Dale M. Goss

452 total citations
11 papers, 75 citations indexed

About

Dale M. Goss is a scholar working on Public Health, Environmental and Occupational Health, Reproductive Medicine and Molecular Biology. According to data from OpenAlex, Dale M. Goss has authored 11 papers receiving a total of 75 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Public Health, Environmental and Occupational Health, 6 papers in Reproductive Medicine and 3 papers in Molecular Biology. Recurrent topics in Dale M. Goss's work include Sperm and Testicular Function (6 papers), Reproductive Biology and Fertility (6 papers) and Extracellular vesicles in disease (3 papers). Dale M. Goss is often cited by papers focused on Sperm and Testicular Function (6 papers), Reproductive Biology and Fertility (6 papers) and Extracellular vesicles in disease (3 papers). Dale M. Goss collaborates with scholars based in Australia, South Africa and France. Dale M. Goss's co-authors include Steven Vasilescu, David K. Gardner, Majid Ebrahimi Warkiani, Gavin L. Sacks, Robert B. Gilchrist, Lindsay E. Wu, Michael J. Bertoldo, Jared M. Campbell, William J. Ledger and Ewa M. Goldys and has published in prestigious journals such as Human Reproduction, Lab on a Chip and Advanced Healthcare Materials.

In The Last Decade

Dale M. Goss

10 papers receiving 72 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dale M. Goss Australia 6 31 30 25 10 9 11 75
Pankaj Talwar India 4 22 0.7× 31 1.0× 15 0.6× 4 0.4× 26 2.9× 7 71
Carmen Sancho‐Serra United Kingdom 5 15 0.5× 26 0.9× 103 4.1× 4 0.4× 33 3.7× 6 158
Karin Kast Germany 3 30 1.0× 18 0.6× 38 1.5× 10 1.0× 4 0.4× 5 88
Slobodan Lazarevski North Macedonia 3 26 0.8× 12 0.4× 24 1.0× 21 2.1× 7 0.8× 5 51
Patricia Lorden Spain 3 15 0.5× 54 1.8× 78 3.1× 21 2.1× 5 0.6× 3 118
Jasmine Aly United States 6 39 1.3× 23 0.8× 7 0.3× 3 0.3× 11 1.2× 15 72
Christopher Crum United States 4 6 0.2× 5 0.2× 13 0.5× 6 0.6× 3 0.3× 5 52
Vasil Mico United States 2 12 0.4× 29 1.0× 32 1.3× 3 0.3× 4 0.4× 5 59
Jeffrey Hsu United States 5 18 0.6× 13 0.4× 15 0.6× 3 0.3× 23 2.6× 7 91
Shaghayegh Zokaei Iran 6 6 0.2× 11 0.4× 23 0.9× 2 0.2× 8 0.9× 12 83

Countries citing papers authored by Dale M. Goss

Since Specialization
Citations

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

Fields of papers citing papers by Dale M. Goss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dale M. Goss

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

All Works

11 of 11 papers shown
2.
Nazari, Hojjatollah, et al.. (2024). Impact of brain organoid-derived sEVs on metastatic adaptation and invasion of breast carcinoma cells through a microphysiological system. Lab on a Chip. 24(14). 3434–3455. 3 indexed citations
3.
Zhand, Sareh, Dale M. Goss, Yuen Yee Cheng, & Majid Ebrahimi Warkiani. (2024). Recent Advances in Microfluidics for Nucleic Acid Analysis of Small Extracellular Vesicles in Cancer. Advanced Healthcare Materials. 14(4). e2401295–e2401295. 2 indexed citations
4.
Goss, Dale M., et al.. (2024). Evaluation of an artificial intelligence-facilitated sperm detection tool in azoospermic samples for use in ICSI. Reproductive BioMedicine Online. 49(1). 103910–103910. 6 indexed citations
5.
Vasilescu, Steven, Dale M. Goss, Rebecca L. Kelley, et al.. (2024). A biomimetic sperm selection device for routine sperm selection. Reproductive BioMedicine Online. 50(2). 104433–104433. 4 indexed citations
6.
Goss, Dale M., et al.. (2023). O-136 Artificial intelligence to assist in surgical sperm detection and isolation. Human Reproduction. 38(Supplement_1). 2 indexed citations
7.
Campbell, Jared M., Saabah B. Mahbub, Michael J. Bertoldo, et al.. (2022). Multispectral autofluorescence characteristics of reproductive aging in old and young mouse oocytes. Biogerontology. 23(2). 237–249. 16 indexed citations
8.
Habibalahi, Abbas, Jared M. Campbell, Michael J. Bertoldo, et al.. (2022). Unique Deep Radiomic Signature Shows NMN Treatment Reverses Morphology of Oocytes from Aged Mice. Biomedicines. 10(7). 1544–1544. 9 indexed citations
9.
Goss, Dale M., Steven Vasilescu, Gavin L. Sacks, David K. Gardner, & Majid Ebrahimi Warkiani. (2022). Microfluidics facilitating the use of small extracellular vesicles in innovative approaches to male infertility. Nature Reviews Urology. 20(2). 66–95. 22 indexed citations
10.
Goss, Dale M., et al.. (2019). Improved sperm motility after 4 h of ejaculatory abstinence: role of accessory sex gland secretions. Reproduction Fertility and Development. 31(5). 1009–1016. 5 indexed citations
11.
Goss, Dale M., et al.. (2016). Ameliorative potentials of quercetin against cotinine-induced toxic effects on human spermatozoa. Asian Pacific Journal of Reproduction. 5(3). 193–197. 6 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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