Jana Koth

422 total citations
10 papers, 267 citations indexed

About

Jana Koth is a scholar working on Molecular Biology, Cell Biology and Endocrinology. According to data from OpenAlex, Jana Koth has authored 10 papers receiving a total of 267 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Cell Biology and 2 papers in Endocrinology. Recurrent topics in Jana Koth's work include Congenital heart defects research (4 papers), Muscle Physiology and Disorders (3 papers) and Zebrafish Biomedical Research Applications (3 papers). Jana Koth is often cited by papers focused on Congenital heart defects research (4 papers), Muscle Physiology and Disorders (3 papers) and Zebrafish Biomedical Research Applications (3 papers). Jana Koth collaborates with scholars based in United Kingdom, Malawi and Japan. Jana Koth's co-authors include Roger Patient, Simon M. Hughes, Chrissy L. Hammond, Philip Pinheiro, Paul R. Riley, Tessa Peterkin, Emmanouela Repapi, Koichi Kawakami, Rui Monteiro and Stefania Monterisi and has published in prestigious journals such as Nature Communications, Development and Scientific Reports.

In The Last Decade

Jana Koth

8 papers receiving 264 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jana Koth United Kingdom 7 180 83 41 40 27 10 267
Deborah Maret Canada 8 180 1.0× 109 1.3× 48 1.2× 30 0.8× 18 0.7× 9 340
Ryan J. Weiss United States 8 202 1.1× 148 1.8× 26 0.6× 51 1.3× 18 0.7× 15 346
Tatsuo Oikawa Japan 9 233 1.3× 48 0.6× 42 1.0× 26 0.7× 18 0.7× 15 342
Abdellah Akil France 7 164 0.9× 43 0.5× 54 1.3× 32 0.8× 7 0.3× 10 278
Ryan Huang United States 8 140 0.8× 63 0.8× 21 0.5× 87 2.2× 6 0.2× 12 291
Genevieve S. Griffiths United States 10 222 1.2× 71 0.9× 31 0.8× 71 1.8× 12 0.4× 12 363
Ru‐Inn Lin Taiwan 10 582 3.2× 37 0.4× 73 1.8× 27 0.7× 22 0.8× 16 649
Danyu Lu China 11 290 1.6× 51 0.6× 35 0.9× 20 0.5× 9 0.3× 19 397
Aileen M. Smith United Kingdom 7 268 1.5× 73 0.9× 26 0.6× 167 4.2× 12 0.4× 8 453
Angela Oppelt Norway 6 191 1.1× 172 2.1× 43 1.0× 35 0.9× 4 0.1× 6 358

Countries citing papers authored by Jana Koth

Since Specialization
Citations

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

Fields of papers citing papers by Jana Koth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jana Koth

This figure shows the co-authorship network connecting the top 25 collaborators of Jana Koth. A scholar is included among the top collaborators of Jana Koth 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 Jana Koth. Jana Koth is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Koth, Jana, et al.. (2023). Skeletal Muscle Regeneration in Zebrafish. Methods in molecular biology. 2640. 227–248.
2.
Hughes, Simon M., et al.. (2022). Clonal behaviour of myogenic precursor cells throughout the vertebrate lifespan. Biology Open. 11(8). 3 indexed citations
3.
Michl, Johanna, Yunyi Wang, Stefania Monterisi, et al.. (2022). CRISPR-Cas9 screen identifies oxidative phosphorylation as essential for cancer cell survival at low extracellular pH. Cell Reports. 38(10). 110493–110493. 41 indexed citations
4.
Monterisi, Stefania, Johanna Michl, Alžbeta Hulı́ková, et al.. (2022). Solute exchange through gap junctions lessens the adverse effects of inactivating mutations in metabolite-handling genes. eLife. 11. 8 indexed citations
5.
Koth, Jana, Xiaonan Wang, Andrew Jefferson, et al.. (2020). Runx1 promotes scar deposition and inhibits myocardial proliferation and survival during zebrafish heart regeneration. Development. 147(8). 48 indexed citations
6.
Koth, Jana. (2019). Diagnosis and Treatment of Oncologic Emergencies.. PubMed. 91(2). 161–172.
7.
Aulicino, Anna, Kévin Rue-Albrecht, Lorena Preciado‐Llanes, et al.. (2018). Invasive Salmonella exploits divergent immune evasion strategies in infected and bystander dendritic cell subsets. Nature Communications. 9(1). 4883–4883. 17 indexed citations
8.
Koth, Jana, Mahon L. Maguire, John S. Beech, et al.. (2017). High-Resolution Magnetic Resonance Imaging of the Regenerating Adult Zebrafish Heart. Scientific Reports. 7(1). 2917–2917. 31 indexed citations
9.
Monteiro, Rui, Philip Pinheiro, Tessa Peterkin, et al.. (2016). Transforming Growth Factor β Drives Hemogenic Endothelium Programming and the Transition to Hematopoietic Stem Cells. Developmental Cell. 38(4). 358–370. 72 indexed citations
10.
Koth, Jana, et al.. (2016). Cellular dynamics of regeneration reveals role of two distinct Pax7 stem cell populations in larval zebrafish muscle repair. Disease Models & Mechanisms. 9(6). 671–684. 47 indexed citations

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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