P. Worst

22 papers receiving 1.1k citations

P. Worst's Hit Papers

Suppression of Malignancy by Cell Fusion 1969 · 503 citations
5030+19+38Years since publication100200300400500

Peers

P. Worst
Comparison fields: 5 of 82
  • Rehabilitation 154
  • Pathology and Forensic Medicine 283
  • Oncology 362
  • Cell Biology 236
  • Cancer Research 152
Replace Kay H. Singer with:
Kay H. Singer United States
Sandrine Lenglez Belgium
Koichi Rikimaru Japan
Marisa Gullino United States
Susanne Popp Germany
Greg Parsonage United Kingdom
S Morioka Japan
Anke S. Lonsdorf Germany
Basil A. Horst United States
Hongmin Tu Finland
P. Worst relative to Kay H. Singer United States Kay H. Singer's profile →
Citations per field
00.5×6.2×
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

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Suppression of Malignancy by Cell Fusion
Hit paper breakdown →
1969503
2 2004117
3 197594
4 198275
5
Characteristics of chemically transformed mouse epidermal cells in vitro and in vivo.
197864
6 200360
7 197455
8 199852
9 200644
10 197436
11 198122
12 197318
13
Detection of cell surface antigens on monolayer cells. II. The application of mixed haemadsorption on a micro scale.
197015
14 199014
15 197313
16 20097
17 19815
18 19743
19 20091
20 19891

About P. Worst

P. Worst is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine, Oncology and Cell Biology, having authored 24 papers that have together received 1.2k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (6 papers), Skin and Cellular Biology Research (4 papers), Wound Healing and Treatments (3 papers), Acute Lymphoblastic Leukemia research (3 papers), Lung Cancer Treatments and Mutations (3 papers), Silk-based biomaterials and applications (2 papers), Pluripotent Stem Cells Research (2 papers) and Cancer Treatment and Pharmacology (2 papers). The work is most often cited by research in Rehabilitation (154 citations), Pathology and Forensic Medicine (283 citations), Oncology (362 citations), Cell Biology (236 citations) and Cancer Research (152 citations). P. Worst has collaborated with scholars based in Germany, Sweden and United States. Frequent co-authors include Norbert E. Fusenig, Henry Harris, George Klein, T Tachibana, Ian C. Mackenzie, N. E. Fusenig, Petra Boukamp, Elizabeth Valentine, Andreas Engert and Volker Diehl. Their work appears in journals such as Journal of Cancer Research and Clinical Oncology, Blood, Annals of Oncology, Journal of Investigative Dermatology 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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