P. G. Stansly

945 citations
25 papers · 293 indexed · h-index 8
Topics
Virus-based gene therapy research (3 papers)Metabolism and Genetic Disorders (3 papers)Coccidia and coccidiosis research (3 papers)
Partner nations
United States

In The Last Decade

P. G. Stansly

25 papers receiving 241 citations

Peers

P. G. Stansly
Comparison fields: 5 of 74
  • Molecular Biology 113
  • Oncology 58
  • Pulmonary and Respiratory Medicine 40
  • Physiology 37
  • Biochemistry 36
Replace E. Krystek with:
E. Krystek Austria
Michael P. Lardis United States
Thomas Kempe United States
Ida Deichaite United States
August-Wilhelm Geissler Germany
Trevor Wilkinson United Kingdom
John L. Davis United States
Mary T. C. Kramers United Kingdom
S S Gong United States
T.M. Monahan United States
P. G. Stansly relative to E. Krystek Austria E. Krystek's profile →
Citations per field
00.5×1.5×2.3×
E. Krystek · 1×
Citations per year

Countries citing papers authored by P. G. Stansly

Since Specialization
Citations

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

Fields of papers citing papers by P. G. Stansly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. G. Stansly

This figure shows the co-authorship network connecting the top 25 collaborators of P. G. Stansly. A scholar is included among the top collaborators of P. G. Stansly based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with P. G. Stansly. P. G. Stansly is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2
Cancer invasion and metastasis : biologic mechanisms and therapy
107
3
Is there another approach to cancer therapy?--Workshop on suppression of the malignant phenotype.
1
4 3
5 1
6 3
7 5
8 2
9 3
10 6
11 1
12 5
13 9
14 18
15 1
16 2
17
Activity and regulation of the serum trypsin-inhibitor in mice.
10
18 15
19 32
20 30

About P. G. Stansly

P. G. Stansly is a scholar working on Animal Science and Zoology, Parasitology and Clinical Biochemistry, having authored 25 papers that have together received 293 indexed citations. Recurring topics across this work include Virus-based gene therapy research (3 papers), Metabolism and Genetic Disorders (3 papers) and Coccidia and coccidiosis research (3 papers). The work is most often cited by research in Biochemistry (36 citations), Clinical Biochemistry (20 citations) and Cancer Research (36 citations). P. G. Stansly has collaborated with scholars based in United States. Frequent co-authors include Helmut Beinert, Silvio Garattini, W. P. Laird Myers, Stacey B. Day, Herbert D. Soule, H.R. Mahler, Salih J. Wakil, Robert M. Bock, Dexter S. Goldman and Khurshed A. Ansari. Their work appears in journals such as Nature, Science and Journal of the American Chemical Society.

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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