Summer G. Goodson

715 total citations
9 papers, 530 citations indexed

About

Summer G. Goodson is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health and Physiology. According to data from OpenAlex, Summer G. Goodson has authored 9 papers receiving a total of 530 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Reproductive Medicine, 5 papers in Public Health, Environmental and Occupational Health and 2 papers in Physiology. Recurrent topics in Summer G. Goodson's work include Sperm and Testicular Function (6 papers), Reproductive Biology and Fertility (5 papers) and Ovarian function and disorders (2 papers). Summer G. Goodson is often cited by papers focused on Sperm and Testicular Function (6 papers), Reproductive Biology and Fertility (5 papers) and Ovarian function and disorders (2 papers). Summer G. Goodson collaborates with scholars based in United States and China. Summer G. Goodson's co-authors include Deborah A. O’Brien, Robert K. Rude, Jerry L. Nadler, Wei Wang, James K. Tsuruta, Zhaojun Zhang, Keith A. Sutton, Guoxiang Xie, Yunping Qiu and Wei Jia and has published in prestigious journals such as Genetics, Hypertension and Biology of Reproduction.

In The Last Decade

Summer G. Goodson

8 papers receiving 519 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Summer G. Goodson United States 7 211 197 152 87 68 9 530
Byoung‐Chul Yang South Korea 13 93 0.4× 209 1.1× 209 1.4× 59 0.7× 127 1.9× 45 562
Oddrun Johnsen Sweden 8 172 0.8× 95 0.5× 95 0.6× 65 0.7× 84 1.2× 13 471
Laura Governini Italy 17 304 1.4× 182 0.9× 168 1.1× 86 1.0× 55 0.8× 35 696
Kou Sueoka Japan 14 267 1.3× 348 1.8× 201 1.3× 17 0.2× 107 1.6× 39 781
William E. Findley United States 9 252 1.2× 226 1.1× 139 0.9× 27 0.3× 36 0.5× 13 529
Handan Can Türkiye 11 42 0.2× 106 0.5× 316 2.1× 29 0.3× 82 1.2× 24 607
Giuliana Cordeschi Italy 15 493 2.3× 319 1.6× 214 1.4× 38 0.4× 156 2.3× 25 807
María Belén Rabaglino United States 19 126 0.6× 238 1.2× 173 1.1× 33 0.4× 231 3.4× 71 928
Mariana Camargo Brazil 17 529 2.5× 273 1.4× 155 1.0× 52 0.6× 115 1.7× 38 747
Gayatri Mohanty India 8 424 2.0× 310 1.6× 158 1.0× 51 0.6× 105 1.5× 14 602

Countries citing papers authored by Summer G. Goodson

Since Specialization
Citations

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

Fields of papers citing papers by Summer G. Goodson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Summer G. Goodson

This figure shows the co-authorship network connecting the top 25 collaborators of Summer G. Goodson. A scholar is included among the top collaborators of Summer G. Goodson 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 Summer G. Goodson. Summer G. Goodson 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.
Xie, Guoxiang, Deborah A. O’Brien, Summer G. Goodson, et al.. (2020). Metabolic Substrates Exhibit Differential Effects on Functional Parameters of Mouse Sperm Capacitation. UNC Libraries.
2.
Goodson, Summer G., et al.. (2017). CASAnova: a multiclass support vector machine model for the classification of human sperm motility patterns†. Biology of Reproduction. 97(5). 698–708. 43 indexed citations
3.
Huang, Zaohua, et al.. (2017). Sperm function, protein phosphorylation, and metabolism differ in mice lacking successive sperm-specific glycolytic enzymes†. Biology of Reproduction. 97(4). 586–597. 21 indexed citations
4.
Odet, Fanny, Timothy A. Bell, Summer G. Goodson, et al.. (2015). The Founder Strains of the Collaborative Cross Express a Complex Combination of Advantageous and Deleterious Traits for Male Reproduction. G3 Genes Genomes Genetics. 5(12). 2671–2683. 22 indexed citations
5.
Goodson, Summer G., Yunping Qiu, Keith A. Sutton, et al.. (2012). Metabolic Substrates Exhibit Differential Effects on Functional Parameters of Mouse Sperm Capacitation1. Biology of Reproduction. 87(3). 75–75. 90 indexed citations
6.
Goodson, Summer G., Zhaojun Zhang, James K. Tsuruta, Wei Wang, & Deborah A. O’Brien. (2011). Classification of Mouse Sperm Motility Patterns Using an Automated Multiclass Support Vector Machines Model1. Biology of Reproduction. 84(6). 1207–1215. 127 indexed citations
7.
Raymond, Adam, et al.. (2003). Functional Genomics Reveals Relationships Between the Retrovirus-Like Ty1 Element and Its Host Saccharomyces cerevisiae. Genetics. 164(3). 867–879. 78 indexed citations
8.
Nadler, Jerry L., Summer G. Goodson, & Robert K. Rude. (1987). Evidence that prostacyclin mediates the vascular action of magnesium in humans.. Hypertension. 9(4). 379–383. 146 indexed citations
9.
Goodson, Summer G., et al.. (1987). Role of lipoxygenase metabolites in angiotensin-induced aldosterone synthesis.. PubMed. 17B. 701–3. 3 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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