Melissa Scheible

565 citations
26 papers · 298 · h-index 11

Impact in

  • Genetics top 10%
    • Forensic and Genetic Research
    • Genetic diversity and population structure
    • Environmental DNA in Biodiversity Studies

Papers in

    • Forensic and Genetic Research 21
    • Genetic diversity and population structure 4
    • Race, Genetics, and Society 2
    • Molecular Biology Techniques and Applications 13
    • Identification and Quantification in Food 7
    • Genomics and Phylogenetic Studies 3
    • Gene expression and cancer classification 2

Melissa Scheible

24 papers receiving 293 citations

Peers

Melissa Scheible
Comparison fields: 5 of 59
  • Genetics 194
  • Ecology 101
  • Molecular Biology 215
  • Archeology 21
  • Clinical Biochemistry 7
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Citations per field
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Citations per year

Countries citing papers authored by Melissa Scheible

Since Specialization
Citations

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

Fields of papers citing papers by Melissa Scheible

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Melissa Scheible, 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 Melissa Scheible Line = papers co-authored together Melissa Scheible links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201460
2 201138
3 201332
4 202020
5 201717
6 201115
7 201115
8 201414
9 202013
10 201113
11 201810
12 201710
13 201610
14 20235
15 20194
16 20214
17 20243
18 20143
19 20093
20
Recovering DNA profiles from low quantity and low quality forensic samples
20003

About Melissa Scheible

Melissa Scheible is a scholar working on Genetics, Molecular Biology, Ecology, Ecology, Evolution, Behavior and Systematics and Epidemiology, having authored 26 papers that have together received 298 indexed citations. Recurring topics across this work include Forensic and Genetic Research (21 papers), Molecular Biology Techniques and Applications (13 papers), Environmental DNA in Biodiversity Studies (11 papers), Identification and Quantification in Food (7 papers), Genetic diversity and population structure (4 papers), Genomics and Phylogenetic Studies (3 papers), Gene expression and cancer classification (2 papers) and Race, Genetics, and Society (2 papers). The work is most often cited by research in Genetics (194 citations), Ecology (101 citations), Molecular Biology (215 citations), Archeology (21 citations) and Clinical Biochemistry (7 citations). Melissa Scheible has collaborated with scholars based in United States, Brazil and United Kingdom. Frequent co-authors include Jodi A. Irwin, Rebecca S. Just, Odile Loreille, Kelly A. Meiklejohn, Kimberly Sturk‐Andreaggi, Seth A. Faith, Michael D. Coble, Clarice Sampaio Alho, Thomas J. Parsons and Christopher Eichman. Their work appears in journals such as Forensic Science International Genetics, PLoS ONE, International Journal of Legal Medicine, Journal of Forensic Sciences and BMC Genomics.

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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