T M Daly

867 total citations
15 papers, 766 citations indexed

About

T M Daly is a scholar working on Public Health, Environmental and Occupational Health, Molecular Biology and Immunology. According to data from OpenAlex, T M Daly has authored 15 papers receiving a total of 766 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Public Health, Environmental and Occupational Health, 7 papers in Molecular Biology and 5 papers in Immunology. Recurrent topics in T M Daly's work include Malaria Research and Control (9 papers), vaccines and immunoinformatics approaches (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). T M Daly is often cited by papers focused on Malaria Research and Control (9 papers), vaccines and immunoinformatics approaches (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). T M Daly collaborates with scholars based in United States. T M Daly's co-authors include Carole A. Long, Carol A. Long, C A Long, William P. Weidanz, James M. Burns, Akhil B. Vaidya, Lisa A. Cavacini, I Srivastava, Peter E. Kima and Heesun J. Rogers and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology and Journal of Virology.

In The Last Decade

T M Daly

15 papers receiving 723 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
T M Daly United States 12 613 358 203 135 71 15 766
E M Riley United Kingdom 15 743 1.2× 484 1.4× 273 1.3× 139 1.0× 92 1.3× 20 1.0k
D E Hudson United States 12 504 0.8× 266 0.7× 117 0.6× 122 0.9× 53 0.7× 13 622
W. Wollish United States 8 656 1.1× 299 0.8× 164 0.8× 134 1.0× 109 1.5× 8 821
Susan M. Kraemer United States 12 829 1.4× 435 1.2× 231 1.1× 123 0.9× 87 1.2× 13 1.0k
Jenny Thompson Australia 10 619 1.0× 258 0.7× 174 0.9× 101 0.7× 79 1.1× 11 721
Jennifer L. Cole‐Tobian United States 11 788 1.3× 409 1.1× 108 0.5× 190 1.4× 72 1.0× 12 855
Ahmad Rushdi Shakri India 13 494 0.8× 280 0.8× 152 0.7× 75 0.6× 80 1.1× 20 619
Christian Epp Germany 13 556 0.9× 275 0.8× 221 1.1× 124 0.9× 88 1.2× 16 737
Boubacar Coulibaly Burkina Faso 17 513 0.8× 341 1.0× 210 1.0× 72 0.5× 71 1.0× 54 885
S Kyes United States 12 394 0.6× 514 1.4× 114 0.6× 60 0.4× 123 1.7× 14 805

Countries citing papers authored by T M Daly

Since Specialization
Citations

This map shows the geographic impact of T M Daly'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 T M Daly with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T M Daly more than expected).

Fields of papers citing papers by T M Daly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T M Daly. 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 T M Daly. The network helps show where T M Daly may publish in the future.

Co-authorship network of co-authors of T M Daly

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

All Works

15 of 15 papers shown
2.
Nakashima, Megan O., et al.. (2016). Validation of a panel of ADAMTS13 assays for diagnosis of thrombotic thrombocytopenic purpura: activity, functional inhibitor, and autoantibody test. International Journal of Laboratory Hematology. 38(5). 550–559. 22 indexed citations
3.
Stewart, Darren, et al.. (2015). Trends and Patterns in Reporting of Patient Safety Situations in Transplantation. American Journal of Transplantation. 15(12). 3123–3133. 12 indexed citations
4.
Farrington, Daphne L., Jonathan M. Yingling, Lei Yan, et al.. (2007). Development and validation of a phosphorylated SMADex vivostimulation assay. Biomarkers. 12(3). 313–330. 17 indexed citations
5.
Daly, T M, et al.. (2004). Regulation by phosphorylation of Pho81p, a cyclin-dependent kinase inhibitor in Saccharomyces cerevisiae. Current Genetics. 46(1). 10–19. 11 indexed citations
6.
Daly, T M & Carole A. Long. (1996). Influence of adjuvants on protection induced by a recombinant fusion protein against malarial infection. Infection and Immunity. 64(7). 2602–2608. 46 indexed citations
7.
8.
Long, Carole A., T M Daly, Peter E. Kima, & I Srivastava. (1994). Immunity to Erythrocytic Stages of Malarial Parasites. American Journal of Tropical Medicine and Hygiene. 50(4_Suppl). 27–32. 20 indexed citations
9.
12.
Burns, James M., T M Daly, Akhil B. Vaidya, & C A Long. (1988). The 3' portion of the gene for a Plasmodium yoelii merozoite surface antigen encodes the epitope recognized by a protective monoclonal antibody.. Proceedings of the National Academy of Sciences. 85(2). 602–606. 40 indexed citations
13.
14.
Daly, T M, et al.. (1984). Passive immunization against murine malaria with an IgG3 monoclonal antibody.. The Journal of Immunology. 132(6). 3131–3137. 131 indexed citations
15.
Sheffield, Joel B., et al.. (1976). Effect of trypsin on mouse mammary tumor virus. Journal of Virology. 19(1). 255–266. 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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