Tim Ott

542 citations
15 papers · 287 · h-index 10

Impact in

Papers in

    • Congenital heart defects research 5
    • Developmental Biology and Gene Regulation 4
    • Protist diversity and phylogeny 3
    • Renal and related cancers 3
    • Epigenetics and DNA Methylation 2
    • Genetic and Kidney Cyst Diseases 8
    • Genetic Syndromes and Imprinting 3

Tim Ott

15 papers receiving 287 citations

Peers

Tim Ott
Comparison fields: 5 of 77
  • Aging 9
  • Genetics 122
  • Cell Biology 49
  • Molecular Biology 178
  • Reproductive Medicine 17
Replace Junpei Kuroda with:
Junpei Kuroda Japan
Daniela Roellig United States
Raquel Lourenço Portugal
Deborah Drage United Kingdom
Takayoshi Yamamoto Japan
Svetlana Makova United States
Gareth T. Powell United Kingdom
Daniele Soroldoni Germany
Uirá Souto Melo Brazil
Maiko Kanai Japan
Tim Ott relative to Junpei Kuroda Japan Junpei Kuroda's profile →
Citations per field
00.5×5.7×
Junpei Kuroda · 1×
Citations per year

Countries citing papers authored by Tim Ott

Since Specialization
Citations

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

Fields of papers citing papers by Tim Ott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 201862
2 201855
3 201837
4 201621
5 201920
6 202016
7 201914
8 201414
9 201712
10 201810
11 20179
12 20217
13 20197
14 20192
15 20231

About Tim Ott

Tim Ott is a scholar working on Molecular Biology, Genetics, Cognitive Neuroscience, Cell Biology and Paleontology, having authored 15 papers that have together received 287 indexed citations. Recurring topics across this work include Genetic and Kidney Cyst Diseases (8 papers), Congenital heart defects research (5 papers), Developmental Biology and Gene Regulation (4 papers), Protist diversity and phylogeny (3 papers), Renal and related cancers (3 papers), Genetic Syndromes and Imprinting (3 papers), Epigenetics and DNA Methylation (2 papers) and Hemispheric Asymmetry in Neuroscience (2 papers). The work is most often cited by research in Aging (9 citations), Genetics (122 citations), Cell Biology (49 citations), Molecular Biology (178 citations) and Reproductive Medicine (17 citations). Tim Ott has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Martin Blum, Axel Schweickert, Marius Ueffing, Achim Gossler, Karsten Boldt, Karin Schuster-Gossler, Jan Hegermann, Stéphane Noselli, Anja Beckers and Elisabeth Kremmer. Their work appears in journals such as Scientific Reports, Current Biology, Development, Developmental Biology and Frontiers in Endocrinology.

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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