T. G. McDaneld

63 total papers · 2.4k total citations
40 papers, 947 citations indexed

About

T. G. McDaneld is a scholar working on Genetics, Molecular Biology and Cancer Research. According to data from OpenAlex, T. G. McDaneld has authored 40 papers receiving a total of 947 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Genetics, 13 papers in Molecular Biology and 12 papers in Cancer Research. Recurrent topics in T. G. McDaneld's work include Genetic and phenotypic traits in livestock (17 papers), Genetic Mapping and Diversity in Plants and Animals (16 papers) and Cancer-related molecular mechanisms research (11 papers). T. G. McDaneld is often cited by papers focused on Genetic and phenotypic traits in livestock (17 papers), Genetic Mapping and Diversity in Plants and Animals (16 papers) and Cancer-related molecular mechanisms research (11 papers). T. G. McDaneld collaborates with scholars based in United States, Ireland and Brazil. T. G. McDaneld's co-authors include Timothy P. L. Smith, L. A. Kuehn, J. W. Keele, W. M. Snelling, Tad S. Sonstegard, Gary L. Bennett, R. M. Thallman, Ralph T. Wiedmann, Jeremy R. Miles and M. F. Allan and has published in prestigious journals such as PLoS ONE, Frontiers in Microbiology and Journal of Animal Science.

In The Last Decade

T. G. McDaneld

38 papers receiving 920 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
T. G. McDaneld	524	301	288	184	120	40	947
Sameer D. Pant	328 0.6×	219 0.7×	324 1.1×	160 0.9×	117 1.0×	69	903
P. C. Tizioto	493 0.9×	218 0.7×	264 0.9×	161 0.9×	193 1.6×	48	850
H. C. Hines	628 1.2×	146 0.5×	175 0.6×	308 1.7×	114 0.9×	55	1.1k
Binyun Cao	412 0.8×	277 0.9×	393 1.4×	167 0.9×	73 0.6×	58	867
Giulietta Minozzi	278 0.5×	118 0.4×	235 0.8×	248 1.3×	89 0.7×	59	918
Ingolf Ruß	962 1.8×	185 0.6×	194 0.7×	224 1.2×	67 0.6×	40	1.1k
Jennifer M. Thomson	469 0.9×	97 0.3×	346 1.2×	404 2.2×	227 1.9×	42	1.2k
Maria Giuseppina Strillacci	636 1.2×	126 0.4×	247 0.9×	152 0.8×	166 1.4×	68	849
Lingzhao Fang	786 1.5×	406 1.3×	451 1.6×	265 1.4×	96 0.8×	83	1.2k
E. Lipkin	693 1.3×	149 0.5×	256 0.9×	226 1.2×	114 0.9×	42	1.0k

Countries citing papers authored by T. G. McDaneld

Since Specialization

Citations

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

Fields of papers citing papers by T. G. McDaneld

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. G. McDaneld

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

All Works

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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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