Thomas Sandmann

4.7k citations
32 papers · 2.2k · h-index 21

Impact in

Papers in

    • Genomics and Chromatin Dynamics 8
    • CRISPR and Genetic Engineering 4
    • Developmental Biology and Gene Regulation 3
    • Bioinformatics and Genomic Networks 3
    • Ubiquitin and proteasome pathways 2
    • Glioma Diagnosis and Treatment 5

Thomas Sandmann

32 papers receiving 2.1k citations

Peers

Thomas Sandmann
Comparison fields: 5 of 100
  • Aging 85
  • Genetics 281
  • Molecular Biology 1.4k
  • Cancer Research 257
  • Neurology 118
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An‐Chi Tien United States
Alexander Y. Maslov United States
Dena S. Leeman United States
Stefan H. Stricker Germany
Wing H. Wong United States
Yasuyuki S. Kida Japan
Núria de la Iglesia Spain
Amy Tang United States
Allegra A. Petti United States
Tiffany Y Liang United States
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Citations per field
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Citations per year

Countries citing papers authored by Thomas Sandmann

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Sandmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007233
2 2015214
3 2013210
4 2006201
5 2020152
6 2011137
7 2011106
8 2013102
9 201382
10 200679
11 201578
12 200775
13 201065
14 201560
15 201658
16 201535
17 200331
18 201029
19 201724
20 200721

About Thomas Sandmann

Thomas Sandmann is a scholar working on Molecular Biology, Genetics, Cancer Research, Oncology and Pathology and Forensic Medicine, having authored 32 papers that have together received 2.2k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (8 papers), Glioma Diagnosis and Treatment (5 papers), CRISPR and Genetic Engineering (4 papers), Developmental Biology and Gene Regulation (3 papers), Bioinformatics and Genomic Networks (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Ubiquitin and proteasome pathways (2 papers) and Cancer Genomics and Diagnostics (2 papers). The work is most often cited by research in Aging (85 citations), Genetics (281 citations), Molecular Biology (1.4k citations), Cancer Research (257 citations) and Neurology (118 citations). Thomas Sandmann has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Eileen E. M. Furlong, Michael Boutros, Janus S. Jakobsen, Thomas Horn, Viktor Štolc, Charles Girardot, Marc Brehme, Waraporn Tongprasit, Bernd Fischer and Wolfgang Huber. Their work appears in journals such as Genes & Development, Neuro-Oncology, Genome biology, Molecular Biology of the Cell and PLoS ONE.

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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