S.N. Wickramasinghe

456 citations
27 papers · 303 · h-index 11

Impact in

  • Hematology top 10%
    • Iron Metabolism and Disorders
    • Blood groups and transfusion
    • Acute Myeloid Leukemia Research
  • Genetics top 10%
    • Hemoglobinopathies and Related Disorders

Papers in

    • Iron Metabolism and Disorders 6
    • Blood groups and transfusion 2
    • Erythrocyte Function and Pathophysiology 11

S.N. Wickramasinghe

23 papers receiving 285 citations

Peers

S.N. Wickramasinghe
Comparison fields: 5 of 74
  • Hematology 125
  • Genetics 114
  • Physiology 86
  • Cell Biology 26
  • Pediatrics, Perinatology and Child Health 26
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Citations per field
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Citations per year

Countries citing papers authored by S.N. Wickramasinghe

Since Specialization
Citations

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

Fields of papers citing papers by S.N. Wickramasinghe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 196845
2 199736
3 199335
4 198429
5 199622
6 198521
7 199816
8 200713
9 198512
10 199411
11
Immunoreactive erythropoietin in teleosts, amphibians, reptiles, birds. Evidence that the teleost kidney is both an erythropoietic and erythropoietin-producing organ.
199411
12 197210
13 19997
14 19966
15 19965
16 20245
17 20004
18
Normal bone marrow cells: development and cytology
20114
19 19863
20 20092

About S.N. Wickramasinghe

S.N. Wickramasinghe is a scholar working on Hematology, Physiology, Genetics, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 27 papers that have together received 303 indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (11 papers), Hemoglobinopathies and Related Disorders (7 papers), Iron Metabolism and Disorders (6 papers), Blood properties and coagulation (3 papers), Folate and B Vitamins Research (2 papers), Child Nutrition and Water Access (2 papers), Blood groups and transfusion (2 papers) and Sperm and Testicular Function (2 papers). The work is most often cited by research in Hematology (125 citations), Genetics (114 citations), Physiology (86 citations), Cell Biology (26 citations) and Pediatrics, Perinatology and Child Health (26 citations). S.N. Wickramasinghe has collaborated with scholars based in United Kingdom, Sri Lanka and Thailand. Frequent co-authors include D.G. Chalmers, E.H. Cooper, David C. Rees, Lei Luo, Swee Lay Thein, Stefanie M. Shiels, Bhawna Singh, C. D. L. Reid, Suthat Fucharoen and Mitsuoki Eguchi. Their work appears in journals such as Acta Haematologica, British Journal of Haematology, Blood, Annals of the New York Academy of Sciences and European Journal Of Haematology.

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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