John Old

2.1k citations
64 papers · 1.7k · h-index 20

Impact in

  • Genetics top 1%
    • Hemoglobinopathies and Related Disorders
    • Genomics and Rare Diseases
  • Hematology top 1%
    • Iron Metabolism and Disorders
    • Blood groups and transfusion

Papers in

    • Hemoglobinopathies and Related Disorders 53
    • Genomics and Rare Diseases 4
    • Iron Metabolism and Disorders 28
    • Blood groups and transfusion 8

John Old

60 papers receiving 1.5k citations

Peers

John Old
Comparison fields: 5 of 91
  • Genetics 1.2k
  • Hematology 791
  • Pediatrics, Perinatology and Child Health 315
  • Genetics 225
  • Cellular and Molecular Neuroscience 100
Replace Carol E. Dowling with:
Carol E. Dowling United States
Zeliha Özgür Netherlands
Kamran Moradkhani France
Stefania Satta Italy
Kathleen W. Rao United States
Karen L. Soldano United States
Cécile Rahuel France
David Davidson United States
M. Lewis Canada
Michela Gabaldo Italy
John Old relative to Carol E. Dowling United States Carol E. Dowling's profile →
Citations per field
00.5×2×4×6×7.8×
Carol E. Dowling · 1×
Citations per year

Countries citing papers authored by John Old

Since Specialization
Citations

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

Fields of papers citing papers by John Old

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014194
2 1979165
3 1994125
4 2011120
5 2008103
6 201489
7 200166
8
A national register for surveillance of inherited disorders: beta thalassaemia in the United Kingdom.
200158
9 200358
10
Prevention of Thalassaemias and Other Haemoglobin Disorders
201352
11 200950
12 197649
13 200839
14 200633
15 201533
16 200332
17 199631
18 200729
19 200922
20 199221

About John Old

John Old is a scholar working on Genetics, Hematology, Pediatrics, Perinatology and Child Health, Rheumatology and Genetics, having authored 64 papers that have together received 1.7k indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (53 papers), Iron Metabolism and Disorders (28 papers), Prenatal Screening and Diagnostics (14 papers), Blood groups and transfusion (8 papers), DNA and Nucleic Acid Chemistry (5 papers), Genomics and Rare Diseases (4 papers), Folate and B Vitamins Research (4 papers) and Neonatal Health and Biochemistry (4 papers). The work is most often cited by research in Genetics (1.2k citations), Hematology (791 citations), Pediatrics, Perinatology and Child Health (315 citations), Genetics (225 citations) and Cellular and Molecular Neuroscience (100 citations). John Old has collaborated with scholars based in United Kingdom, India and United States. Frequent co-authors include Shirley J. Henderson, David John Weatherall, Marina Kleanthous, Pavlos Fanis, Carsten Werner Lederer, Petros Kountouris, Cornelis L. Harteveld, Piero C. Giordano, Herbert Lazarus and Çiğdem Altay. Their work appears in journals such as British Journal of Haematology, Annals of the New York Academy of Sciences, Nature Genetics, Cell and Clinical Genetics.

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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