Margaret E. Diamond

576 total citations
9 papers, 477 citations indexed

About

Margaret E. Diamond is a scholar working on Epidemiology, Immunology and Ecology. According to data from OpenAlex, Margaret E. Diamond has authored 9 papers receiving a total of 477 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Epidemiology, 3 papers in Immunology and 2 papers in Ecology. Recurrent topics in Margaret E. Diamond's work include Influenza Virus Research Studies (2 papers), interferon and immune responses (2 papers) and Viral-associated cancers and disorders (2 papers). Margaret E. Diamond is often cited by papers focused on Influenza Virus Research Studies (2 papers), interferon and immune responses (2 papers) and Viral-associated cancers and disorders (2 papers). Margaret E. Diamond collaborates with scholars based in United States and Panama. Margaret E. Diamond's co-authors include John L. Yates, Jeremy A. Bruenn, Eldredge Bermingham, Mary Alice Coffroth, Howard R. Lasker, Norbert J. Roberts, R. Gordon Douglas, Joyce D. Fingeroth, David R. Sage and Chia‐Ling Tu and has published in prestigious journals such as Nucleic Acids Research, The Journal of Immunology and Journal of Virology.

In The Last Decade

Margaret E. Diamond

9 papers receiving 457 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Margaret E. Diamond United States 6 160 139 121 108 76 9 477
Gene H. MacDonald United States 15 93 0.6× 86 0.6× 319 2.6× 300 2.8× 374 4.9× 18 1.1k
Jianyong Liu China 15 329 2.1× 109 0.8× 257 2.1× 188 1.7× 244 3.2× 46 831
Trevor Tivey United States 9 77 0.5× 82 0.6× 30 0.2× 182 1.7× 95 1.3× 14 389
Mark M. Tsai United States 8 59 0.4× 72 0.5× 111 0.9× 56 0.5× 49 0.6× 10 341
Richard A. Kane United Kingdom 20 50 0.3× 629 4.5× 106 0.9× 37 0.3× 68 0.9× 31 1.0k
Priya Bellare United States 7 283 1.8× 95 0.7× 275 2.3× 104 1.0× 685 9.0× 8 1.1k
George Kasnic United States 7 57 0.4× 46 0.3× 73 0.6× 126 1.2× 68 0.9× 15 411
Azita J. Mahiny Germany 8 104 0.7× 123 0.9× 54 0.4× 442 4.1× 441 5.8× 10 961
Tanja Sonntag Germany 11 99 0.6× 128 0.9× 127 1.0× 97 0.9× 111 1.5× 12 577
Pranvera Ikonomi United States 13 57 0.4× 194 1.4× 45 0.4× 106 1.0× 487 6.4× 15 811

Countries citing papers authored by Margaret E. Diamond

Since Specialization
Citations

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

Fields of papers citing papers by Margaret E. Diamond

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Margaret E. Diamond. 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 Margaret E. Diamond. The network helps show where Margaret E. Diamond may publish in the future.

Co-authorship network of co-authors of Margaret E. Diamond

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

All Works

9 of 9 papers shown
1.
Korth, William W. & Margaret E. Diamond. (2002). Review of Leptomeryx (Artiodactyla, Leptomeryicidae) from the Orellan (Oligocene) of Nebraska. Annals of Carnegie Museum. 71(2). 107–129. 3 indexed citations
2.
Diamond, Margaret E., et al.. (1999). Genetic Evidence that EBNA-1 Is Needed for Efficient, Stable Latent Infection by Epstein-Barr Virus. Journal of Virology. 73(4). 2974–2982. 108 indexed citations
3.
Fingeroth, Joyce D., et al.. (1999). CD21-Dependent Infection of an Epithelial Cell Line, 293, by Epstein-Barr Virus. Journal of Virology. 73(3). 2115–2125. 64 indexed citations
4.
Winter, David B., et al.. (1995). Allelic differences in the VHOx-1 gene explain the absence of a B cell clonal dominance in the primary response of C57BL/6 mice to phthalate. The Journal of Immunology. 155(5). 2445–2452. 4 indexed citations
5.
Coffroth, Mary Alice, Howard R. Lasker, Margaret E. Diamond, Jeremy A. Bruenn, & Eldredge Bermingham. (1992). DNA fingerprints of a gorgonian coral: a method for detecting clonal structure in a vegetative species. Marine Biology. 114(2). 317–325. 141 indexed citations
6.
Bruenn, Jeremy A., et al.. (1989). Similarity between the picornavirus VP3 capsid polypeptide and theSaccharomyces cerevisiaevirus capsid polypeptide. Nucleic Acids Research. 17(18). 7487–7493. 4 indexed citations
7.
Diamond, Margaret E., et al.. (1989). Overlapping genes in a yeast double-stranded RNA virus. Journal of Virology. 63(9). 3983–3990. 67 indexed citations
8.
Roberts, Norbert J., et al.. (1980). Mitogen responses and interferon production after exposure of human macrophages to infectious and inactivated influenza viruses. Journal of Medical Virology. 5(1). 17–23. 14 indexed citations
9.
Roberts, Norbert J., et al.. (1979). Virus-Induced Interferon Production by Human Macrophages. The Journal of Immunology. 123(1). 365–369. 72 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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