P Autzen

500 citations
10 papers · 399 · h-index 7

Impact in

    • Bone health and treatments
    • Cancer-related Molecular Pathways
    • Peptidase Inhibition and Analysis
    • Protease and Inhibitor Mechanisms

Papers in

P Autzen

9 papers receiving 391 citations

Peers

P Autzen
Comparison fields: 5 of 45
  • Oncology 213
  • Cancer Research 89
  • Immunology and Allergy 25
  • Molecular Biology 250
  • Pulmonary and Respiratory Medicine 115
Replace Akihiro Kitaoka with:
Akihiro Kitaoka Japan
D. Tibaudi Italy
Hiroaki Furuyama Japan
Sima Pazouki United Kingdom
Anne E. Kellogg Wennerberg United States
Hanguang Hu China
G. Meyberg Germany
Aaron G. Margulies United States
Neşe Güney Türkiye
Elisa Bacillo Italy
P Autzen relative to Akihiro Kitaoka Japan Akihiro Kitaoka's profile →
Citations per field
00.5×1.5×2.3×
Akihiro Kitaoka · 1×
Citations per year

Countries citing papers authored by P Autzen

Since Specialization
Citations

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

Fields of papers citing papers by P Autzen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside P Autzen, 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 P Autzen Line = papers co-authored together P Autzen links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1
Immunolocalization and messenger RNA expression of bone morphogenetic protein-6 in human benign and malignant prostatic tissue.
1997100
2 199899
3
Expression of mu class glutathione S-transferase correlates with event-free survival in childhood acute lymphoblastic leukemia.
199462
4 200058
5 199743
6 199624
7 199811
8 19981
9
Cripto-1 is a tumour specific marker of bladder cancer
19971
10 20000

About P Autzen

P Autzen is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Molecular Biology, Cancer Research and Pathology and Forensic Medicine, having authored 10 papers that have together received 399 indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (4 papers), Bone health and treatments (2 papers), Genetic factors in colorectal cancer (2 papers), Cancer Cells and Metastasis (2 papers), Protease and Inhibitor Mechanisms (2 papers), Peptidase Inhibition and Analysis (2 papers), Ocular Oncology and Treatments (1 paper) and Plant Molecular Biology Research (1 paper). The work is most often cited by research in Oncology (213 citations), Cancer Research (89 citations), Immunology and Allergy (25 citations), Molecular Biology (250 citations) and Pulmonary and Respiratory Medicine (115 citations). P Autzen has collaborated with scholars based in United Kingdom, Sweden and United States. Frequent co-authors include Freddie C. Hamdy, Craig Robson, David E. Neal, A J Malcolm, C. H. W. Horne, Mark Johnson, Anders Bjartell, Mary Robinson, J. Kernahan and A Cattan. Their work appears in journals such as The Journal of Pathology, The Prostate, British Journal of Cancer, British Journal of Urology and PubMed.

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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