Lukas Chávez
Impact in
- Genetics top 2%
- Glioma Diagnosis and Treatment
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
Papers in
-
- Epigenetics and DNA Methylation 18
- RNA modifications and cancer 7
- Cancer-related gene regulation 5
- Pluripotent Stem Cells Research 3
- Genetics 8
- Glioma Diagnosis and Treatment 8
- Co-authors
- Anjana Rao (13 shared papers)Ralf Herwig (6 shared papers)Matthias Lienhard (7 shared papers)William A. Pastor (7 shared papers)Christina Grimm (3 shared papers)Ashu Chawla (4 shared papers)James Adjaye (7 shared papers)Markus Morkel (2 shared papers)
- Journals
- Neuro-Oncology (7 papers)Proceedings of the National Academy of Sciences (5 papers)Nature Immunology (3 papers)Nature Communications (3 papers)PLoS ONE (2 papers)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Lukas Chávez
44 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 112
- Genetics 418
- Immunology 658
- Molecular Biology 2.0k
- Endocrine and Autonomic Systems 164
- Aging 42
Countries citing papers authored by Lukas Chávez
This map shows the geographic impact of Lukas Chávez'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 Lukas Chávez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lukas Chávez more than expected).
Fields of papers citing papers by Lukas Chávez
This network shows the impact of papers produced by Lukas Chávez. 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 Lukas Chávez. The network helps show where Lukas Chávez may publish in the future.
Co-authors
The 25 scholars most cited alongside Lukas Chávez, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 295 | |
| 2 | 2013 | 239 | |
| 3 | 2016 | 227 | |
| 4 | 2016 | 223 | |
| 5 | 2019 | 222 | |
| 6 | 2014 | 206 | |
| 7 | 2016 | 163 | |
| 8 | 2015 | 143 | |
| 9 | 2014 | 137 | |
| 10 | 2010 | 133 | |
| 11 | 2017 | 130 | |
| 12 | 2015 | 125 | |
| 13 | 2016 | 111 | |
| 14 | 2015 | 88 | |
| 15 | 2016 | 88 | |
| 16 | 2017 | 86 | |
| 17 | 2016 | 75 | |
| 18 | 2010 | 68 | |
| 19 | 2018 | 62 | |
| 20 | 2010 | 56 |
About Lukas Chávez
Lukas Chávez is a scholar working on Molecular Biology, Genetics, Cancer Research, Immunology and Genetics, having authored 47 papers that have together received 3.3k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (18 papers), Glioma Diagnosis and Treatment (8 papers), RNA modifications and cancer (7 papers), T-cell and B-cell Immunology (6 papers), Cancer Genomics and Diagnostics (5 papers), Cancer-related gene regulation (5 papers), Immune Cell Function and Interaction (4 papers) and Pluripotent Stem Cells Research (3 papers). The work is most often cited by research in Genetics (418 citations), Immunology (658 citations), Molecular Biology (2.0k citations), Endocrine and Autonomic Systems (164 citations) and Aging (42 citations). Lukas Chávez has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Anjana Rao, Ralf Herwig, Matthias Lienhard, William A. Pastor, Christina Grimm, Ashu Chawla, James Adjaye, Markus Morkel, Grégory Seumois and Pandurangan Vijayanand. Their work appears in journals such as Neuro-Oncology, Proceedings of the National Academy of Sciences, Nature Immunology, Nature Communications 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.