Peter Drueckes

2.3k citations
28 papers · 1.9k · 1 hit paper · h-index 17

Impact in

  • Hematology top 5%
    • Chronic Myeloid Leukemia Treatments
  • Genetics top 5%
    • Chronic Lymphocytic Leukemia Research

Papers in

    • HER2/EGFR in Cancer Research 3
    • Peptidase Inhibition and Analysis 3
    • Chronic Myeloid Leukemia Treatments 5

Peter Drueckes

28 papers receiving 1.8k citations

Peter Drueckes's Hit Papers

Discovery of Asciminib (ABL001), an Allosteric Inhibitor of the Tyrosine Kinase Activity of BCR-ABL1 2018 · 360 citations
3600+2+5Years since publication100200300

Peers

Peter Drueckes
Comparison fields: 5 of 104
  • Hematology 319
  • Genetics 238
  • Oncology 415
  • Molecular Biology 1.0k
  • Pathology and Forensic Medicine 201
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Stephen C. Cosenza United States
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Citations per field
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Citations per year

Countries citing papers authored by Peter Drueckes

Since Specialization
Citations

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

Fields of papers citing papers by Peter Drueckes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011422
2
Discovery of Asciminib (ABL001), an Allosteric Inhibitor of the Tyrosine Kinase Activity of BCR-ABL1
Hit paper breakdown →
2018360
3 2009198
4 2011112
5 2010104
6 2014104
7 2007101
8 201591
9 199577
10 199755
11 199945
12 201037
13 201635
14 201025
15 200823
16 199122
17 201022
18 199616
19 201215
20 201013

About Peter Drueckes

Peter Drueckes is a scholar working on Oncology, Hematology, Biotechnology, Genetics and Molecular Biology, having authored 28 papers that have together received 1.9k indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (5 papers), Enzyme Production and Characterization (4 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers), Microtubule and mitosis dynamics (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Enzyme Structure and Function (3 papers), HER2/EGFR in Cancer Research (3 papers) and Peptidase Inhibition and Analysis (3 papers). The work is most often cited by research in Hematology (319 citations), Genetics (238 citations), Oncology (415 citations), Molecular Biology (1.0k citations) and Pathology and Forensic Medicine (201 citations). Peter Drueckes has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Pascal Furet, Markus Wartmann, Reinhard Schinzel, D. Palm, Vincent Bordas, HERBERT A. SCHMID, Dirksen E. Bussiere, Joerg Berghausen, Christelle Stamm and Alfred G. Zimmerlin. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, ACS Chemical Biology, Cancer Research, Journal of Medicinal Chemistry and European Journal of Medicinal 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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