Carll Ladd

738 citations
14 papers · 482 · h-index 10

Impact in

  • Genetics top 10%
    • Forensic and Genetic Research
    • Genetic diversity and population structure
    • Race, Genetics, and Society
    • Uterine Myomas and Treatments

Papers in

    • Forensic and Genetic Research 8
    • Genetic diversity and population structure 5
    • Advances in Cucurbitaceae Research 1
    • Molecular Biology Techniques and Applications 6

Carll Ladd

14 papers receiving 451 citations

Peers

Carll Ladd
Comparison fields: 5 of 75
  • Genetics 295
  • Obstetrics and Gynecology 39
  • Molecular Biology 253
  • Reproductive Medicine 23
  • Ecology 68
Replace Birgit Bayer with:
Birgit Bayer Germany
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Manisha K. Gupta United States
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Carll Ladd relative to Birgit Bayer Germany Birgit Bayer's profile →
Citations per field
00.5×1.5×
Birgit Bayer · 1×
Citations per year

Countries citing papers authored by Carll Ladd

Since Specialization
Citations

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

Fields of papers citing papers by Carll Ladd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 200478
2
Fusion transcripts involving HMGA2 are not a common molecular mechanism in uterine leiomyomata with rearrangements in 12q15.
200377
3
Preservation and collection of biological evidence.
200156
4 200555
5
An overview of DNA methods for the identification and individualization of marijuana.
200345
6 200542
7
Interpretation of complex forensic DNA mixtures.
200134
8 200327
9 199827
10 199420
11 20029
12 20068
13 20043
14 19871

About Carll Ladd

Carll Ladd is a scholar working on Genetics, Molecular Biology, Plant Science, Surgery and Pharmacology, having authored 14 papers that have together received 482 indexed citations. Recurring topics across this work include Forensic and Genetic Research (8 papers), Molecular Biology Techniques and Applications (6 papers), Genetic diversity and population structure (5 papers), Gynecological conditions and treatments (1 paper), Advances in Cucurbitaceae Research (1 paper), Uterine Myomas and Treatments (1 paper), Chromosomal and Genetic Variations (1 paper) and Blood groups and transfusion (1 paper). The work is most often cited by research in Genetics (295 citations), Obstetrics and Gynecology (39 citations), Molecular Biology (253 citations), Reproductive Medicine (23 citations) and Ecology (68 citations). Carll Ladd has collaborated with scholars based in United States, Canada and South Africa. Frequent co-authors include Henry Lee, Heather Miller Coyle, Timothy M. Palmbach, Ann Marie Gross, Bradley J. Quade, Bruce Budowle, Roberta Vanni, David M. Neskey, Xavier G. Aranda and Benjamin E. Krenke. Their work appears in journals such as American Journal of Forensic Medicine & Pathology, Forensic Science International, Journal of Forensic Sciences, In Silico Biology and Biochemical Genetics.

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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