Ted Wun

6.6k citations
116 papers · 4.1k · 1 hit paper · h-index 35

Impact in

    • Venous Thromboembolism Diagnosis and Management
  • Genetics top 0.5%
    • Hemoglobinopathies and Related Disorders
    • Myeloproliferative Neoplasms: Diagnosis and Treatment

Papers in

    • Hemoglobinopathies and Related Disorders 37
    • Myeloproliferative Neoplasms: Diagnosis and Treatment 7
    • Iron Metabolism and Disorders 14
    • Blood groups and transfusion 9

Ted Wun

112 papers receiving 4.0k citations

Ted Wun's Hit Papers

Sickle Cell Disease 2022 · 212 citations
2120+1+2Years since publication50100150200

Peers

Ted Wun
Comparison fields: 5 of 134
  • Internal Medicine 786
  • Genetics 1.2k
  • Hematology 1.2k
  • Biochemistry 271
  • Emergency Medical Services 157
Replace Ted Wun with:
Ted Wun United States
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Ted Wun relative to Ted Wun United States Ted Wun's profile →
Citations per field
00.5×2.8×
Ted Wun · 1×
Citations per year

Countries citing papers authored by Ted Wun

Since Specialization
Citations

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

Fields of papers citing papers by Ted Wun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 116 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000283
2
Sickle Cell Disease
Hit paper breakdown →
2022212
3 2009186
4 2015163
5 2001158
6 2013147
7 2002133
8 1997133
9 2019131
10 2007126
11 1998115
12 2003114
13 201797
14 200286
15 202185
16 201775
17 201966
18 201765
19 200761
20 200460

About Ted Wun

Ted Wun is a scholar working on Genetics, Hematology, Internal Medicine, Public Health, Environmental and Occupational Health and Pediatrics, Perinatology and Child Health, having authored 116 papers that have together received 4.1k indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (37 papers), Venous Thromboembolism Diagnosis and Management (24 papers), Iron Metabolism and Disorders (14 papers), Acute Lymphoblastic Leukemia research (11 papers), Blood groups and transfusion (9 papers), Bone and Joint Diseases (9 papers), Childhood Cancer Survivors' Quality of Life (9 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (7 papers). The work is most often cited by research in Internal Medicine (786 citations), Genetics (1.2k citations), Hematology (1.2k citations), Biochemistry (271 citations) and Emergency Medical Services (157 citations). Ted Wun has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Richard H. White, Ann Brunson, Teresa Paglieroni, Theresa H.M. Keegan, Titilope Fasipe, Patricia L. Kavanagh, Anjlee Mahajan, Anthony Cheung, Debra A. Pearson and Harold H. Schmitz. Their work appears in journals such as Blood, Blood Advances, Thrombosis Research, American Journal of Hematology and British 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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