Danielle Goodspeed

31 total papers · 712 total citations
13 papers, 564 citations indexed

About

Danielle Goodspeed is a scholar working on Pediatrics, Perinatology and Child Health, Molecular Biology and Plant Science. According to data from OpenAlex, Danielle Goodspeed has authored 13 papers receiving a total of 564 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pediatrics, Perinatology and Child Health, 6 papers in Molecular Biology and 4 papers in Plant Science. Recurrent topics in Danielle Goodspeed's work include Birth, Development, and Health (7 papers), Epigenetics and DNA Methylation (3 papers) and Genomics, phytochemicals, and oxidative stress (2 papers). Danielle Goodspeed is often cited by papers focused on Birth, Development, and Health (7 papers), Epigenetics and DNA Methylation (3 papers) and Genomics, phytochemicals, and oxidative stress (2 papers). Danielle Goodspeed collaborates with scholars based in United States, Switzerland and Denmark. Danielle Goodspeed's co-authors include Janet Braam, E. Wassim Chehab, Michael F. Covington, Amelia Min-Venditti, Daniel J. Kliebenstein, Kjersti M. Aagaard, Maxim D. Seferovic, Marta Francisco, Michael Fischer and Werner Boll and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Current Biology.

In The Last Decade

Danielle Goodspeed

13 papers receiving 549 citations

Author Peers

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

Author						Papers	Cites
Danielle Goodspeed	348	215	96	79	73	13	564
Yanping Wei	197 0.6×	414 1.9×	80 0.8×	11 0.1×	18 0.2×	17	624
Matthew Sieber	48 0.1×	289 1.3×	83 0.9×	114 1.4×	43 0.6×	15	652
Laura A. Gumprecht	331 1.0×	164 0.8×	13 0.1×	27 0.3×	46 0.6×	9	604
Sophie Obrecht‐Pflumio	343 1.0×	197 0.9×	29 0.3×	60 0.8×	20 0.3×	13	675
Ana Román	358 1.0×	117 0.5×	17 0.2×	16 0.2×	49 0.7×	9	595
Pan-Young Jeong	115 0.3×	186 0.9×	41 0.4×	69 0.9×	13 0.2×	15	553
F Maritato	124 0.4×	112 0.5×	70 0.7×	8 0.1×	22 0.3×	20	651
Qi‐Xian Shi	66 0.2×	221 1.0×	71 0.7×	30 0.4×	17 0.2×	23	672
R. A. Nicholson	222 0.6×	146 0.7×	78 0.8×	376 4.8×	72 1.0×	16	671
Lisa Girard	205 0.6×	264 1.2×	82 0.9×	13 0.2×	6 0.1×	13	512

Countries citing papers authored by Danielle Goodspeed

Since Specialization

Citations

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

Fields of papers citing papers by Danielle Goodspeed

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danielle Goodspeed. 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 Danielle Goodspeed. The network helps show where Danielle Goodspeed may publish in the future.

Co-authorship network of co-authors of Danielle Goodspeed

This figure shows the co-authorship network connecting the top 25 collaborators of Danielle Goodspeed. A scholar is included among the top collaborators of Danielle Goodspeed 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 Danielle Goodspeed. Danielle Goodspeed 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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