D. Tills

1.0k citations
49 papers · 833 indexed · h-index 17
  • Hematology top 5%
    • Blood groups and transfusion 20
  • Genetics top 10%
    • Forensic and Genetic Research 10
    • Hemoglobinopathies and Related Disorders 8
    • Genetic Associations and Epidemiology 3
  • Physiology top 10%
    • Erythrocyte Function and Pathophysiology 15
  • Genetics top 10%
    • Forensic and Genetic Research 10
    • Hemoglobinopathies and Related Disorders 8
    • Genetic Associations and Epidemiology 3
    • Metabolism and Genetic Disorders 3
    • RNA modifications and cancer 3
    • Pancreatic function and diabetes 3

D. Tills

48 papers receiving 733 citations

Peers

D. Tills
Comparison fields: 5 of 104
  • Hematology 324
  • Genetics 157
  • Physiology 275
  • Genetics 286
  • Immunology 86
Replace G. Modiano with:
G. Modiano Italy
Hiroko Kaita Canada
R. T. Simmons Australia
Luan Eng Lie‐Injo United States
N.M. Blake Australia
G. Albin Matson United States
I Bianco Italy
Carol E. Dowling United States
G Trabuchet France
K Omoto Japan
D. Tills relative to G. Modiano Italy G. Modiano's profile →
Citations per field
00.5×1.6×
G. Modiano · 1×
Citations per year

Countries citing papers authored by D. Tills

Since Specialization
Citations

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

Fields of papers citing papers by D. Tills

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 19909
2 19871
3 1986122
4 19856
5 198212
6 19827
7 198111
8 19795
9 197712
10 197313
11 197323
12 197114
13 197111
14 197122
15 197110
16 197029
17 197017
18 196985
19 19687
20 196025

About D. Tills

D. Tills is a scholar working on Hematology, Genetics, Physiology, Genetics and Clinical Biochemistry, having authored 49 papers that have together received 833 indexed citations. Recurring topics across this work include Blood groups and transfusion (20 papers), Erythrocyte Function and Pathophysiology (15 papers), Forensic and Genetic Research (10 papers), Hemoglobinopathies and Related Disorders (8 papers), Genetic Associations and Epidemiology (3 papers), Metabolism and Genetic Disorders (3 papers), RNA modifications and cancer (3 papers) and Pancreatic function and diabetes (3 papers). The work is most often cited by research in Hematology (324 citations), Genetics (157 citations), Physiology (275 citations), Genetics (286 citations) and Immunology (86 citations). D. Tills has collaborated with scholars based in United Kingdom, United States and New Zealand. Frequent co-authors include A. E. Mourant, Ada C. Kopeć, H.‐H. Sonneborn, Minna Tanner, Anthony H. Merry, Peter Martin, David J. Anstee, Gary Mallinson, J. V. Dacie and P. Teesdale. Their work appears in journals such as Human Heredity, Annals of Human Biology, Human Genetics, Vox Sanguinis 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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