E. Watson-Williams

1.2k citations
43 papers · 909 indexed · h-index 16

E. Watson-Williams

41 papers receiving 738 citations

Peers

E. Watson-Williams
Comparison fields: 5 of 105
  • Genetics 341
  • Hematology 302
  • Clinical Biochemistry 61
  • Pediatrics, Perinatology and Child Health 176
  • Genetics 123
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C Reynafarje Peru
H. E. Hutchison United Kingdom
G. Flatz Germany
Thanyachai Sura Thailand
Donald L. Rucknagel United States
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Citations per field
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Citations per year

Countries citing papers authored by E. Watson-Williams

Since Specialization
Citations

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

Fields of papers citing papers by E. Watson-Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E. Watson-Williams. 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 E. Watson-Williams. The network helps show where E. Watson-Williams may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1
Safe blood in developing countries. Principles and organisation
19953
2 199010
3 19883
4 198711
5 198425
6 198310
7 198333
8 197519
9
The management of anaesthesia in sickle cell states.
196715
10 196627
11 19663
12 196518
13 1964100
14 19641
15
FURTHER EVIDENCE OF LINKAGE BETWEEN THE BETA AND DELTA LOCI GOVERNING HUMAN HEMOGLOBIN AND THE POPULATION DYNAMICS OF LINKED GENES.
196335
16 1963178
17
Aspects of Nigerian Medicine.
19621
18 196246
19 19614
20 19616

About E. Watson-Williams

E. Watson-Williams is a scholar working on Hematology, Genetics, Clinical Biochemistry, Virology and Pediatrics, Perinatology and Child Health, having authored 43 papers that have together received 909 indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (10 papers), Blood groups and transfusion (6 papers), Iron Metabolism and Disorders (5 papers), Neonatal Health and Biochemistry (4 papers), Metabolism and Genetic Disorders (3 papers), Platelet Disorders and Treatments (3 papers), HIV/AIDS Research and Interventions (3 papers) and Erythrocyte Function and Pathophysiology (2 papers). The work is most often cited by research in Genetics (341 citations), Hematology (302 citations), Clinical Biochemistry (61 citations), Pediatrics, Perinatology and Child Health (176 citations) and Genetics (123 citations). E. Watson-Williams has collaborated with scholars based in United Kingdom, United States and Nigeria. Frequent co-authors include Samuel H. Boyer, David C. Fainer, N. C. Allan, A. Adam, À. Szeinberg, Ian Porter, D. H. Irvine, H. Lehmann, M. Siniscalco and D. Beale. Their work appears in journals such as The Lancet, Nature, BJOG An International Journal of Obstetrics & Gynaecology, Transfusion and British Journal of Ophthalmology.

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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