Daniel Zingg

2.4k citations
35 papers · 1.7k · h-index 18

Impact in

  • Oncology top 5%
    • Cancer Immunotherapy and Biomarkers
  • Immunology top 10%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction

Papers in

    • Viral Infectious Diseases and Gene Expression in Insects 5
    • PI3K/AKT/mTOR signaling in cancer 5
    • Epigenetics and DNA Methylation 4
    • Insect Resistance and Genetics 3

Daniel Zingg

32 papers receiving 1.6k citations

Peers

Daniel Zingg
Comparison fields: 5 of 101
  • Oncology 441
  • Immunology 341
  • Cancer Research 218
  • Molecular Biology 965
  • Cell Biology 126
Replace Wenhuo Hu with:
Wenhuo Hu United States
Jozef Ban Austria
Gérard Goubin France
Noopur Thakur India
Jiwang Zhang United States
Carmen Segrelles Spain
Rui Yang China
Sorab N. Dalal India
H.-D Haubeck Germany
Elizabeth K. Duperret United States
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Citations per field
00.5×1.5×1.8×
Wenhuo Hu · 1×
Citations per year

Countries citing papers authored by Daniel Zingg

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Zingg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015261
2 2017247
3 2012195
4 2017133
5 2016106
6 2018101
7 201576
8 201567
9 200464
10
The phosphatidylinositide 3'-kinase/Akt survival pathway is a target for the anticancer and radiosensitizing agent PKC412, an inhibitor of protein kinase C.
200163
11 201949
12 200448
13 201343
14 200741
15 200140
16 201937
17 201119
18
Madex Plus and Madex I12 overcome Virus Resistance of Codling Moth
200818
19 200412
20 20209

About Daniel Zingg

Daniel Zingg is a scholar working on Molecular Biology, Plant Science, Insect Science, Oncology and Cancer Research, having authored 35 papers that have together received 1.7k indexed citations. Recurring topics across this work include Forest Insect Ecology and Management (5 papers), Viral Infectious Diseases and Gene Expression in Insects (5 papers), PI3K/AKT/mTOR signaling in cancer (5 papers), Cancer Genomics and Diagnostics (4 papers), Epigenetics and DNA Methylation (4 papers), Insect Pheromone Research and Control (3 papers), Insect Resistance and Genetics (3 papers) and Immunotherapy and Immune Responses (3 papers). The work is most often cited by research in Oncology (441 citations), Immunology (341 citations), Cancer Research (218 citations), Molecular Biology (965 citations) and Cell Biology (126 citations). Daniel Zingg has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Lukas Sommer, Onur Boyman, Natalia Arenas-Ramirez, Reinhard Dummer, Mitchell P. Levesque, Phil F. Cheng, Rodney Alexander Rosalia, Stephan Bodis, Dilara Şahin and Martin Pruschy. Their work appears in journals such as Journal of Bacteriology, Cancer Research, Cell stem cell, Molecular Cancer Therapeutics and Oncogene.

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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