Scott Edmunds

19.1k total citations
27 papers, 800 citations indexed

About

Scott Edmunds is a scholar working on Molecular Biology, Information Systems and Management and Ecology. According to data from OpenAlex, Scott Edmunds has authored 27 papers receiving a total of 800 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 12 papers in Information Systems and Management and 7 papers in Ecology. Recurrent topics in Scott Edmunds's work include Scientific Computing and Data Management (11 papers), Genomics and Phylogenetic Studies (5 papers) and Research Data Management Practices (5 papers). Scott Edmunds is often cited by papers focused on Scientific Computing and Data Management (11 papers), Genomics and Phylogenetic Studies (5 papers) and Research Data Management Practices (5 papers). Scott Edmunds collaborates with scholars based in United Kingdom, United States and Botswana. Scott Edmunds's co-authors include Laurie Goodman, Alexandra Basford, David P. Kelsell, Peter Li, Ian A. Cree, Tam P. Sneddon, John L. Hungerford, Jeremy Hurren, Federica Di Nicolantonio and Yatin Patel and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and PLoS ONE.

In The Last Decade

Scott Edmunds

25 papers receiving 774 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Scott Edmunds United Kingdom 13 429 99 97 91 90 27 800
Varsha Khodiyar United Kingdom 13 497 1.2× 193 1.9× 34 0.4× 31 0.3× 134 1.5× 21 1.5k
José M. Fernández Spain 16 479 1.1× 188 1.9× 111 1.1× 87 1.0× 81 0.9× 46 1.1k
Jan Walters Kruger Germany 8 1.1k 2.6× 99 1.0× 168 1.7× 83 0.9× 28 0.3× 29 1.7k
Mary Mangan United States 10 1.1k 2.6× 247 2.5× 167 1.7× 168 1.8× 127 1.4× 13 1.6k
Linda I. Hannick United States 10 535 1.2× 125 1.3× 165 1.7× 92 1.0× 77 0.9× 15 1.1k
Osamu Ogasawara Japan 19 898 2.1× 143 1.4× 74 0.8× 111 1.2× 38 0.4× 32 1.2k
Guruprasad Ananda United States 17 1.1k 2.7× 354 3.6× 234 2.4× 184 2.0× 112 1.2× 30 1.8k
Johanna McEntyre United Kingdom 17 563 1.3× 98 1.0× 50 0.5× 49 0.5× 75 0.8× 35 835
Andrew Yates United Kingdom 14 1.1k 2.5× 317 3.2× 321 3.3× 93 1.0× 68 0.8× 30 1.6k
Laura Ponting United Kingdom 7 1.5k 3.4× 365 3.7× 113 1.2× 53 0.6× 33 0.4× 8 2.2k

Countries citing papers authored by Scott Edmunds

Since Specialization
Citations

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

Fields of papers citing papers by Scott Edmunds

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Scott Edmunds

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

All Works

20 of 20 papers shown
1.
Mu, Weixue, Wing‐Kin Sung, Xing Guo, et al.. (2025). The haplotype-resolved T2T genome for Bauhinia × blakeana sheds light on the genetic basis of flower heterosis. GigaScience. 14. 1 indexed citations
2.
Vasilevsky, Nicole, Mohammad Hosseini, Ehsan Mohammadi, et al.. (2020). Is authorship sufficient for today’s collaborative research? A call for contributor roles. Accountability in Research. 28(1). 23–43. 45 indexed citations
3.
Vasilevsky, Nicole, Mohammad Hosseini, Ehsan Mohammadi, et al.. (2020). Major challenges on authorship and concept of authorship - why is something more needed on contributorship?.
4.
Armit, Chris, Scott Edmunds, Laurie Goodman, et al.. (2019). Increased interactivity and improvements to the GigaScience database, GigaDB. Database. 2019. 5 indexed citations
5.
Sansone, Susanna‐Assunta, et al.. (2019). FAIRsharing Collaboration with DataCite and Publishers: Data Repository Selection, Criteria That Matter. OSF Preprints (OSF Preprints). 2 indexed citations
6.
Sharif, Naubahar, et al.. (2018). An Open Science 'State of the Art' for Hong Kong: Making Open Research Data Available to Support Hong Kong Innovation Policy. SHILAP Revista de lepidopterología. 17(2). 200–221. 2 indexed citations
7.
Penev, Lyubomir, Daniel Mietchen, Vishwas Chavan, et al.. (2017). Strategies and guidelines for scholarly publishing of biodiversity data. SHILAP Revista de lepidopterología. 3. e12431–e12431. 42 indexed citations
8.
Edmunds, Scott, et al.. (2016). Experiences in integrated data and research object publishing using GigaDB. International Journal on Digital Libraries. 18(2). 99–111. 12 indexed citations
9.
Kenall, Amye, Scott Edmunds, Laurie Goodman, et al.. (2015). Better reporting for better research: a checklist for reproducibility. GigaScience. 4(1). 32–32. 11 indexed citations
10.
González-Beltrán, Alejandra, Peter Li, Jun Zhao, et al.. (2015). From Peer-Reviewed to Peer-Reproduced in Scholarly Publishing: The Complementary Roles of Data Models and Workflows in Bioinformatics. PLoS ONE. 10(7). e0127612–e0127612. 23 indexed citations
11.
Kenall, Amye, Scott Edmunds, Laurie Goodman, et al.. (2015). Better reporting for better research: a checklist for reproducibility. BMC Neuroscience. 16(1). 44–44. 7 indexed citations
12.
Sneddon, Tam P., et al.. (2014). GigaDB: promoting data dissemination and reproducibility. Database. 2014(0). bau018–bau018. 15 indexed citations
13.
Edmunds, Scott, et al.. (2012). Adventures in data citation: sorghum genome data exemplifies the new gold standard. BMC Research Notes. 5(1). 223–223. 12 indexed citations
14.
Sneddon, Tam P., Peter Li, & Scott Edmunds. (2012). GigaDB: announcing the GigaScience database. GigaScience. 1(1). 11–11. 52 indexed citations
15.
Goodman, Laurie, Scott Edmunds, & Alexandra Basford. (2012). Large and linked in scientific publishing. GigaScience. 1(1). 1–1. 156 indexed citations
16.
Gilbert, Jack A., Yīmíng Bào, Hui Wang, et al.. (2012). Report of the 13th Genomic Standards Consortium Meeting, Shenzhen, China, March 4–7, 2012.. Standards in Genomic Sciences. 6(2). 276–286. 1 indexed citations
17.
Teh, Muy‐Teck, Diana C. Blaydon, Lucy Ghali, et al.. (2007). Role for WNT16B in human epidermal keratinocyte proliferation and differentiation. Journal of Cell Science. 120(2). 330–339. 59 indexed citations
18.
Teh, Muy‐Teck, Diana C. Blaydon, Lucy Ghali, et al.. (2007). Role for WNT16B in human epidermal keratinocyte proliferation and differentiation. Journal of Cell Science. 120(5). 917–917. 7 indexed citations
19.
Edmunds, Scott, Ian A. Cree, Federica Di Nicolantonio, et al.. (2003). Absence of BRAF gene mutations in uveal melanomas in contrast to cutaneous melanomas. British Journal of Cancer. 88(9). 1403–1405. 81 indexed citations
20.
Edmunds, Scott & David P. Kelsell. (2002). Double jeopardy: Ras and CDK4 co-expression in skin cancer. Trends in Molecular Medicine. 8(12). 548–548. 1 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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