R Bailey-Wood

864 total citations
23 papers, 682 citations indexed

About

R Bailey-Wood is a scholar working on Hematology, Molecular Biology and Immunology. According to data from OpenAlex, R Bailey-Wood has authored 23 papers receiving a total of 682 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Hematology, 8 papers in Molecular Biology and 7 papers in Immunology. Recurrent topics in R Bailey-Wood's work include Acute Myeloid Leukemia Research (5 papers), Immunotherapy and Immune Responses (5 papers) and Hematopoietic Stem Cell Transplantation (5 papers). R Bailey-Wood is often cited by papers focused on Acute Myeloid Leukemia Research (5 papers), Immunotherapy and Immune Responses (5 papers) and Hematopoietic Stem Cell Transplantation (5 papers). R Bailey-Wood collaborates with scholars based in United Kingdom, France and Germany. R Bailey-Wood's co-authors include Seah H. Lim, Morris Ling, Stephen May, Stuart A. Smith, Alice K. Jacobs, Frederick A. Rose, K. S. Dodgson, J. A. Whittaker, N. Tudball and P. Thomas and has published in prestigious journals such as British Journal of Cancer, International Journal of Cancer and British Journal of Haematology.

In The Last Decade

R Bailey-Wood

22 papers receiving 643 citations

Peers

R Bailey-Wood
Comparison fields: 5 of 65
  • Immunology 342
  • Molecular Biology 318
  • Hematology 272
  • Oncology 131
  • Genetics 70
Replace GL Rosner with:
GL Rosner United States
Jonathan Keller United States
Hiroyuki Takahira Japan
B. C. Millar United Kingdom
R Bataille France
Nancy Hague United States
Timothy J. Hoy United Kingdom
Lu Zy France
Tatsuo Abe Japan
C. Vasselon France
GL Rosner United States View profile →
Citations per field, relative to R Bailey-Wood
R Bailey-Wood · 1×
Citations per year, relative to R Bailey-Wood
R Bailey-Wood · 1×

Countries citing papers authored by R Bailey-Wood

Since Specialization
Citations

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

Fields of papers citing papers by R Bailey-Wood

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R Bailey-Wood. 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 R Bailey-Wood. The network helps show where R Bailey-Wood may publish in the future.

Co-authorship network of co-authors of R Bailey-Wood

This figure shows the co-authorship network connecting the top 25 collaborators of R Bailey-Wood. A scholar is included among the top collaborators of R Bailey-Wood 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 R Bailey-Wood. R Bailey-Wood 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 95
2 4
3 8
4 137
5 12
6
Idiotypic protein-pulsed adherent peripheral blood mononuclear cell-derived dendritic cells prime immune system in multiple myeloma.
118
7 17
8 3
9 10
10 1
11 11
12 96
13 19
14 16
15 11
16 22
17 2
18 7
19 24
20 16

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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