T. Lörch

450 citations
6 papers · 329 · h-index 5

Impact in

Papers in

    • Molecular Biology Techniques and Applications 3
    • Gene expression and cancer classification 2
    • Advanced biosensing and bioanalysis techniques 1
    • Carcinogens and Genotoxicity Assessment 2
    • MicroRNA in disease regulation 1

T. Lörch

5 papers receiving 312 citations

Peers

T. Lörch
Comparison fields: 5 of 47
  • Cancer Research 148
  • Genetics 139
  • Plant Science 120
  • Molecular Biology 184
  • Biophysics 13
Replace Andreas Plesch with:
Andreas Plesch Germany
M. Poggensee United States
John C. Hando United States
S. Vermeulen Netherlands
Eisuke Gotoh Japan
Jane Briner United States
Rebecca E. Rugo United States
Patricia K. Trostle United States
N. A. Egolina Russia
Maria Gomolka Germany
T. Lörch relative to Andreas Plesch Germany Andreas Plesch's profile →
Citations per field
00.5×1.5×
Andreas Plesch · 1×
Citations per year

Countries citing papers authored by T. Lörch

Since Specialization
Citations

This map shows the geographic impact of T. Lörch'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 T. Lörch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Lörch more than expected).

Fields of papers citing papers by T. Lörch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside T. Lörch, 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 T. Lörch Line = papers co-authored together T. Lörch links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1 1999169
2 2004120
3 199517
4 200116
5 19986
6 19861

About T. Lörch

T. Lörch is a scholar working on Molecular Biology, Cancer Research, Plant Science, Health, Toxicology and Mutagenesis and Radiation, having authored 6 papers that have together received 329 indexed citations. Recurring topics across this work include Molecular Biology Techniques and Applications (3 papers), Gene expression and cancer classification (2 papers), Carcinogens and Genotoxicity Assessment (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), MicroRNA in disease regulation (1 paper), Advanced Radiotherapy Techniques (1 paper), Effects and risks of endocrine disrupting chemicals (1 paper) and Cell Image Analysis Techniques (1 paper). The work is most often cited by research in Cancer Research (148 citations), Genetics (139 citations), Plant Science (120 citations), Molecular Biology (184 citations) and Biophysics (13 citations). T. Lörch has collaborated with scholars based in Germany, Switzerland and Poland. Frequent co-authors include Andreas Plesch, Johannes R. Lemke, U. Claussen, Ilse Chudoba, Gabriele Senger, Christian Schunck, Dominic Varga, R. Huber, M. Bauchinger and Herbert Braselmann. Their work appears in journals such as Mutation Research/Genetic Toxicology and Environmental Mutagenesis, Cytogenetic and Genome Research, Mutation Research/Environmental Mutagenesis and Related Subjects and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.

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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