Peter Krippl

2.9k citations
59 papers · 1.9k indexed · h-index 27
  • Oncology top 5%
    • Cancer Treatment and Pharmacology 5
    • HER2/EGFR in Cancer Research 4
    • Peptidase Inhibition and Analysis 3
  • Hematology top 5%
    • Acute Myeloid Leukemia Research 6
    • Angiogenesis and VEGF in Cancer 7
    • Kruppel-like factors research 4
    • Estrogen and related hormone effects 8
    • Myeloproliferative Neoplasms: Diagnosis and Treatment 7

Peter Krippl

58 papers receiving 1.9k citations

Peers

Peter Krippl
Comparison fields: 5 of 115
  • Cancer Research 466
  • Oncology 665
  • Hematology 167
  • Rheumatology 194
  • Molecular Biology 787
Replace Gian Ludovico Rapaccini with:
Gian Ludovico Rapaccini Italy
Aristidis Polyzos Greece
David T. Yang United States
Sophie Ferlicot France
Francesca Sanguedolce Italy
Uğur Çoşkun Türkiye
Karen Dresser United States
Arnaldo Arbini United States
Anthony Douglas-Jones United Kingdom
Xiaoling Liu China
Peter Krippl relative to Gian Ludovico Rapaccini Italy Gian Ludovico Rapaccini's profile →
Citations per field
00.5×3.2×
Gian Ludovico Rapaccini · 1×
Citations per year

Countries citing papers authored by Peter Krippl

Since Specialization
Citations

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

Fields of papers citing papers by Peter Krippl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20183
2 201717
3 201414
4 201134
5 200939
6 20093
7 200822
8 200714
9 200617
10 200633
11 200517
12 200449
13 200416
14 200426
15 200320
16 200346
17 200344
18 2003275
19 20033
20 200214

About Peter Krippl

Peter Krippl is a scholar working on Hematology, Cancer Research, Oncology, Genetics and Immunology and Allergy, having authored 59 papers that have together received 1.9k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (8 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (7 papers), Angiogenesis and VEGF in Cancer (7 papers), Acute Myeloid Leukemia Research (6 papers), Cancer Treatment and Pharmacology (5 papers), HER2/EGFR in Cancer Research (4 papers), Kruppel-like factors research (4 papers) and Peptidase Inhibition and Analysis (3 papers). The work is most often cited by research in Cancer Research (466 citations), Oncology (665 citations), Hematology (167 citations), Rheumatology (194 citations) and Molecular Biology (787 citations). Peter Krippl has collaborated with scholars based in Austria, Germany and Switzerland. Frequent co-authors include Hellmut Samonigg, Uwe Langsenlehner, Wilfried Renner, Babak Yazdani‐Biuki, Thomas C. Wascher, Bernhard Paulweber, Gerald Wolf, Armin Gerger, Günter Hofmann and Josef Haas. Their work appears in journals such as Breast Cancer Research and Treatment, Clinical Cancer Research, European Journal of Cancer, Leukemia Research and Cancer Letters.

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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