D. Sayer

3.5k total citations · 1 hit paper
52 papers, 2.6k citations indexed

About

D. Sayer is a scholar working on Immunology, Hematology and Infectious Diseases. According to data from OpenAlex, D. Sayer has authored 52 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Immunology, 11 papers in Hematology and 9 papers in Infectious Diseases. Recurrent topics in D. Sayer's work include T-cell and B-cell Immunology (23 papers), Immune Cell Function and Interaction (15 papers) and Hematopoietic Stem Cell Transplantation (9 papers). D. Sayer is often cited by papers focused on T-cell and B-cell Immunology (23 papers), Immune Cell Function and Interaction (15 papers) and Hematopoietic Stem Cell Transplantation (9 papers). D. Sayer collaborates with scholars based in Australia, United States and United Kingdom. D. Sayer's co-authors include Campbell S. Witt, S. Mallal, Frank Christiansen, David Nolan, Cyril Mamotte, Ian James, A. Castley, Corey Moore, Donald M. Maxwell and Christiansen Ft and has published in prestigious journals such as The Lancet, Neurology and Scientific Reports.

In The Last Decade

D. Sayer

48 papers receiving 2.5k citations

Hit Papers

Association between presence of HLA-B*5701, HLA-DR7, and ... 2002 2026 2010 2018 2002 250 500 750 1000

Peers

D. Sayer
Comparison fields: 5 of 113
  • Immunology 978
  • Pharmacology 559
  • Infectious Diseases 468
  • Virology 374
  • Rheumatology 329
Replace Surakameth Mahasirimongkol with:
Surakameth Mahasirimongkol Thailand
N J Fitch United Kingdom
Rui M. M. Victorino Portugal
Lawrence D. Petz United States
D. Thorborn United Kingdom
A. Castley Australia
Rhonda Holdsworth Australia
E P Sampaio Brazil
Élie Serge Zafrani France
Thomas Höhler Germany
Surakameth Mahasirimongkol Thailand View profile →
Citations per field, relative to D. Sayer
D. Sayer · 1×
Citations per year, relative to D. Sayer
D. Sayer · 1×

Countries citing papers authored by D. Sayer

Since Specialization
Citations

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

Fields of papers citing papers by D. Sayer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Sayer

This figure shows the co-authorship network connecting the top 25 collaborators of D. Sayer. A scholar is included among the top collaborators of D. Sayer based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with D. Sayer. D. Sayer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 6
3 4
4 2
5 3
6 8
7 113
8 161
9 0
10
13th IHWS Shared Resources Joint Report. IHWG Cell and Gene Bank and reference cell panels.
1
11 14
12 1
13
Association between presence of HLA-B*5701, HLA-DR7 , and HLA-DQ3 and hypersensitivity to HIV-1 reverse-transcriptase inhibitor abacavir breakdown →
1001
14 43
15 15
16 76
17
HLA-B*27 typing by sequence specific amplification without DNA extraction
3
18 146
19 4
20 43

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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