Erica V. Todd

43 total papers · 1.3k total citations
24 papers, 806 citations indexed

About

Erica V. Todd is a scholar working on Genetics, Physiology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Erica V. Todd has authored 24 papers receiving a total of 806 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Genetics, 13 papers in Physiology and 8 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Erica V. Todd's work include Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (14 papers), Reproductive biology and impacts on aquatic species (13 papers) and Animal Behavior and Reproduction (8 papers). Erica V. Todd is often cited by papers focused on Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (14 papers), Reproductive biology and impacts on aquatic species (13 papers) and Animal Behavior and Reproduction (8 papers). Erica V. Todd collaborates with scholars based in New Zealand, Australia and United States. Erica V. Todd's co-authors include Neil J. Gemmell, Michael A. Black, Alexander Goikoetxea, Hui Liu, Timothy A. Hore, Oscar Ortega‐Recalde, Melissa S. Lamm, John Godwin, P. Mark Lokman and Hui Liu and has published in prestigious journals such as PLoS ONE, Scientific Reports and Proceedings of the Royal Society B Biological Sciences.

In The Last Decade

Erica V. Todd

23 papers receiving 799 citations

Author Peers

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

Author						Papers	Cites
Erica V. Todd	476	339	194	170	153	24	806
Victoria Metcalf	219 0.5×	169 0.5×	214 1.1×	192 1.1×	253 1.7×	15	903
Kohei Ohta	622 1.3×	522 1.5×	207 1.1×	68 0.4×	95 0.6×	47	1.0k
Chutian Ge	667 1.4×	215 0.6×	326 1.7×	130 0.8×	71 0.5×	38	960
Yan‐Horn Lee	525 1.1×	606 1.8×	69 0.4×	67 0.4×	231 1.5×	37	974
James W. Atz	162 0.3×	319 0.9×	112 0.6×	96 0.6×	211 1.4×	27	972
Bo Fernholm	201 0.4×	123 0.4×	192 1.0×	59 0.3×	300 2.0×	42	809
Guan-Chung Wu	759 1.6×	634 1.9×	227 1.2×	96 0.6×	64 0.4×	42	992
Mairi Cowan	308 0.6×	302 0.9×	75 0.4×	42 0.2×	116 0.8×	20	706
Hajime Kitano	482 1.0×	426 1.3×	154 0.8×	55 0.3×	53 0.3×	42	887
Arati Iyengar	518 1.1×	83 0.2×	505 2.6×	82 0.5×	271 1.8×	43	995

Countries citing papers authored by Erica V. Todd

Since Specialization

Citations

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

Fields of papers citing papers by Erica V. Todd

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Erica V. Todd. 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 Erica V. Todd. The network helps show where Erica V. Todd may publish in the future.

Co-authorship network of co-authors of Erica V. Todd

This figure shows the co-authorship network connecting the top 25 collaborators of Erica V. Todd. A scholar is included among the top collaborators of Erica V. Todd 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 Erica V. Todd. Erica V. Todd 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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