Sebastian Pott

3.0k citations
28 papers · 1.8k indexed · 1 hit paper · h-index 18
Topics
Genomics and Chromatin Dynamics (8 papers)Single-cell and spatial transcriptomics (7 papers)Epigenetics and DNA Methylation (6 papers)

In The Last Decade

Sebastian Pott

27 papers receiving 1.8k citations

Hit Papers

What are super-enhancers?20142026201820222014100200300400

Peers

Sebastian Pott
Comparison fields: 5 of 104
  • Molecular Biology 1.5k
  • Immunology 295
  • Cancer Research 249
  • Genetics 162
  • Oncology 143
Replace Betsabeh Khoramian Tusi with:
Betsabeh Khoramian Tusi United States
Dirk H. Ostareck Germany
Sónia Barroso Spain
Antje Ostareck‐Lederer Germany
Martin Kerick Germany
Marcia Bellon United States
Yiping Sun China
Owen M. Siggs Australia
Jean Lozach United States
Kefeng Lu China
Sebastian Pott relative to Betsabeh Khoramian Tusi United States Betsabeh Khoramian Tusi's profile →
Citations per field
00.5×1.6×
Betsabeh Khoramian Tusi · 1×
Citations per year

Countries citing papers authored by Sebastian Pott

Since Specialization
Citations

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

Fields of papers citing papers by Sebastian Pott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sebastian Pott

This figure shows the co-authorship network connecting the top 25 collaborators of Sebastian Pott. A scholar is included among the top collaborators of Sebastian Pott 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 Sebastian Pott. Sebastian Pott 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 6
3 10
4 1
5 18
6 27
7 66
8 40
9 58
10 100
11 18
12 170
13
What are super-enhancers?breakdown →
497
14 182
15 123
16 33
17 170
18 106
19 121
20 2

About Sebastian Pott

Sebastian Pott is a scholar working on Molecular Biology, Cancer Research and Immunology, having authored 28 papers that have together received 1.8k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (8 papers), Single-cell and spatial transcriptomics (7 papers) and Epigenetics and DNA Methylation (6 papers). The work is most often cited by research in Molecular Biology (1.5k citations), Cancer Research (249 citations) and Immunology (295 citations). Sebastian Pott has collaborated with scholars based in United States, Germany and Singapore. Frequent co-authors include Jason D. Lieb, Edison T. Liu, Ildikó Győry, Elizabeth M. Mandel, Rudolf Grosschedl, Sven Pettersson, Sonja Firner, Thomas Treiber, Virginia A. Zakian and Robert Nechanitzky. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Nature Communications.

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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