Daniel Guthy

1.8k citations
16 papers · 242 · h-index 10

Impact in

    • Chronic Lymphocytic Leukemia Research
    • Acute Myeloid Leukemia Research

Papers in

    • PI3K/AKT/mTOR signaling in cancer 5
    • Protein Degradation and Inhibitors 3
    • Genomics and Chromatin Dynamics 3
    • Epigenetics and DNA Methylation 2
    • CRISPR and Genetic Engineering 2
    • Biochemical and Molecular Research 2
    • Cancer-related Molecular Pathways 2

Daniel Guthy

14 papers receiving 241 citations

Peers

Daniel Guthy
Comparison fields: 5 of 43
  • Genetics 42
  • Hematology 41
  • Molecular Biology 192
  • Pharmaceutical Science 15
  • Organic Chemistry 40
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Deepali Gotur United States
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Kirsten Bell United States
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Isao Yasumatsu Japan
Kailin Yu China
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Anant A. Agrawal United States
Vidhyashankar Ramamurthy United States
Sachie Otsuki Japan
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Guthy

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Guthy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 201651
2 200533
3 201927
4 200820
5 201520
6 201118
7 201517
8 201515
9 201215
10 201810
11 20247
12 20175
13 20212
14 20152
15 20120
16 20200

About Daniel Guthy

Daniel Guthy is a scholar working on Molecular Biology, Oncology, Genetics, Pulmonary and Respiratory Medicine and Organic Chemistry, having authored 16 papers that have together received 242 indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (5 papers), Protein Degradation and Inhibitors (3 papers), Genomics and Chromatin Dynamics (3 papers), Chronic Lymphocytic Leukemia Research (2 papers), Epigenetics and DNA Methylation (2 papers), CRISPR and Genetic Engineering (2 papers), Cancer-related Molecular Pathways (2 papers) and Biochemical and Molecular Research (2 papers). The work is most often cited by research in Genetics (42 citations), Hematology (41 citations), Molecular Biology (192 citations), Pharmaceutical Science (15 citations) and Organic Chemistry (40 citations). Daniel Guthy has collaborated with scholars based in Switzerland, United States and China. Frequent co-authors include Christine Fritsch, Giorgio Caravatti, Pilar Blancafort, Marc Gerspacher, Frédéric Stauffer, Dirk Erdmann, Kim S. Beyer, Michael Kiffe, Christoph Gaul and Robin A. Fairhurst. Their work appears in journals such as Cancer Research, Bioorganic & Medicinal Chemistry Letters, ACS Medicinal Chemistry Letters, Molecular Cancer Therapeutics and BMC Cancer.

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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