Borbála Kiss
- Molecular Biology top 10%
- Oncology top 5%
- Geriatrics and Gerontology top 0.5%
- Physiology top 5%
- Epidemiology top 10%
- Co-authors
- Péter BaiAttila BrunyánszkiValérie SchreiberJosiane Ménissier‐de MurciaJohan AuwerxAline HuberCarles CantóAnthony A. Sauve
- Topics
- PARP inhibition in cancer therapy (10 papers)Gut microbiota and health (5 papers)Sirtuins and Resveratrol in Medicine (5 papers)
- Partner nations
- HungaryFranceUnited Kingdom
In The Last Decade
Borbála Kiss
37 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Molecular Biology 906
- Oncology 811
- Geriatrics and Gerontology 515
- Physiology 391
- Epidemiology 256
Countries citing papers authored by Borbála Kiss
This map shows the geographic impact of Borbála Kiss'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 Borbála Kiss with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Borbála Kiss more than expected).
Fields of papers citing papers by Borbála Kiss
This network shows the impact of papers produced by Borbála Kiss. 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 Borbála Kiss. The network helps show where Borbála Kiss may publish in the future.
Co-authorship network of co-authors of Borbála Kiss
This figure shows the co-authorship network connecting the top 25 collaborators of Borbála Kiss. A scholar is included among the top collaborators of Borbála Kiss 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 Borbála Kiss. Borbála Kiss is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 46 | |
| 3 | 49 | |
| 4 | 143 | |
| 5 | 0 | |
| 6 | 51 | |
| 7 | 29 | |
| 8 | 1 | |
| 9 | 27 | |
| 10 | 12 | |
| 11 | 38 | |
| 12 | 72 | |
| 13 | 54 | |
| 14 | 212 | |
| 15 | PARP-1 Inhibition Increases Mitochondrial Metabolism through SIRT1 Activationbreakdown → | 656 |
| 16 | 24 | |
| 17 | Poly(ADP-ribose) polymerase-2 controls adipocyte differentiation and adipose tissue function through the regulation of the activity of the retinoid X receptor/peroxisome proliferator-activated receptor-γ heterodimer (Journal of Biological Chemistry (2007) 282, (37738-37746)) | 5 |
| 18 | 102 | |
| 19 | 95 | |
| 20 | 38 |
About Borbála Kiss
Borbála Kiss is a scholar working on Geriatrics and Gerontology, Oncology and Dermatology, having authored 38 papers that have together received 2.1k indexed citations. Recurring topics across this work include PARP inhibition in cancer therapy (10 papers), Gut microbiota and health (5 papers) and Sirtuins and Resveratrol in Medicine (5 papers). The work is most often cited by research in Geriatrics and Gerontology (515 citations), Physiology (254 citations) and Oncology (811 citations). Borbála Kiss has collaborated with scholars based in Hungary, France and United Kingdom. Frequent co-authors include Péter Bai, Attila Brunyánszki, Valérie Schreiber, Josiane Ménissier‐de Murcia, Johan Auwerx, Aline Huber, Carles Cantó, Anthony A. Sauve, Hiroyasu Yamamoto and Yana Cen. Their work appears in journals such as Journal of Biological Chemistry, Angewandte Chemie International Edition 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.