Tami Elsner

468 citations
6 papers · 305 indexed · h-index 6

Impact in

Papers in

    • Gene expression and cancer classification 2
    • RNA and protein synthesis mechanisms 1
    • Genomics and Phylogenetic Studies 1
    • Genomic variations and chromosomal abnormalities 3
    • Genetic Mapping and Diversity in Plants and Animals 1
    • Genetics and Neurodevelopmental Disorders 1

Tami Elsner

6 papers receiving 295 citations

Peers

Tami Elsner
Comparison fields: 5 of 54
  • Sensory Systems 81
  • Nutrition and Dietetics 96
  • Genetics 99
  • Molecular Biology 123
  • Biomedical Engineering 55
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Citations per field
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Citations per year

Countries citing papers authored by Tami Elsner

Since Specialization
Citations

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

Fields of papers citing papers by Tami Elsner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

6 of 6 papers shown
#Work
1 2003112
2 1987106
3 200330
4
A strategy for constructing high-resolution genetic maps of the human genome: a genetic map of chromosome 17p, ordered with meiotic breakpoint-mapping panels.
199529
5 199319
6
Breakpoint analysis: precise localization of genetic markers by means of nonstatistical computation using relatively few genotypes.
19959

About Tami Elsner

Tami Elsner is a scholar working on Molecular Biology, Genetics, Pulmonary and Respiratory Medicine, Sensory Systems and Physiology, having authored 6 papers that have together received 305 indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (3 papers), Gene expression and cancer classification (2 papers), Genetic Mapping and Diversity in Plants and Animals (1 paper), Biochemical Analysis and Sensing Techniques (1 paper), RNA and protein synthesis mechanisms (1 paper), Genomics and Phylogenetic Studies (1 paper), Genetics and Neurodevelopmental Disorders (1 paper) and Chronic Obstructive Pulmonary Disease (COPD) Research (1 paper). The work is most often cited by research in Sensory Systems (81 citations), Nutrition and Dietetics (96 citations), Genetics (99 citations), Molecular Biology (123 citations) and Biomedical Engineering (55 citations). Tami Elsner has collaborated with scholars based in United States, Belgium and Poland. Frequent co-authors include Mark Leppert, Andy Peiffer, Dennis Drayna, Brith Otterud, Lisa Baird, Hilary Coon, Un‐Kyung Kim, L. Ballard, G.M. Lathrop and J. Evan Sadler. Their work appears in journals such as Genomics, Human Genetics, American Journal of Respiratory and Critical Care Medicine and PubMed.

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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