David Roe

478 total citations
11 papers, 305 citations indexed

About

David Roe is a scholar working on Immunology, Pathology and Forensic Medicine and Genetics. According to data from OpenAlex, David Roe has authored 11 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 3 papers in Pathology and Forensic Medicine and 2 papers in Genetics. Recurrent topics in David Roe's work include Immune Cell Function and Interaction (7 papers), T-cell and B-cell Immunology (4 papers) and Spinal Cord Injury Research (2 papers). David Roe is often cited by papers focused on Immune Cell Function and Interaction (7 papers), T-cell and B-cell Immunology (4 papers) and Spinal Cord Injury Research (2 papers). David Roe collaborates with scholars based in United States and United Kingdom. David Roe's co-authors include Julius M. Cruse, Robert E. Lewis, Smaroula Dilioglou, W. F. M. Wallace, Martin Maiers, Cynthia Vierra‐Green, Stephen R. Spellman, Rui Kuang, Daniel E. Geraghty and Lisbeth A. Guethlein and has published in prestigious journals such as PLoS ONE, Frontiers in Immunology and Genes and Immunity.

In The Last Decade

David Roe

11 papers receiving 290 citations

Peers

David Roe

IMMUN

PFM

SURGE

REHAB

HEMAT

Nicholas Raine-Fenning United Kingdom

H Beck Denmark

Т. В. Дубинина Russia

Sini M. Laakso Finland

Alan Rosenbach United States

Mostafa Mehrabi Bahar Iran

Joana Cabete Portugal

Joe Thomas India

Hesham Zaher Egypt

D. Timlin United Kingdom

Nicholas Raine-Fenning United Kingdom

David Roe

229 ×1.4

IMMUN

21 ×0.3

PFM

32 ×1.1

SURGE

6 ×0.2

REHAB

11 ×0.5

HEMAT

Citations per year, relative to David Roe David Roe (= 1×) peers Nicholas Raine-Fenning

Countries citing papers authored by David Roe

Since Specialization

Citations

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

Fields of papers citing papers by David Roe

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Roe

This figure shows the co-authorship network connecting the top 25 collaborators of David Roe. A scholar is included among the top collaborators of David Roe 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 David Roe. David Roe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

1.

Roe, David, Cynthia Vierra‐Green, Daniel E. Geraghty, et al.. (2020). A Detailed View of KIR Haplotype Structures and Gene Families as Provided by a New Motif-Based Multiple Sequence Alignment. Frontiers in Immunology. 11. 585731–585731. 7 indexed citations

2.

Roe, David & Rui Kuang. (2020). Accurate and Efficient KIR Gene and Haplotype Inference From Genome Sequencing Reads With Novel K-mer Signatures. Frontiers in Immunology. 11. 583013–583013. 11 indexed citations

3.

Roe, David, et al.. (2020). Efficient Sequencing, Assembly, and Annotation of Human KIR Haplotypes. Frontiers in Immunology. 11. 582927–582927. 9 indexed citations

4.

Roe, David, et al.. (2017). Detecting Population-Differentiation Copy Number Variants in Human Population Tree by Sparse Group Selection. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 16(2). 538–549. 2 indexed citations

5.

Roe, David, Cynthia Vierra‐Green, Kevin Eng, et al.. (2017). Revealing complete complex KIR haplotypes phased by long-read sequencing technology. Genes and Immunity. 18(3). 127–134. 48 indexed citations

6.

Vierra‐Green, Cynthia, David Roe, Jyothi Jayaraman, et al.. (2016). Estimating KIR Haplotype Frequencies on a Cohort of 10,000 Individuals: A Comprehensive Study on Population Variations, Typing Resolutions, and Reference Haplotypes. PLoS ONE. 11(10). e0163973–e0163973. 15 indexed citations

7.

Vierra‐Green, Cynthia, David Roe, Lihua Hou, et al.. (2012). Allele-Level Haplotype Frequencies and Pairwise Linkage Disequilibrium for 14 KIR Loci in 506 European-American Individuals. PLoS ONE. 7(11). e47491–e47491. 69 indexed citations

8.

Cruse, Julius M., et al.. (2000). Review of Immune Function, Healing of Pressure Ulcers, and Nutritional Status in Patients with Spinal Cord Injury. Journal of Spinal Cord Medicine. 23(2). 129–135. 68 indexed citations

9.

Roe, David, Robert E. Lewis, & Julius M. Cruse. (2000). Association of HLA-DQ and -DR Alleles with Protection from or Infection with HIV-1. Experimental and Molecular Pathology. 68(1). 21–28. 19 indexed citations

10.

Cruse, Julius M., et al.. (2000). Facilitation of Immune Function, Healing of Pressure Ulcers, and Nutritional Status in Spinal Cord Injury Patients. Experimental and Molecular Pathology. 68(1). 38–54. 46 indexed citations

11.

Keesey, John, et al.. (1982). Acetylcholine Receptor Antibody Titer and HLA-B8 Antigen in Myasthenia Gravis. Archives of Neurology. 39(2). 73–77. 11 indexed citations

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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