Gerhard Fleischmann

431 citations
9 papers · 351 · h-index 8

Impact in

    • Genomics and Chromatin Dynamics
    • RNA and protein synthesis mechanisms
    • DNA and Nucleic Acid Chemistry
    • Pluripotent Stem Cells Research
    • CRISPR and Genetic Engineering
    • RNA Research and Splicing
    • RNA Interference and Gene Delivery
    • Estrogen and related hormone effects

Papers in

    • RNA and protein synthesis mechanisms 3
    • Steroid Chemistry and Biochemistry 2
    • Genomics and Chromatin Dynamics 2
    • Heat shock proteins research 2
    • DNA and Nucleic Acid Chemistry 2
    • Insect Resistance and Genetics 2
    • Estrogen and related hormone effects 4

Gerhard Fleischmann

9 papers receiving 317 citations

Peers

Gerhard Fleischmann
Comparison fields: 5 of 58
  • Molecular Biology 276
  • Genetics 110
  • Developmental Neuroscience 7
  • Reproductive Medicine 14
  • Toxicology 5
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Citations per field
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Citations per year

Countries citing papers authored by Gerhard Fleischmann

Since Specialization
Citations

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

Fields of papers citing papers by Gerhard Fleischmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Gerhard Fleischmann, 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 Gerhard Fleischmann Line = papers co-authored together Gerhard Fleischmann links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 1982160
2 200959
3 198143
4 197826
5 197823
6 197917
7 19838
8 19898
9 19877

About Gerhard Fleischmann

Gerhard Fleischmann is a scholar working on Molecular Biology, Genetics, Agronomy and Crop Science, Aquatic Science and Immunology, having authored 9 papers that have together received 351 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (4 papers), RNA and protein synthesis mechanisms (3 papers), Steroid Chemistry and Biochemistry (2 papers), Genomics and Chromatin Dynamics (2 papers), Heat shock proteins research (2 papers), DNA and Nucleic Acid Chemistry (2 papers), Reproductive Physiology in Livestock (2 papers) and Insect Resistance and Genetics (2 papers). The work is most often cited by research in Molecular Biology (276 citations), Genetics (110 citations), Developmental Neuroscience (7 citations), Reproductive Medicine (14 citations) and Toxicology (5 citations). Gerhard Fleischmann has collaborated with scholars based in Germany, United States and Japan. Frequent co-authors include Miguel Beato, Sarah C. R. Elgin, Iain L. Cartwright, Ky Lowenhaupt, Michael A. Keene, Gary C. Howard, Susan M. Abmayr, H.M. Westphal, Kerstin Mätz‐Rensing and Emi Sasaki. Their work appears in journals such as Chromosoma, Biochimica et Biophysica Acta (BBA) - General Subjects, Cold Spring Harbor Symposia on Quantitative Biology, European Journal of Biochemistry and Molecular and Cellular Endocrinology.

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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