P. Worst

20 papers receiving 989 citations

Hit Papers

Suppression of Malignancy by Cell Fusion 1969 · 440 citations
4401969202619882007100200300400

Peers

P. Worst
Comparison fields: 5 of 83
  • Rehabilitation 127
  • Pathology and Forensic Medicine 265
  • Oncology 358
  • Cell Biology 190
  • Cancer Research 140
Replace Kay H. Singer with:
Kay H. Singer United States
Koichi Rikimaru Japan
Caroline Hutter Austria
Sandrine Lenglez Belgium
Marisa Gullino United States
S Morioka Japan
Sven Krengel Germany
Arnoud Sonnenberg Netherlands
Edit Olasz United States
Susanna Virolainen Finland
P. Worst relative to Kay H. Singer United States Kay H. Singer's profile →
Citations per field
00.5×5.2×
Kay H. Singer · 1×
Citations per year

Countries citing papers authored by P. Worst

Since Specialization
Citations

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

Fields of papers citing papers by P. Worst

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1
Suppression of Malignancy by Cell Fusion
Hit paper breakdown →
1969440
2 2004109
3 197585
4 198268
5
Characteristics of chemically transformed mouse epidermal cells in vitro and in vivo.
197863
6 200352
7 197451
8 199848
9 200642
10 197431
11
Detection of cell surface antigens on monolayer cells. II. The application of mixed haemadsorption on a micro scale.
197015
12 199014
13 197314
14 199111
15 197310
16 19887
17 19893
18 19743
19 19751
20 19861

About P. Worst

P. Worst is a scholar working on Pathology and Forensic Medicine, Genetics, Cell Biology, Oncology and Urology, having authored 20 papers that have together received 1.1k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (4 papers), Lung Cancer Treatments and Mutations (4 papers), Cancer Treatment and Pharmacology (2 papers), Breast Cancer Treatment Studies (2 papers), Skin and Cellular Biology Research (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), Acute Lymphoblastic Leukemia research (2 papers) and 3D Printing in Biomedical Research (2 papers). The work is most often cited by research in Rehabilitation (127 citations), Pathology and Forensic Medicine (265 citations), Oncology (358 citations), Cell Biology (190 citations) and Cancer Research (140 citations). P. Worst has collaborated with scholars based in Germany, Sweden and United Kingdom. Frequent co-authors include Norbert E. Fusenig, Henry Harris, T Tachibana, George Klein, N. E. Fusenig, Ian C. Mackenzie, Elizabeth Valentine, Andreas Engert, Volker Diehl and Petra Boukamp. Their work appears in journals such as Journal of Cancer Research and Clinical Oncology, Journal of Investigative Dermatology, Annals of Oncology, Journal of Clinical Oncology and JNCI Journal of the National Cancer Institute.

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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