Damian Goodridge

1.2k total citations
27 papers, 612 citations indexed

About

Damian Goodridge is a scholar working on Immunology, Molecular Biology and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Damian Goodridge has authored 27 papers receiving a total of 612 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Immunology, 6 papers in Molecular Biology and 6 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Damian Goodridge's work include T-cell and B-cell Immunology (12 papers), Immune Cell Function and Interaction (8 papers) and Advanced Chemical Physics Studies (6 papers). Damian Goodridge is often cited by papers focused on T-cell and B-cell Immunology (12 papers), Immune Cell Function and Interaction (8 papers) and Advanced Chemical Physics Studies (6 papers). Damian Goodridge collaborates with scholars based in United States, United Kingdom and Switzerland. Damian Goodridge's co-authors include D. Sayer, Bryan Höglund, Timothy C. Steimle, Elizabeth Trachtenberg, Russell Higuchi, Cherie L. Holcomb, John M. Brown, Andrew J. Marr, Priscilla Moonsamy and Grantland Hillman and has published in prestigious journals such as The Journal of Chemical Physics, Bioorganic & Medicinal Chemistry and Journal of Molecular Spectroscopy.

In The Last Decade

Damian Goodridge

26 papers receiving 574 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Damian Goodridge United States 13 284 131 104 91 81 27 612
Yingssu Tsai United States 11 185 0.7× 372 2.8× 12 0.1× 32 0.4× 17 0.2× 12 675
MM Frank United States 8 119 0.4× 303 2.3× 45 0.4× 101 1.1× 6 0.1× 11 536
Mel N. Kronick United States 19 172 0.6× 566 4.3× 83 0.8× 47 0.5× 7 0.1× 27 1.5k
David J. Kane United States 10 145 0.5× 290 2.2× 66 0.6× 72 0.8× 2 0.0× 18 552
H.I. Kohn United States 19 338 1.2× 277 2.1× 55 0.5× 42 0.5× 5 0.1× 36 1.2k
Maria DeLucia United States 16 282 1.0× 465 3.5× 32 0.3× 13 0.1× 3 0.0× 25 1.0k
Jeanmarie Guenot United States 13 370 1.3× 363 2.8× 55 0.5× 97 1.1× 1 0.0× 19 824
Roland M. Martin Australia 10 250 0.9× 238 1.8× 51 0.5× 48 0.5× 15 727
Claudia Müller Germany 14 125 0.4× 764 5.8× 334 3.2× 20 0.2× 3 0.0× 29 1.3k
Catherine Lucas United States 11 305 1.1× 331 2.5× 53 0.5× 53 0.6× 15 911

Countries citing papers authored by Damian Goodridge

Since Specialization
Citations

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

Fields of papers citing papers by Damian Goodridge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Damian Goodridge

This figure shows the co-authorship network connecting the top 25 collaborators of Damian Goodridge. A scholar is included among the top collaborators of Damian Goodridge 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 Damian Goodridge. Damian Goodridge 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
1.
Mack, Steven J., Kazutoyo Osoegawa, Martha Ladner, et al.. (2018). High resolution HLA analysis reveals independent class I haplotypes and amino-acid motifs protective for multiple sclerosis. Genes and Immunity. 20(4). 308–326. 15 indexed citations
2.
Goodridge, Damian, et al.. (2015). Improved HLA typing by next-generation DNA sequencing. Human Immunology. 76. 63–63. 1 indexed citations
3.
Yamamoto, Fumiko, Bryan Höglund, Marcelo Fernández-Viña, et al.. (2015). Very high resolution single pass HLA genotyping using amplicon sequencing on the 454 next generation DNA sequencers: Comparison with Sanger sequencing. Human Immunology. 76(12). 910–916. 6 indexed citations
4.
Steiert, Ingeborg, et al.. (2014). Identification of a new HLA‐B*57 allele, HLA‐B*57:71, by next‐generation sequencing. Tissue Antigens. 84(6). 587–588. 4 indexed citations
6.
Skibola, Christine F., Nicholas K. Akers, Lucía Conde, et al.. (2012). Multi‐locus HLA class I and II allele and haplotype associations with follicular lymphoma. Tissue Antigens. 79(4). 279–286. 25 indexed citations
7.
Holcomb, Cherie L., et al.. (2012). 11-OR. Human Immunology. 73. 10–10. 1 indexed citations
8.
Holcomb, Cherie L., et al.. (2012). 12-OR. Human Immunology. 73. 10–10. 4 indexed citations
9.
Moonsamy, Priscilla, Persia Bonella, Timothy C. Williams, et al.. (2011). 201-P Use of the Fluidigm® access Array™ system provides simplified amplicon library preparation in next generation sequencing for high throughput HLA genotyping. Human Immunology. 72. S142–S142. 1 indexed citations
11.
Lind, Curt, Deborah Ferriola, Kate Mackiewicz, et al.. (2010). Next-generation sequencing: the solution for high-resolution, unambiguous human leukocyte antigen typing. Human Immunology. 71(10). 1033–1042. 113 indexed citations
12.
Higuchi, Russell, et al.. (2009). High‐resolution, high‐throughput HLA genotyping by next‐generation sequencing. Tissue Antigens. 74(5). 393–403. 138 indexed citations
13.
Sayer, D. & Damian Goodridge. (2007). Pilot study: assessment of interlaboratory variability of sequencing‐based typing DNA sequence data quality. Tissue Antigens. 69(s1). 66–68. 1 indexed citations
14.
Dueck, Delbert, Christopher Hudson Moore, Damian Goodridge, et al.. (2007). POPULATION SEQUENCING FROM CHROMATOGRAM DATA. 1 indexed citations
15.
Sayer, D., et al.. (2004). Assign 2.0: software for the analysis of Phred quality values for quality control of HLA sequencing‐based typing. Tissue Antigens. 64(5). 556–565. 14 indexed citations
16.
Sayer, D. & Damian Goodridge. (2002). Assign: a complete software package for allele assignment and quality control of DNA sequencing based typing. Human Immunology. 63(10). S9–S9. 1 indexed citations
17.
Goodridge, Damian, Robert T. Carter, John M. Brown, & Timothy C. Steimle. (1997). Rotational analysis and assignment of the green band system of FeH to the e 6Π–a 6Δ transition. The Journal of Chemical Physics. 106(12). 4823–4831. 26 indexed citations
18.
Steimle, Timothy C., Damian Goodridge, & C. Linton. (1997). Measurement of the Stark effect in the Ω=0+−X 1Σ+ transition of YbO. The Journal of Chemical Physics. 107(9). 3723–3725. 13 indexed citations
19.
Marr, Andrew J., M. Tanimoto, Damian Goodridge, & Timothy C. Steimle. (1995). A study of the A 2B2–X 2A1 band system of CaNH2 employing molecular beam optical Stark spectroscopy. The Journal of Chemical Physics. 103(11). 4466–4475. 17 indexed citations
20.
Flitsch, Sabine L., et al.. (1994). The chemoenzymatic synthesis of neoglycolipids and lipid-linked oligosaccharides using glycosyltransferases. Bioorganic & Medicinal Chemistry. 2(11). 1243–1250. 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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