Niru Chennagiri
Impact in
- Paleontology top 10%
- Archaeology and ancient environmental studies
- Archeology top 5%
- Forensic Anthropology and Bioarchaeology Studies
Papers in
- Genetics 5
- Genomics and Rare Diseases 2
- Estrogen and related hormone effects 1
- Forensic and Genetic Research 1
- Genetic and Kidney Cyst Diseases 1
-
- Cystic Fibrosis Research Advances 3
- Co-authors
- María Cátira Bortolini (1 shared paper)David Reich (1 shared paper)Tábita Hünemeier (1 shared paper)Swapan Mallick (1 shared paper)Maria Luiza Petzl‐Erler (1 shared paper)Nick Patterson (1 shared paper)Pontus Skoglund (1 shared paper)Francisco M. Salzano (1 shared paper)
- Journals
- Genetics in Medicine (1 paper)Fertility and Sterility (1 paper)Cancer Research (1 paper)Nature (1 paper)Journal of Molecular Diagnostics (1 paper)
- Partner nations
- United StatesBrazil
In The Last Decade
Niru Chennagiri
6 papers receiving 268 citations
Peers
Comparison fields: 5 of 77
- Paleontology 58
- Archeology 61
- Genetics 146
- Anthropology 46
- Geography, Planning and Development 14
Countries citing papers authored by Niru Chennagiri
This map shows the geographic impact of Niru Chennagiri'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 Niru Chennagiri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Niru Chennagiri more than expected).
Fields of papers citing papers by Niru Chennagiri
This network shows the impact of papers produced by Niru Chennagiri. 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 Niru Chennagiri. The network helps show where Niru Chennagiri may publish in the future.
Co-authors
The 25 scholars most cited alongside Niru Chennagiri, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 204 | |
| 2 | 2014 | 32 | |
| 3 | 2013 | 30 | |
| 4 | 2016 | 11 | |
| 5 | 2024 | 1 | |
| 6 | 2013 | 1 |
About Niru Chennagiri
Niru Chennagiri is a scholar working on Genetics, Pulmonary and Respiratory Medicine, Pediatrics, Perinatology and Child Health, Molecular Biology and Paleontology, having authored 6 papers that have together received 279 indexed citations. Recurring topics across this work include Cystic Fibrosis Research Advances (3 papers), Genomics and Rare Diseases (2 papers), Prenatal Screening and Diagnostics (2 papers), Estrogen and related hormone effects (1 paper), Glycosylation and Glycoproteins Research (1 paper), Forensic and Genetic Research (1 paper), Genetic and Kidney Cyst Diseases (1 paper) and Archaeology and ancient environmental studies (1 paper). The work is most often cited by research in Paleontology (58 citations), Archeology (61 citations), Genetics (146 citations), Anthropology (46 citations) and Geography, Planning and Development (14 citations). Niru Chennagiri has collaborated with scholars based in United States and Brazil. Frequent co-authors include María Cátira Bortolini, David Reich, Tábita Hünemeier, Swapan Mallick, Maria Luiza Petzl‐Erler, Nick Patterson, Pontus Skoglund, Francisco M. Salzano, Stephanie Hallam and Gregory J. Porreca. Their work appears in journals such as Genetics in Medicine, Fertility and Sterility, Cancer Research, Nature and Journal of Molecular Diagnostics.
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.