Karin Mitosch

644 citations
10 papers · 366 · h-index 9

Impact in

Papers in

    • Protein Structure and Dynamics 3
    • Gene Regulatory Network Analysis 2
    • Biochemical and Structural Characterization 1
    • Bacterial Genetics and Biotechnology 6
    • Evolution and Genetic Dynamics 2

Karin Mitosch

10 papers receiving 362 citations

Peers

Karin Mitosch
Comparison fields: 5 of 73
  • Molecular Medicine 45
  • Endocrinology 32
  • Applied Microbiology and Biotechnology 9
  • Genetics 111
  • Ecology 87
Replace J. Javier Díaz-Mejía with:
J. Javier Díaz-Mejía Canada
Karanbir S. Pahil United States
Vallo Varik Estonia
Emmanuelle Béchet France
Konstantin Brodolin France
Christopher E. Morgan United States
Yojiro Ishida United States
Anna M. Shpirt Russia
Bryan M. O’Neill United States
Anu Raghunathan India
Karin Mitosch relative to J. Javier Díaz-Mejía Canada J. Javier Díaz-Mejía's profile →
Citations per field
00.5×9.4×
J. Javier Díaz-Mejía · 1×
Citations per year

Countries citing papers authored by Karin Mitosch

Since Specialization
Citations

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

Fields of papers citing papers by Karin Mitosch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 202297
2 202072
3 201761
4 202331
5 201430
6 201923
7 202123
8 202211
9 202310
10 20068

About Karin Mitosch

Karin Mitosch is a scholar working on Molecular Biology, Genetics, Molecular Medicine, Endocrinology and Infectious Diseases, having authored 10 papers that have together received 366 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (6 papers), Protein Structure and Dynamics (3 papers), Gene Regulatory Network Analysis (2 papers), Antibiotic Resistance in Bacteria (2 papers), Evolution and Genetic Dynamics (2 papers), Metabolism and Genetic Disorders (1 paper), Total Knee Arthroplasty Outcomes (1 paper) and Biochemical and Structural Characterization (1 paper). The work is most often cited by research in Molecular Medicine (45 citations), Endocrinology (32 citations), Applied Microbiology and Biotechnology (9 citations), Genetics (111 citations) and Ecology (87 citations). Karin Mitosch has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Tobias Bollenbach, Athanasios Typas, André Mateus, Mikhail M. Savitski, Frank Stein, Jacob Bobonis, Joel Selkrig, Nils Kurzawa, Camille Goemans and Malay B. Shah. Their work appears in journals such as Molecular Systems Biology, Nature, Cell Systems, PLoS Biology and Nature Microbiology.

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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