Gavin Cho

400 citations
11 papers · 308 · h-index 7

Impact in

  • Genetics top 5%
    • Hemoglobinopathies and Related Disorders
    • Myeloproliferative Neoplasms: Diagnosis and Treatment
  • Hematology top 10%
    • Blood groups and transfusion
    • Iron Metabolism and Disorders

Papers in

    • Hemoglobinopathies and Related Disorders 9
    • Blood groups and transfusion 4
    • Iron Metabolism and Disorders 2

Gavin Cho

11 papers receiving 301 citations

Peers

Gavin Cho
Comparison fields: 5 of 42
  • Genetics 233
  • Hematology 167
  • Biochemistry 13
  • Physiology 50
  • Management of Technology and Innovation 12
Replace V. Ladis with:
V. Ladis Greece
Catherine Ressayre-Djaffer Italy
Nishi Madan India
Emmanuel Chide Okocha Nigeria
V. Chamouard France
Helen Berdousi Greece
Renée C. Rees United States
Audrey Abad Canada
Dianne Thornhill United States
Frederico Xavier United States
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Citations per field
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Citations per year

Countries citing papers authored by Gavin Cho

Since Specialization
Citations

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

Fields of papers citing papers by Gavin Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 201694
2 201693
3 201240
4 201329
5 201613
6 201112
7 201910
8 20187
9 20165
10 20194
11 20231

About Gavin Cho

Gavin Cho is a scholar working on Genetics, Hematology, Biochemistry, Management of Technology and Innovation and Pediatrics, Perinatology and Child Health, having authored 11 papers that have together received 308 indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (9 papers), Blood groups and transfusion (4 papers), Iron Metabolism and Disorders (2 papers), Cardiovascular Function and Risk Factors (1 paper), Erythrocyte Function and Pathophysiology (1 paper), Prenatal Screening and Diagnostics (1 paper), Food Security and Health in Diverse Populations (1 paper) and Blood donation and transfusion practices (1 paper). The work is most often cited by research in Genetics (233 citations), Hematology (167 citations), Biochemistry (13 citations), Physiology (50 citations) and Management of Technology and Innovation (12 citations). Gavin Cho has collaborated with scholars based in United Kingdom, Barbados and Italy. Frequent co-authors include Kate E Ryan, Bernard A. Davis, Nay Chi Win, Shivan Pancham, John B. Porter, Shubha Allard, Amrana Qureshi, Kofi A. Anie, Mendwas D. Dzingina and G Rogers. Their work appears in journals such as British Journal of Haematology, BMJ Open, Cochrane Database of Systematic Reviews, American Journal of Hematology and Transfusion 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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