T. Hansmann

467 citations
10 papers · 319 · h-index 8

Impact in

Papers in

    • Epigenetics and DNA Methylation 6
    • Genomics and Chromatin Dynamics 2
    • Genetic Syndromes and Imprinting 4

T. Hansmann

10 papers receiving 312 citations

Peers

T. Hansmann
Comparison fields: 5 of 60
  • Genetics 157
  • Pediatrics, Perinatology and Child Health 86
  • Molecular Biology 231
  • Reproductive Medicine 25
  • Public Health, Environmental and Occupational Health 83
Replace Xinbao Zheng with:
Xinbao Zheng China
Catherine Archilla France
Qiangzong Yin United States
Brittany L. Daughtry United States
Kyung-Kwang Lee South Korea
Érika Cristina dos Santos Brazil
Theresa Naluai-Cecchini United States
James H. Crichton United Kingdom
Tongji Xing United States
Zheng‐Hui Zhao China
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Citations per field
00.5×1.5×2.1×
Xinbao Zheng · 1×
Citations per year

Countries citing papers authored by T. Hansmann

Since Specialization
Citations

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

Fields of papers citing papers by T. Hansmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 201274
2 201163
3 201147
4 201235
5 201230
6 200828
7 200924
8 201014
9 20133
10 20091

About T. Hansmann

T. Hansmann is a scholar working on Molecular Biology, Genetics, Pediatrics, Perinatology and Child Health, Public Health, Environmental and Occupational Health and Plant Science, having authored 10 papers that have together received 319 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (6 papers), Genetic Syndromes and Imprinting (4 papers), Genomics and Chromatin Dynamics (2 papers), Reproductive Biology and Fertility (2 papers), Prenatal Screening and Diagnostics (2 papers), Hemophilia Treatment and Research (1 paper), Cholinesterase and Neurodegenerative Diseases (1 paper) and Computational Drug Discovery Methods (1 paper). The work is most often cited by research in Genetics (157 citations), Pediatrics, Perinatology and Child Health (86 citations), Molecular Biology (231 citations), Reproductive Medicine (25 citations) and Public Health, Environmental and Occupational Health (83 citations). T. Hansmann has collaborated with scholars based in Germany, Poland and France. Frequent co-authors include Thomas Haaf, J. Heinzmann, Ulrich Zechner, C. Wrenzycki, H. Niemann, Dominik Herrmann, Galyna Pliushch, Sabine Preisler-Adams, Peter Wieacker and Andrea Gehrig. Their work appears in journals such as Epigenetics, Cytogenetic and Genome Research, Reproduction Fertility and Development, Human Molecular Genetics and Biosensors and Bioelectronics.

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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