Nimet Maherali
- Molecular Biology top 0.5%
- Surgery top 5%
- Biomedical Engineering top 5%
- Physiology top 2%
- Genetics top 2%
- Co-authors
- Konrad HochedlingerMatthias StadtfeldJochen UtikalTim AhfeldtChad A. CowanGeorge Q. DaleyM. William LenschIn-Hyun Park
- Topics
- Pluripotent Stem Cells Research (13 papers)CRISPR and Genetic Engineering (12 papers)Renal and related cancers (5 papers)
- Journals
- NatureCellNature Genetics
- Partner nations
- United StatesGermanyNetherlands
In The Last Decade
Nimet Maherali
20 papers receiving 6.8k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Molecular Biology 6.3k
- Surgery 955
- Biomedical Engineering 873
- Physiology 855
- Genetics 764
Countries citing papers authored by Nimet Maherali
This map shows the geographic impact of Nimet Maherali'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 Nimet Maherali with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nimet Maherali more than expected).
Fields of papers citing papers by Nimet Maherali
This network shows the impact of papers produced by Nimet Maherali. 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 Nimet Maherali. The network helps show where Nimet Maherali may publish in the future.
Co-authorship network of co-authors of Nimet Maherali
This figure shows the co-authorship network connecting the top 25 collaborators of Nimet Maherali. A scholar is included among the top collaborators of Nimet Maherali based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nimet Maherali. Nimet Maherali is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 36 | |
| 2 | 43 | |
| 3 | 4 | |
| 4 | 4 | |
| 5 | 11 | |
| 6 | 453 | |
| 7 | Reproducibility Project: Cancer Biology | 13 |
| 8 | 357 | |
| 9 | 276 | |
| 10 | 322 | |
| 11 | Immortalization eliminates a roadblock during cellular reprogramming into iPS cellsbreakdown → | 660 |
| 12 | 154 | |
| 13 | 248 | |
| 14 | Disease-Specific Induced Pluripotent Stem Cellsbreakdown → | 1616 |
| 15 | Defining Molecular Cornerstones during Fibroblast to iPS Cell Reprogramming in Mousebreakdown → | 621 |
| 16 | 426 | |
| 17 | 338 | |
| 18 | 24 | |
| 19 | 49 | |
| 20 | Directly Reprogrammed Fibroblasts Show Global Epigenetic Remodeling and Widespread Tissue Contributionbreakdown → | 1266 |
About Nimet Maherali
Nimet Maherali is a scholar working on Molecular Biology, Developmental Neuroscience and Genetics, having authored 20 papers that have together received 6.9k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (13 papers), CRISPR and Genetic Engineering (12 papers) and Renal and related cancers (5 papers). The work is most often cited by research in Developmental Neuroscience (517 citations), Molecular Biology (6.3k citations) and Aging (78 citations). Nimet Maherali has collaborated with scholars based in United States, Germany and Netherlands. Frequent co-authors include Konrad Hochedlinger, Matthias Stadtfeld, Jochen Utikal, Tim Ahfeldt, Chad A. Cowan, George Q. Daley, M. William Lensch, In-Hyun Park, Natasha Arora and Akiko Shimamura. Their work appears in journals such as Nature, Cell and Nature Genetics.
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.