Ignacio Niechi
Impact in
- Physiology top 5%
- Adenosine and Purinergic Signaling
- Genetics top 5%
- Glioma Diagnosis and Treatment
Papers in
-
- Mechanisms of cancer metastasis 5
- Protein Kinase Regulation and GTPase Signaling 5
- PI3K/AKT/mTOR signaling in cancer 5
- Epigenetics and DNA Methylation 4
- Genetics 11
- Glioma Diagnosis and Treatment 10
- Co-authors
- Claudia Quezada (9 shared papers)Rody San Martín (10 shared papers)Ángelo Torres (9 shared papers)Daniel Uribe (10 shared papers)Julio C. Tapia (14 shared papers)José Ignacio Erices (12 shared papers)Luis Sobrevía (3 shared papers)Eduardo Silva-Pavez (9 shared papers)
In The Last Decade
Ignacio Niechi
28 papers receiving 735 citations
Peers
Comparison fields: 5 of 84
- Physiology 93
- Genetics 174
- Cancer Research 202
- Molecular Biology 480
- Oncology 140
Countries citing papers authored by Ignacio Niechi
This map shows the geographic impact of Ignacio Niechi'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 Ignacio Niechi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ignacio Niechi more than expected).
Fields of papers citing papers by Ignacio Niechi
This network shows the impact of papers produced by Ignacio Niechi. 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 Ignacio Niechi. The network helps show where Ignacio Niechi may publish in the future.
Co-authors
The 25 scholars most cited alongside Ignacio Niechi, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 100 | |
| 2 | 2010 | 65 | |
| 3 | 2017 | 63 | |
| 4 | 2019 | 60 | |
| 5 | 2023 | 57 | |
| 6 | 2019 | 53 | |
| 7 | 2011 | 44 | |
| 8 | 2018 | 38 | |
| 9 | 2018 | 36 | |
| 10 | 2017 | 28 | |
| 11 | 2011 | 26 | |
| 12 | 2015 | 26 | |
| 13 | 2019 | 21 | |
| 14 | 2022 | 20 | |
| 15 | 2019 | 17 | |
| 16 | 2019 | 17 | |
| 17 | 2018 | 12 | |
| 18 | 2019 | 11 | |
| 19 | 2022 | 9 | |
| 20 | 2023 | 8 |
About Ignacio Niechi
Ignacio Niechi is a scholar working on Molecular Biology, Genetics, Physiology, Oncology and Cancer Research, having authored 29 papers that have together received 741 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (10 papers), Adenosine and Purinergic Signaling (7 papers), Mechanisms of cancer metastasis (5 papers), Protein Kinase Regulation and GTPase Signaling (5 papers), PI3K/AKT/mTOR signaling in cancer (5 papers), Epigenetics and DNA Methylation (4 papers), Drug Transport and Resistance Mechanisms (4 papers) and MicroRNA in disease regulation (3 papers). The work is most often cited by research in Physiology (93 citations), Genetics (174 citations), Cancer Research (202 citations), Molecular Biology (480 citations) and Oncology (140 citations). Ignacio Niechi has collaborated with scholars based in Chile, Spain and Australia. Frequent co-authors include Claudia Quezada, Rody San Martín, Ángelo Torres, Daniel Uribe, Julio C. Tapia, José Ignacio Erices, Luis Sobrevía, Eduardo Silva-Pavez, Ricardo Armisén and Carlos Oyarzún. Their work appears in journals such as International Journal of Molecular Sciences, Molecular Aspects of Medicine, Biological Research, Frontiers in Oncology and Cells.
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.