Anush Mukeria
- Molecular Biology
- Pulmonary and Respiratory Medicine top 10%
- Cancer Research top 5%
- Oncology top 10%
- Physiology
- Co-authors
- Paolo BoffettaPaul BrennanДавид ЗаридзеFredrik NybergVali ConstantinescuRayjean J. HungFlorence Le Calvez‐KelmCristina Fortes
- Topics
- Glutathione Transferases and Polymorphisms (6 papers)Genomics, phytochemicals, and oxidative stress (4 papers)Renal cell carcinoma treatment (3 papers)
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- FranceRussiaUnited States
In The Last Decade
Anush Mukeria
23 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 100
- Molecular Biology 618
- Pulmonary and Respiratory Medicine 374
- Cancer Research 360
- Oncology 309
- Physiology 115
Countries citing papers authored by Anush Mukeria
This map shows the geographic impact of Anush Mukeria'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 Anush Mukeria with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anush Mukeria more than expected).
Fields of papers citing papers by Anush Mukeria
This network shows the impact of papers produced by Anush Mukeria. 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 Anush Mukeria. The network helps show where Anush Mukeria may publish in the future.
Co-authorship network of co-authors of Anush Mukeria
This figure shows the co-authorship network connecting the top 25 collaborators of Anush Mukeria. A scholar is included among the top collaborators of Anush Mukeria 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 Anush Mukeria. Anush Mukeria is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 37 | |
| 7 | 110 | |
| 8 | 1 | |
| 9 | 85 | |
| 10 | 56 | |
| 11 | 83 | |
| 12 | 45 | |
| 13 | 207 | |
| 14 | 11 | |
| 15 | 11 | |
| 16 | Lung cancer risk in nonsmokers and GSTM1 and GSTT1 genetic polymorphism. | 73 |
| 17 | p53 mutations and exposure to environmental tobacco smoke in a multicenter study on lung cancer. | 88 |
| 18 | 32 | |
| 19 | 4-Hydroxy-1-(3-pyridyl)-1-butanone-hemoglobin adducts as biomarkers of exposure to tobacco smoke: validation of a method to be used in multicenter studies. | 25 |
| 20 | 10 |
About Anush Mukeria
Anush Mukeria is a scholar working on Cancer Research, Oncology and Molecular Biology, having authored 26 papers that have together received 1.1k indexed citations. Recurring topics across this work include Glutathione Transferases and Polymorphisms (6 papers), Genomics, phytochemicals, and oxidative stress (4 papers) and Renal cell carcinoma treatment (3 papers). The work is most often cited by research in Cancer Research (360 citations), Pulmonary and Respiratory Medicine (374 citations) and Oncology (309 citations). Anush Mukeria has collaborated with scholars based in France, Russia and United States. Frequent co-authors include Paolo Boffetta, Paul Brennan, Давид Заридзе, Fredrik Nyberg, Vali Constantinescu, Rayjean J. Hung, Florence Le Calvez‐Kelm, Cristina Fortes, Pierre Hainaut and Irene Brüske‐Hohlfeld. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología 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.