Mohana Ray
Impact in
- Biological Psychiatry top 2%
- Developmental Neuroscience top 5%
Papers in
-
- Epigenetics and DNA Methylation 5
- Genomics and Chromatin Dynamics 3
- Single-cell and spatial transcriptomics 3
- RNA modifications and cancer 1
- Pluripotent Stem Cells Research 1
- Chromatin Remodeling and Cancer 1
- Genetics 2
- Co-authors
- Ralph W. Weichselbaum (1 shared paper)Kevin King Roggin (1 shared paper)Hedy Lee Kindler (1 shared paper)Tiha M. Long (1 shared paper)Tonya M. Brunetti (1 shared paper)Wenan Qiang (1 shared paper)Isabel Romero‐Calvo (1 shared paper)Jeremy P. Segal (1 shared paper)
- Journals
- Science (5 papers)BMC Genomics (1 paper)Nature Communications (1 paper)Molecular Cancer Research (1 paper)Genome Medicine (1 paper)
- Partner nations
- United StatesSingaporeIndia
In The Last Decade
Mohana Ray
10 papers receiving 2.6k citations
Mohana Ray's Hit Papers
Peers
Comparison fields: 5 of 103
- Biological Psychiatry 189
- Developmental Neuroscience 145
- Genetics 891
- Neurology 199
- Molecular Biology 1.5k
Countries citing papers authored by Mohana Ray
This map shows the geographic impact of Mohana Ray'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 Mohana Ray with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohana Ray more than expected).
Fields of papers citing papers by Mohana Ray
This network shows the impact of papers produced by Mohana Ray. 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 Mohana Ray. The network helps show where Mohana Ray may publish in the future.
Co-authors
The 25 scholars most cited alongside Mohana Ray, 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 | Transcriptome-wide isoform-level dysregulation in ASD, schizophrenia, and bipolar disorder Hit paper breakdown → | 2018 | 892 |
| 2 | Comprehensive functional genomic resource and integrative model for the human brain Hit paper breakdown → | 2018 | 647 |
| 3 | Integrative functional genomic analysis of human brain development and neuropsychiatric risks Hit paper breakdown → | 2018 | 560 |
| 4 | 2018 | 233 | |
| 5 | 2018 | 100 | |
| 6 | 2021 | 66 | |
| 7 | 2018 | 37 | |
| 8 | 2013 | 25 | |
| 9 | 2020 | 20 | |
| 10 | 2021 | 16 |
About Mohana Ray
Mohana Ray is a scholar working on Molecular Biology, Genetics, Cancer Research, Oncology and Pulmonary and Respiratory Medicine, having authored 10 papers that have together received 2.6k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (5 papers), Genomics and Chromatin Dynamics (3 papers), Single-cell and spatial transcriptomics (3 papers), Cancer Genomics and Diagnostics (1 paper), RNA modifications and cancer (1 paper), Pluripotent Stem Cells Research (1 paper), Cancer Cells and Metastasis (1 paper) and Chromatin Remodeling and Cancer (1 paper). The work is most often cited by research in Biological Psychiatry (189 citations), Developmental Neuroscience (145 citations), Genetics (891 citations), Neurology (199 citations) and Molecular Biology (1.5k citations). Mohana Ray has collaborated with scholars based in United States, Singapore and India. Frequent co-authors include Ralph W. Weichselbaum, Kevin King Roggin, Hedy Lee Kindler, Tiha M. Long, Tonya M. Brunetti, Wenan Qiang, Isabel Romero‐Calvo, Jeremy P. Segal, Mary M. Buschmann and Christopher R. Weber. Their work appears in journals such as Science, BMC Genomics, Nature Communications, Molecular Cancer Research and Genome Medicine.
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.