Dominik Seelow

13.1k citations
50 papers · 2.6k indexed · 2 hit papers · h-index 19
Topics
Genomics and Rare Diseases (21 papers)Genomics and Phylogenetic Studies (12 papers)Genomics and Chromatin Dynamics (10 papers)

In The Last Decade

Dominik Seelow

47 papers receiving 2.6k citations

Hit Papers

The Human Phenotype Ontology: A Tool for Annotating and A...200820262014202020082021200400600

Peers

Dominik Seelow
Comparison fields: 5 of 114
  • Molecular Biology 1.8k
  • Genetics 1.2k
  • Cell Biology 301
  • Cancer Research 217
  • Artificial Intelligence 149
Replace Gijs van Haaften with:
Gijs van Haaften Netherlands
Damian Smedley United Kingdom
Daniel M. Jordan United States
Masoud Garshasbi Iran
David Valle‐García United States
Vasily Ramensky Russia
Claudia Gonzaga‐Jauregui United States
Dilek Çolak Saudi Arabia
Shaun S. Abeysinghe United Kingdom
Ryan K. C. Yuen Canada
Dominik Seelow relative to Gijs van Haaften Netherlands Gijs van Haaften's profile →
Citations per field
00.5×10×20×30×40×49.7×
Gijs van Haaften · 1×
Citations per year

Countries citing papers authored by Dominik Seelow

Since Specialization
Citations

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

Fields of papers citing papers by Dominik Seelow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dominik Seelow

This figure shows the co-authorship network connecting the top 25 collaborators of Dominik Seelow. A scholar is included among the top collaborators of Dominik Seelow based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dominik Seelow. Dominik Seelow is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 0
3 2
4 5
5 1
6 12
7
MutationTaster2021breakdown →
167
8 6
9 17
10 31
11 2
12 16
13 17
14 214
15 90
16 181
17 18
18 84
19 175
20 47

About Dominik Seelow

Dominik Seelow is a scholar working on Genetics, Molecular Biology and Cancer Research, having authored 50 papers that have together received 2.6k indexed citations. Recurring topics across this work include Genomics and Rare Diseases (21 papers), Genomics and Phylogenetic Studies (12 papers) and Genomics and Chromatin Dynamics (10 papers). The work is most often cited by research in Genetics (1.2k citations), Molecular Biology (1.8k citations) and Cell Biology (301 citations). Dominik Seelow has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Markus Schuelke, Peter N. Robinson, Sebastian Köhler, Sebastian Bauer, Stefan Mundlos, Denise Horn, Peter Nürnberg, Jana Marie Schwarz, Friedhelm Hildebrandt and Robin Steinhaus. Their work appears in journals such as Nucleic Acids Research, Circulation and Nature Genetics.

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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