Janet Chaseling

733 citations
41 papers · 521 · h-index 12

Impact in

Papers in

    • Forensic and Genetic Research 16
    • Genetic and phenotypic traits in livestock 5
    • Molecular Biology Techniques and Applications 7

Janet Chaseling

36 papers receiving 478 citations

Peers

Janet Chaseling
Comparison fields: 5 of 108
  • Earth-Surface Processes 67
  • Ecology 185
  • Nature and Landscape Conservation 39
  • General Agricultural and Biological Sciences 26
  • Archeology 30
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Janet Silbernagel United States
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Janet Chaseling, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Janet Chaseling Line = papers co-authored together Janet Chaseling links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009135
2 200098
3 201035
4 201529
5 200626
6 200324
7 201523
8 199920
9 200214
10 201013
11 199911
12 199811
13 20229
14 19958
15 20197
16 19957
17
Simulated Power of the Discrete Cramer-von Mises Goodness-of-Fit Tests
20055
18 20195
19 20215
20 20204

About Janet Chaseling

Janet Chaseling is a scholar working on Genetics, Molecular Biology, Archeology, Safety Research and Environmental Chemistry, having authored 41 papers that have together received 521 indexed citations. Recurring topics across this work include Forensic and Genetic Research (16 papers), Forensic Anthropology and Bioarchaeology Studies (9 papers), Molecular Biology Techniques and Applications (7 papers), Genetic and phenotypic traits in livestock (5 papers), Advanced Statistical Methods and Models (4 papers), Forensic Fingerprint Detection Methods (4 papers), Sustainable Agricultural Systems Analysis (4 papers) and Forensic Entomology and Diptera Studies (4 papers). The work is most often cited by research in Earth-Surface Processes (67 citations), Ecology (185 citations), Nature and Landscape Conservation (39 citations), General Agricultural and Biological Sciences (26 citations) and Archeology (30 citations). Janet Chaseling has collaborated with scholars based in Australia, United States and Sweden. Frequent co-authors include Neil Sipe, Ross Hömel, Michael Townsley, Don Kerr, Michael Steele, R. T. Cowan, Pat Dale, Lage Burström, Gary Slater and Nuala M. Byrne. Their work appears in journals such as Forensic Science International, Journal of Forensic Sciences, Agricultural Systems, Asian-Australasian Journal of Animal Sciences and Estuarine Coastal and Shelf Science.

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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