Janet Chaseling

733 total citations
41 papers, 521 citations indexed

About

Janet Chaseling is a scholar working on Genetics, Molecular Biology and Archeology. According to data from OpenAlex, Janet Chaseling has authored 41 papers receiving a total of 521 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Genetics, 9 papers in Molecular Biology and 9 papers in Archeology. Recurrent topics in Janet Chaseling's work include Forensic and Genetic Research (16 papers), Forensic Anthropology and Bioarchaeology Studies (9 papers) and Molecular Biology Techniques and Applications (7 papers). Janet Chaseling is often cited by papers focused on Forensic and Genetic Research (16 papers), Forensic Anthropology and Bioarchaeology Studies (9 papers) and Molecular Biology Techniques and Applications (7 papers). Janet Chaseling collaborates with scholars based in Australia, United States and Sweden. Janet Chaseling's co-authors include Neil Sipe, Michael Townsley, Ross Hömel, Don Kerr, Michael Steele, R. T. Cowan, Pat Dale, Lage Burström, Nuala M. Byrne and Gary Slater and has published in prestigious journals such as Scientific Reports, Estuarine Coastal and Shelf Science and Agricultural Systems.

In The Last Decade

Janet Chaseling

36 papers receiving 478 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Janet Chaseling Australia 12 185 104 67 66 47 41 521
Margaret S. Race United States 15 239 1.3× 35 0.3× 15 0.2× 18 0.3× 94 2.0× 55 774
Edson Silva Brazil 14 208 1.1× 19 0.2× 18 0.3× 42 0.6× 3 0.1× 98 620
Andy Mitchell United Kingdom 7 67 0.4× 45 0.4× 10 0.1× 21 0.3× 6 0.1× 24 491
Shane Orchard New Zealand 10 120 0.6× 49 0.5× 35 0.5× 18 0.3× 3 0.1× 43 324
Stefano Biagetti South Africa 13 96 0.5× 22 0.2× 20 0.3× 69 1.0× 5 0.1× 39 729
Michael Allaby 12 62 0.3× 29 0.3× 10 0.1× 22 0.3× 4 0.1× 28 350
Eduardo Klein Venezuela 16 667 3.6× 38 0.4× 6 0.1× 33 0.5× 16 0.3× 44 1.3k
Julie A. Robinson United States 13 390 2.1× 17 0.2× 5 0.1× 24 0.4× 87 1.9× 51 698
Astrid Caldas United States 13 97 0.5× 101 1.0× 19 0.3× 147 2.2× 3 0.1× 33 654
Gregory Elmes United States 9 173 0.9× 71 0.7× 3 0.0× 44 0.7× 9 0.2× 19 538

Countries citing papers authored by Janet Chaseling

Since Specialization
Citations

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

Fields of papers citing papers by Janet Chaseling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Janet Chaseling

This figure shows the co-authorship network connecting the top 25 collaborators of Janet Chaseling. A scholar is included among the top collaborators of Janet Chaseling 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 Janet Chaseling. Janet Chaseling 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.
Chaseling, Janet, et al.. (2023). Improving the strategy to identify historical military remains: a literature review and Y-STR meta-analysis. Forensic Sciences Research. 9(1). owad050–owad050.
2.
Benton, Miles C., Rod A. Lea, Heidi G. Sutherland, et al.. (2022). Pedigree derived mutation rate across the entire mitochondrial genome of the Norfolk Island population. Scientific Reports. 12(1). 6827–6827. 9 indexed citations
3.
Chaseling, Janet, et al.. (2020). An evaluation of infrared photography for detecting bloodstains on dark-coloured floor coverings commonly encountered at crime scenes. Australian Journal of Forensic Sciences. 54(2). 280–292.
4.
5.
Chaseling, Janet, et al.. (2019). Detection of blood on clothing laundered with sodium percarbonate. Forensic Science International. 302. 109885–109885. 5 indexed citations
6.
Chaseling, Janet, et al.. (2019). A Comparison of Four Presumptive Tests for the Detection of Blood on Dark Materials. Journal of Forensic Sciences. 64(6). 1838–1843. 7 indexed citations
7.
Chaseling, Janet, et al.. (2018). Tissue preservation in extreme temperatures for rapid response to military deaths. Forensic Science International Genetics. 36. 86–94. 3 indexed citations
8.
Mundorff, Amy Z., et al.. (2018). Identifying child victims of the South-East Asia Tsunami in Thailand. Disaster Prevention and Management An International Journal. 27(4). 447–455. 2 indexed citations
9.
Slater, Gary, et al.. (2015). Validation of Bioelectrical Impedance Spectroscopy to Measure Total Body Water in Resistance-Trained Males. International Journal of Sport Nutrition and Exercise Metabolism. 25(5). 494–503. 29 indexed citations
10.
Mundorff, Amy Z., et al.. (2015). A new disaster victim identification management strategy targeting “near identification-threshold” cases: Experiences from the Boxing Day tsunami. Forensic Science International. 250. 91–97. 23 indexed citations
11.
Steele, Michael, Neil A. Smart, Cameron Hurst, & Janet Chaseling. (2009). Evaluating the statistical power of goodness-of-fit tests for health and medicine survey data. Research Bank (Australian Catholic University). 192–196. 2 indexed citations
12.
Steele, Michael, Cameron Hurst, & Janet Chaseling. (2008). The power of Chi-Square type goodness-of-fit test statistics. e-publications@bond (Bond University). 26(1). 10. 1 indexed citations
13.
Steele, Mike, et al.. (2007). Best management strategies for the Australian dairy industryusing multiple linear regression techniques. ResearchOnline at James Cook University (James Cook University). 2022. 8105306–8105306. 1 indexed citations
14.
Steele, Michael, et al.. (2007). Identifying significant contributors to milk production in the absence of the Herd Size Effect. ResearchOnline at James Cook University (James Cook University). 88–93.
15.
Steele, Michael, Janet Chaseling, & Cameron Hurst. (2005). Simulated Power of the Discrete Cramer-von Mises Goodness-of-Fit Tests. FedUni ResearchOnline (Federation University Australia). 1300–1304. 5 indexed citations
16.
Chaseling, Janet, et al.. (2003). The effect of fluid consumption on the forest workers’ performance strategy. Applied Ergonomics. 35(1). 29–36. 24 indexed citations
17.
Ayres, Karen L., Janet Chaseling, & David J. Balding. (2002). Implications for DNA identification arising from an analysis of Australian forensic databases. Forensic Science International. 129(2). 90–98. 14 indexed citations
18.
Townsley, Michael, Ross Hömel, & Janet Chaseling. (2000). Repeat Burglary Victimisation: Spatial and Temporal Patterns. Australian & New Zealand Journal of Criminology. 33(1). 37–63. 98 indexed citations
19.
Kerr, Don, R. T. Cowan, & Janet Chaseling. (1999). DAIRYPRO—a knowledge-based decision support system for strategic planning on sub-tropical dairy farms. I. System description. Agricultural Systems. 59(3). 245–255. 20 indexed citations
20.
Chaseling, Janet, et al.. (1992). Modelling the annual liveweight curve in dairy cattle.. 2 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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