D. Tills

1.0k citations
50 papers · 890 · h-index 18

Impact in

  • Hematology top 2%
    • Blood groups and transfusion
  • Genetics top 5%
    • Hemoglobinopathies and Related Disorders
    • Forensic and Genetic Research
    • Genetic diversity and population structure
    • Genetic Associations and Epidemiology

Papers in

    • Blood groups and transfusion 20
    • Erythrocyte Function and Pathophysiology 15

D. Tills

49 papers receiving 778 citations

Peers

D. Tills
Comparison fields: 5 of 106
  • Hematology 343
  • Genetics 160
  • Physiology 287
  • Genetics 311
  • Immunology 86
Replace G. Modiano with:
G. Modiano Italy
N.M. Blake Australia
Marion Lewis Canada
Hiroko Kaita Canada
R. T. Simmons Australia
G. Albin Matson United States
Luan Eng Lie‐Injo United States
Salem Abbès Tunisia
Carol E. Dowling United States
I Bianco Italy
D. Tills relative to G. Modiano Italy G. Modiano's profile →
Citations per field
00.5×1.7×
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-authors

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

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1986128
2 196988
3 197357
4 197652
5 197031
6 196029
7 197727
8 196126
9 196824
10 197323
11 197122
12 197420
13 197620
14 197819
15 197719
16
Frequency of genetic traits in the Caribs of Dominica.
196919
17 196718
18 197017
19 197116
20 196815

About D. Tills

D. Tills is a scholar working on Hematology, Physiology, Genetics, Genetics and Molecular Biology, having authored 50 papers that have together received 890 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), Metabolism and Genetic Disorders (3 papers), Pancreatic function and diabetes (3 papers), Genetic Associations and Epidemiology (3 papers) and RNA modifications and cancer (3 papers). The work is most often cited by research in Hematology (343 citations), Genetics (160 citations), Physiology (287 citations), Genetics (311 citations) and Immunology (86 citations). D. Tills has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include A. E. Mourant, Ada C. Kopeć, H.‐H. Sonneborn, Anthony H. Merry, Gary Mallinson, Minna Tanner, P. Teesdale, Peter Martin, J. V. Dacie and David J. Anstee. 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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