William D. Walsh

1.3k total citations
13 papers, 291 citations indexed

About

William D. Walsh is a scholar working on Immunology, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, William D. Walsh has authored 13 papers receiving a total of 291 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 4 papers in Molecular Biology and 3 papers in Pathology and Forensic Medicine. Recurrent topics in William D. Walsh's work include Monoclonal and Polyclonal Antibodies Research (3 papers), Molecular Biology Techniques and Applications (2 papers) and Cancer Genomics and Diagnostics (2 papers). William D. Walsh is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (3 papers), Molecular Biology Techniques and Applications (2 papers) and Cancer Genomics and Diagnostics (2 papers). William D. Walsh collaborates with scholars based in United States. William D. Walsh's co-authors include P. Mickey Williams, Michele G. Mehaffey, S. Kanamori, Ted H. Hansen, Harley Y. Tse, Corinne E. Camalier, Chih‐Jian Lih, Biswajit Das, Hubert S. Chou and J A Kapp and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology and PLoS ONE.

In The Last Decade

William D. Walsh

13 papers receiving 280 citations

Peers

William D. Walsh
A Goutner France
William D. Walsh
Citations per year, relative to William D. Walsh William D. Walsh (= 1×) peers A Goutner

Countries citing papers authored by William D. Walsh

Since Specialization
Citations

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

Fields of papers citing papers by William D. Walsh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William D. Walsh

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

All Works

13 of 13 papers shown
1.
Tricoli, James V., Lisa A. Boardman, Rajesh Patidar, et al.. (2017). A mutational comparison of adult and adolescent and young adult (AYA) colon cancer. Cancer. 124(5). 1070–1082. 42 indexed citations
2.
Cecchi, Franco, Chih‐Jian Lih, Young Ho Lee, et al.. (2015). Expression array analysis of the hepatocyte growth factor invasive program. Clinical & Experimental Metastasis. 32(7). 659–676. 3 indexed citations
3.
Carrick, Danielle M., Michele G. Mehaffey, Michael C. Sachs, et al.. (2015). Robustness of Next Generation Sequencing on Older Formalin-Fixed Paraffin-Embedded Tissue. PLoS ONE. 10(7). e0127353–e0127353. 79 indexed citations
4.
Lih, Chih-Jian, David Sims, Eric C. Polley, et al.. (2015). Analytical Validation and Application of a Targeted Next-Generation Sequencing Mutation-Detection Assay for Use in Treatment Assignment in the NCI-MPACT Trial. Journal of Molecular Diagnostics. 18(1). 51–67. 29 indexed citations
5.
Bruckheimer, Elizabeth, Christine Fazenbaker, Sandra Gallagher, et al.. (2009). Antibody-Dependent Cell-Mediated Cytotoxicity Effector-Enhanced EphA2 Agonist Monoclonal Antibody Demonstrates Potent Activity against Human Tumors. Neoplasia. 11(6). 509–IN2. 29 indexed citations
6.
Ben‐Nissan, Besim, et al.. (2003). Bioceramics 15. Trans Tech Publications Ltd. eBooks. 2 indexed citations
7.
Spinella, Dominic G., William D. Walsh, Mark A. Behlke, et al.. (1987). Receptor diversity of insulin-specific T cell lines from C57BL (H-2b) mice.. The Journal of Immunology. 138(11). 3991–3995. 47 indexed citations
8.
Tse, Harley Y., S. Kanamori, William D. Walsh, & Ted H. Hansen. (1985). The murine bm12 gene conversion provides evidence that T cells recognize predominantly Ia conformation.. Proceedings of the National Academy of Sciences. 82(20). 7058–7062. 15 indexed citations
9.
Lillehoj, Erik P., et al.. (1984). Chemical and serologic definition of two unique D region-encoded molecules in the wild-derived mouse strain B10.GAA37.. The Journal of Immunology. 133(6). 3138–3142. 7 indexed citations
10.
Kanamori, S., et al.. (1984). Assessment of antigen-specific restriction sites on Ia molecules as defined by the bm12 mutation.. The Journal of Immunology. 133(6). 2811–2814. 14 indexed citations
11.
Hansen, T H, et al.. (1984). Delineation of Ia:nominal antigen complementary determinants recognized by T cells in studies of gene complementation in response to insulin.. The Journal of Immunology. 132(1). 303–309. 2 indexed citations
12.
Hansen, Ted H., William D. Walsh, K Ozato, J. Scott Arn, & David H. Sachs. (1981). Ia specificities on parental and hybrid cells of an I-A mutant mouse strain.. The Journal of Immunology. 127(6). 2228–2231. 14 indexed citations
13.
Walsh, William D.. (1959). The use of imagination. Medical Entomology and Zoology. 8 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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