oncology (177 citations), Molecular Biology (405 citations), Aging (6 citations) and Biotechnology (27 citations). Christopher E. Helt has collaborated with scholars based in United States and Germany. Frequent co-authors include Peter C. Keng, Michael A. O’Reilly, Robert A. Bambara, William A. Cliby, Wensheng Wang, Sandra M. Schneider, Guang Gao, Dirk Bohmann, Carsten Weiß and Jiyong Zhao. Their work appears in journals such as American Journal of Physiology-Lung Cellular and Molecular Physiology, Biochemical and Biophysical Research Communications, Toxicological Sciences, Journal of Biological Chemistry and Free Radical Biology and Medicine.

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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