Melanie Kirsche

7.0k citations
5 papers · 609 indexed · 1 hit paper · h-index 5

Impact in

  • Genetics top 10%
    • Genetic diversity and population structure
    • Genetic Mapping and Diversity in Plants and Animals
    • Genomics and Rare Diseases
    • Chromosomal and Genetic Variations
    • Plant Disease Resistance and Genetics

Papers in

    • Genomics and Rare Diseases 2
    • Genetic Associations and Epidemiology 1
    • Genomics and Phylogenetic Studies 4
    • Machine Learning in Bioinformatics 1
    • CRISPR and Genetic Engineering 1

Melanie Kirsche

5 papers receiving 609 citations

Hit Papers

Automated assembly scaffolding using RagTag elevates a new tomato system for high-throughput genome editing 2022 · 397 citations
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Peers

Melanie Kirsche
Comparison fields: 5 of 71
  • Genetics 221
  • Plant Science 239
  • Horticulture 6
  • Molecular Biology 375
  • Endocrinology 17
Replace Sergey Aganezov with:
Sergey Aganezov United States
Vanesa Vee United States
José Aguilar-Rodríguez United States
Mitchell E. Skinner United States
Shengchang Gu China
Sandra Smit Netherlands
Yogeshwar Kelkar United States
Ludivine Lebeigle Switzerland
Yinlong Xie China
Dengfeng Guan China
Melanie Kirsche relative to Sergey Aganezov United States Sergey Aganezov's profile →
Citations per field
00.5×1.5×
Sergey Aganezov · 1×
Citations per year

Countries citing papers authored by Melanie Kirsche

Since Specialization
Citations

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

Fields of papers citing papers by Melanie Kirsche

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

About Melanie Kirsche

Melanie Kirsche is a scholar working on Genetics, Molecular Biology, Cancer Research, Artificial Intelligence and Plant Science, having authored 5 papers that have together received 609 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (4 papers), Genomics and Rare Diseases (2 papers), Chromosomal and Genetic Variations (1 paper), Machine Learning in Bioinformatics (1 paper), Cancer Genomics and Diagnostics (1 paper), Genetic Associations and Epidemiology (1 paper), CRISPR and Genetic Engineering (1 paper) and Algorithms and Data Compression (1 paper). The work is most often cited by research in Genetics (221 citations), Plant Science (239 citations), Horticulture (6 citations), Molecular Biology (375 citations) and Endocrinology (17 citations). Melanie Kirsche has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Michael C. Schatz, Sergey Aganezov, Zachary B. Lippman, Xingang Wang, Shujun Ou, Michael Alonge, Ludivine Lebeigle, Sebastian Soyk, Rachel M. Sherman and Fritz J. Sedlazeck. Their work appears in journals such as Genome biology, Nature Methods, Genome Research and Bioinformatics.

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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