David J. Simpson

83 papers receiving 2.3k citations

Peers

David J. Simpson
Comparison fields: 5 of 144
  • Endocrinology, Diabetes and Metabolism 679
  • Equine 51
  • Genetics 312
  • Endocrinology 80
  • Cancer Research 194
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Countries citing papers authored by David J. Simpson

Since Specialization
Citations

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

Fields of papers citing papers by David J. Simpson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David J. Simpson. 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 David J. Simpson. The network helps show where David J. Simpson may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Loss of pRb expression in pituitary adenomas is associated with methylation of the RB1 CpG island.
2000188
2 2005119
3
Analysis of cyclin D1 (CCND1) allelic imbalance and overexpression in sporadic human pituitary tumors.
1999108
4
Hypermethylation of the p16/CDKN2A/MTSI gene and loss of protein expression is associated with nonfunctional pituitary adenomas but not somatotrophinomas.
199997
5 200284
6 200381
7
Chromosome 9p deletions in invasive and noninvasive nonfunctional pituitary adenomas: the deleted region involves markers outside of the MTS1 and MTS2 genes.
199781
8 199967
9 201765
10 199952
11 200452
12 201951
13 202048
14 201048
15 199248
16 200146
17 198746
18 200145
19
Chromosome 13q deletion mapping in pituitary tumors: infrequent loss of the retinoblastoma susceptibility gene (RB1) locus despite loss of RB1 protein product in somatotrophinomas.
199944
20 200941

About David J. Simpson

David J. Simpson is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Food Science, Ecology and Biotechnology, having authored 85 papers that have together received 2.4k indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (17 papers), Microbial Fuel Cells and Bioremediation (8 papers), Probiotics and Fermented Foods (8 papers), Genetic factors in colorectal cancer (7 papers), Bacteriophages and microbial interactions (6 papers), Glioma Diagnosis and Treatment (6 papers), Geology and Paleoclimatology Research (5 papers) and Escherichia coli research studies (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (679 citations), Equine (51 citations), Genetics (312 citations), Endocrinology (80 citations) and Cancer Research (194 citations). David J. Simpson has collaborated with scholars based in United Kingdom, Canada and Australia. Frequent co-authors include William E. Farrell, Richard N. Clayton, John Bicknell, Michael G. Gänzle, Nigel A. Hibberts, C. R. Bellenger, Christine M. Szymanski, Chris Hunt, Jessica Sacher and Paul R. Hoban. Their work appears in journals such as Applied and Environmental Microbiology, Journal of Small Animal Practice, Genes Chromosomes and Cancer, Oncogene and Carcinogenesis.

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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