G Dean

64 papers receiving 1.8k citations

Peers

G Dean
Comparison fields: 5 of 122
  • Pathology and Forensic Medicine 988
  • Rheumatology 234
  • Neurology 198
  • Immunology 224
  • Psychiatry and Mental health 122
Replace David W. Niebuhr with:
David W. Niebuhr United States
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G Dean relative to David W. Niebuhr United States David W. Niebuhr's profile →
Citations per field
00.5×1.5×1.8×
David W. Niebuhr · 1×
Citations per year

Countries citing papers authored by G Dean

Since Specialization
Citations

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

Fields of papers citing papers by G Dean

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1971233
2 1967191
3 1990163
4 1981138
5 197696
6 198774
7 197963
8 195958
9 199557
10
Porphyria in Sweden and South Africa.
195954
11 199453
12 195553
13
A method for estimating the age at immigration of white immigrants to South Africa, with an example of its importance.
197053
14 198751
15 196648
16 197943
17 198140
18 198136
19
The opiate epidemic in Dublin 1979-1983.
198536
20 200035

About G Dean

G Dean is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Pediatrics, Perinatology and Child Health, Pulmonary and Respiratory Medicine and Clinical Psychology, having authored 67 papers that have together received 2.2k indexed citations. Recurring topics across this work include Porphyrin Metabolism and Disorders (10 papers), Multiple Sclerosis Research Studies (9 papers), Neonatal Health and Biochemistry (5 papers), Global Cancer Incidence and Screening (4 papers), Cervical Cancer and HPV Research (3 papers), Health disparities and outcomes (3 papers), Methemoglobinemia and Tumor Lysis Syndrome (3 papers) and Migration, Health and Trauma (3 papers). The work is most often cited by research in Pathology and Forensic Medicine (988 citations), Rheumatology (234 citations), Neurology (198 citations), Immunology (224 citations) and Psychiatry and Mental health (122 citations). G Dean has collaborated with scholars based in Ireland, United Kingdom and South Africa. Frequent co-authors include Marta Elian, J. F. Kurtzke, Simon Nightingale, Dermot Walsh, Lucien Karhausen, Heather Barnes, Rachel S. Kelly, A M Adelstein, John F. Kurtzke and F P O’Malley. Their work appears in journals such as Journal of Epidemiology & Community Health, Journal of Neurology Neurosurgery & Psychiatry, Clinical Orthopaedics and Related Research, Clinical Radiology and Occupational and Environmental Medicine.

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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