Norma Neff
- Molecular Biology top 0.5%
- Single-cell and spatial transcriptomics 17
- DNA Repair Mechanisms 9
- Gut microbiota and health 9
- DNA and Nucleic Acid Chemistry 6
- RNA and protein synthesis mechanisms 6
- Epigenetics and DNA Methylation 6
- CRISPR and Genetic Engineering 5
- Transplantation top 1%
- Cancer Research top 0.5%
- Cancer Genomics and Diagnostics 7
- Neurology top 0.5%
- Developmental Neuroscience top 1%
- Co-authors
- Stephen R. QuakeBarbara TreutleinGary L. MantalasParvin T. YazdiStephen J. ElledgeJun QinYi WangDavid Cortez
- Journals
- Nature (6 papers)Proceedings of the National Academy of Sciences (6 papers)eLife (6 papers)
- Partner nations
- United StatesIndiaItaly
In The Last Decade
Norma Neff
89 papers receiving 13.1k citations
Hit Papers
Peers
Comparison fields: 5 of 164
- Molecular Biology 9.1k
- Transplantation 355
- Cancer Research 1.9k
- Neurology 990
- Developmental Neuroscience 358
Countries citing papers authored by Norma Neff
This map shows the geographic impact of Norma Neff'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 Norma Neff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Norma Neff more than expected).
Fields of papers citing papers by Norma Neff
This network shows the impact of papers produced by Norma Neff. 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 Norma Neff. The network helps show where Norma Neff may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Norma Neff, 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 | 2025 | 3 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 3 | |
| 4 | 2023 | 35 | |
| 5 | 2023 | 53 | |
| 6 | 2022 | 110 | |
| 7 | 2022 | 10 | |
| 8 | 2021 | 20 | |
| 9 | 2021 | 47 | |
| 10 | 2021 | 19 | |
| 11 | 2020 | 15 | |
| 12 | 2020 | 120 | |
| 13 | 2020 | 20 | |
| 14 | A molecular cell atlas of the human lung from single-cell RNA sequencingbreakdown → | 2020 | 840 |
| 15 | 2018 | 178 | |
| 16 | 2018 | 137 | |
| 17 | 2017 | 131 | |
| 18 | 2016 | 321 | |
| 19 | 2013 | 337 | |
| 20 | 1988 | 16 |
About Norma Neff
Norma Neff is a scholar working on Molecular Biology, Cancer Research and Infectious Diseases, having authored 92 papers that have together received 13.4k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (17 papers), DNA Repair Mechanisms (9 papers), Gut microbiota and health (9 papers), Cancer Genomics and Diagnostics (7 papers), DNA and Nucleic Acid Chemistry (6 papers), RNA and protein synthesis mechanisms (6 papers), Epigenetics and DNA Methylation (6 papers) and CRISPR and Genetic Engineering (5 papers). The work is most often cited by research in Molecular Biology (9.1k citations), Transplantation (355 citations) and Cancer Research (1.9k citations). Norma Neff has collaborated with scholars based in United States, India and Italy. Frequent co-authors include Stephen R. Quake, Barbara Treutlein, Gary L. Mantalas, Parvin T. Yazdi, Stephen J. Elledge, Jun Qin, Yi Wang, David Cortez, David Botstein and James H. Thomas. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences, eLife, Cell and Science.
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.