S Staddon

1.1k citations
14 papers · 770 · h-index 10

Impact in

Papers in

S Staddon

13 papers receiving 749 citations

Peers

S Staddon
Comparison fields: 5 of 75
  • Oncology 315
  • Endocrinology, Diabetes and Metabolism 115
  • Psychiatry and Mental health 76
  • Cancer Research 72
  • Cellular and Molecular Neuroscience 80
Replace Rosaria Strammiello with:
Rosaria Strammiello Italy
Ju‐Yeon Kim South Korea
Jayaprakash D. Karkera United States
Mona Mustafa Germany
Françoise Wilkin Belgium
Joanne Wuu United States
Morag L. Ellison United Kingdom
Mar Carrión Spain
Daisong Wang China
Stefanie Gaupp Germany
S Staddon relative to Rosaria Strammiello Italy Rosaria Strammiello's profile →
Citations per field
00.5×4.1×
Rosaria Strammiello · 1×
Citations per year

Countries citing papers authored by S Staddon

Since Specialization
Citations

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

Fields of papers citing papers by S Staddon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 1992202
2 1991138
3
Absence of activating transmembrane mutations in the c-erbB-2 proto-oncogene in human breast cancer.
1990132
4 201059
5 200258
6 200642
7 200439
8 200837
9
Partial transformation of human thyroid epithelial cells by mutant Ha-ras oncogene.
199037
10 200620
11 20114
12
Allelic variations in CYP450 enzymes and olanzapine response
20041
13
The D3 receptor and improvement in positive symptoms of schizophrenia
20021
14
Pharmacogenetic prediction of olanzapine response
20020

About S Staddon

S Staddon is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Oncology, Pharmacology and Psychiatry and Mental health, having authored 14 papers that have together received 770 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (3 papers), Schizophrenia research and treatment (3 papers), Ginseng Biological Effects and Applications (2 papers), Diet and metabolism studies (2 papers), Genomics and Rare Diseases (1 paper), Sphingolipid Metabolism and Signaling (1 paper), Pancreatic and Hepatic Oncology Research (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Oncology (315 citations), Endocrinology, Diabetes and Metabolism (115 citations), Psychiatry and Mental health (76 citations), Cancer Research (72 citations) and Cellular and Molecular Neuroscience (80 citations). S Staddon has collaborated with scholars based in United Kingdom, Spain and Germany. Frequent co-authors include Nicholas R. Lemoine, Bernard Maillet, Peter A. Hall, Sunjay Jain, Christine M. Hughes, Claire Barton, Catriona O’Sullivan, Christopher L. Brown, Clive Dickson and Ignácio F. Mata. Their work appears in journals such as PROTEOMICS - CLINICAL APPLICATIONS, American Journal of Psychiatry, Molecular Carcinogenesis, PROTEOMICS and Gastroenterology.

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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