Hamish R.C. Smith

2.7k total citations · 2 hit papers
16 papers, 2.2k citations indexed

About

Hamish R.C. Smith is a scholar working on Immunology, Epidemiology and Oncology. According to data from OpenAlex, Hamish R.C. Smith has authored 16 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Immunology, 6 papers in Epidemiology and 3 papers in Oncology. Recurrent topics in Hamish R.C. Smith's work include Immune Cell Function and Interaction (14 papers), T-cell and B-cell Immunology (13 papers) and Cytomegalovirus and herpesvirus research (6 papers). Hamish R.C. Smith is often cited by papers focused on Immune Cell Function and Interaction (14 papers), T-cell and B-cell Immunology (13 papers) and Cytomegalovirus and herpesvirus research (6 papers). Hamish R.C. Smith collaborates with scholars based in United States, Australia and Germany. Hamish R.C. Smith's co-authors include Wayne M. Yokoyama, Anthony A. Scalzo, Sung‐Jin Kim, Jonathan W. Heusel, Ayotunde O. Dokun, Diana L. Beckman, Jeanette T. Pingel, Brigitte G. Dorner, Koho Iizuka and Michael G. Brown and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and The Journal of Experimental Medicine.

In The Last Decade

Hamish R.C. Smith

15 papers receiving 2.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Recognition of a virus-encoded ligand by a natural killer cell activation receptor

2002 615 citations Hamish R.C. Smith, Jonathan W. Heusel et al. Proceedings of the National Academy of Sciences profile →
Vital Involvement of a Natural Killer Cell Activation Receptor in Resistance to Viral Infection

2001 512 citations Michael G. Brown, Ayotunde O. Dokun et al. Science profile →

Peers

Hamish R.C. Smith

IMMUN

EPIDE

ONCOL

HEMAT

Keith A. Daniels United States

Claire Dunn United Kingdom

Brian M. Rahill United States

Raizy Gruda Israel

Anne Halenius Germany

Ming L. Tsang United States

Angèle Bénard United States

T. Rovis Croatia

Maria Suni United States

Sian Llewellyn‐Lacey United Kingdom

Keith A. Daniels United States

Hamish R.C. Smith

1.2k ×0.6

IMMUN

387 ×0.5

EPIDE

181 ×0.7

ONCOL

139 ×1.0

58 ×0.4

HEMAT

Citations per year, relative to Hamish R.C. Smith Hamish R.C. Smith (= 1×) peers Keith A. Daniels

Countries citing papers authored by Hamish R.C. Smith

Since Specialization

Citations

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

Fields of papers citing papers by Hamish R.C. Smith

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hamish R.C. Smith. 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 Hamish R.C. Smith. The network helps show where Hamish R.C. Smith may publish in the future.

Co-authorship network of co-authors of Hamish R.C. Smith

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

All Works

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16 of 16 papers shown

Holmes, Derek A, Eric Suto, Wyne P. Lee, et al.. (2015). Autoimmunity-associated protein tyrosine phosphatase PEP negatively regulates IFN-α receptor signaling. The Journal of Experimental Medicine. 212(7). 1081–1093. 22 indexed citations

Yokoyama, Wayne M., Amy Reichlin, David H. Margulies, & Hamish R.C. Smith. (2015). MHC Class I-Dependent and -Independent NK Cell Specificity. Chemical immunology/Fortschritte der Allergielehre/Progress in allergy/Chemical immunology and allergy. 64. 1–18.

Tripathy, Sandeep K., et al.. (2005). Expression of m157, a Murine Cytomegalovirus-Encoded Putative Major Histocompatibility Class I (MHC-I)-Like Protein, Is Independent of Viral Regulation of Host MHC-I. Journal of Virology. 80(1). 545–550. 38 indexed citations

Dorner, Brigitte G., Hamish R.C. Smith, Anthony R. French, et al.. (2004). Coordinate Expression of Cytokines and Chemokines by NK Cells during Murine Cytomegalovirus Infection. The Journal of Immunology. 172(5). 3119–3131. 107 indexed citations

Voigt, Valentina, Catherine A. Forbes, Joanne Tonkin, et al.. (2003). Murine cytomegalovirus m157 mutation and variation leads to immune evasion of natural killer cells. Proceedings of the National Academy of Sciences. 100(23). 13483–13488. 152 indexed citations

Smith, Hamish R.C., Jonathan W. Heusel, Sung‐Jin Kim, et al.. (2002). Recognition of a virus-encoded ligand by a natural killer cell activation receptor. Proceedings of the National Academy of Sciences. 99(13). 8826–8831. 615 indexed citations breakdown →

Ho, Emily, Leonidas N. Carayannopoulos, Jennifer Poursine‐Laurent, et al.. (2002). Costimulation of Multiple NK Cell Activation Receptors by NKG2D. The Journal of Immunology. 169(7). 3667–3675. 94 indexed citations

Dokun, Ayotunde O., et al.. (2001). Specific and nonspecific NK cell activation during virus infection. Nature Immunology. 2(10). 951–956. 381 indexed citations

Smith, Hamish R.C., et al.. (2001). A “Chimeric” C57L-Derived Ly49 Inhibitory Receptor Resembling the Ly49D Activation Receptor. Cellular Immunology. 209(1). 29–41. 25 indexed citations

10.

Smith, Hamish R.C., Azza H. Idris, & Wayne M. Yokoyama. (2001). Murine natural killer cell activation receptors. Immunological Reviews. 181(1). 115–125. 30 indexed citations

11.

Brown, Michael G., Ayotunde O. Dokun, Jonathan W. Heusel, et al.. (2001). Vital Involvement of a Natural Killer Cell Activation Receptor in Resistance to Viral Infection. Science. 292(5518). 934–937. 512 indexed citations breakdown →

12.

Smith, Hamish R.C., et al.. (2001). A ‘Chimeric’ C57L-Derived Ly49 Inhibitory Receptor Resembling the Ly49D Activation Receptor. Cellular Immunology. 212(2). 158–158. 1 indexed citations

13.

Smith, Hamish R.C., et al.. (2000). Nonstochastic Coexpression of Activation Receptors on Murine Natural Killer Cells. The Journal of Experimental Medicine. 191(8). 1341–1354. 107 indexed citations

14.

Idris, Azza H., Hamish R.C. Smith, Llewellyn H. Mason, et al.. (1999). The natural killer gene complex genetic locusChokencodes Ly-49D, a target recognition receptor that activates natural killing. Proceedings of the National Academy of Sciences. 96(11). 6330–6335. 74 indexed citations

15.

Idris, Azza H., Koho Iizuka, Hamish R.C. Smith, Anthony A. Scalzo, & Wayne M. Yokoyama. (1998). Genetic Control Of Natural Killing and In Vivo Tumor Elimination by the Chok Locus. The Journal of Experimental Medicine. 188(12). 2243–2256. 40 indexed citations

16.

Yokoyama, Wayne M., et al.. (1995). A family of murine NK cell receptors specific for target cell MHC class I molecules. Seminars in Immunology. 7(2). 89–101. 44 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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