Jeff Nie
- Molecular Biology top 0.5%
- Advanced biosensing and bioanalysis techniques 8
- Pluripotent Stem Cells Research 4
- RNA Interference and Gene Delivery 3
- Bioinformatics and Genomic Networks 3
- Advanced Biosensing Techniques and Applications 3
- CRISPR and Genetic Engineering 3
- RNA and protein synthesis mechanisms 3
- Developmental Neuroscience top 1%
- Genetics top 1%
- Aging top 2%
-
- Monoclonal and Polyclonal Antibodies Research 6
- Co-authors
- James A. ThomsonRon StewartShulan TianVictor RuottiGuðrún A. JónsdóttirIgor I. SlukvinMaxim A. VodyanikJunying Yu
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Analytical Chemistry (2 papers)Genome Research (2 papers)
- Partner nations
- United StatesChinaFrance
In The Last Decade
Jeff Nie
20 papers receiving 9.2k citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Molecular Biology 8.3k
- Developmental Neuroscience 389
- Genetics 810
- Aging 110
- Cellular and Molecular Neuroscience 772
Countries citing papers authored by Jeff Nie
This map shows the geographic impact of Jeff Nie'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 Jeff Nie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeff Nie more than expected).
Fields of papers citing papers by Jeff Nie
This network shows the impact of papers produced by Jeff Nie. 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 Jeff Nie. The network helps show where Jeff Nie may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jeff Nie, 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 | 2019 | 87 | |
| 2 | 2014 | 42 | |
| 3 | 2013 | 105 | |
| 4 | 2013 | 38 | |
| 5 | 2013 | 1 | |
| 6 | 2013 | 98 | |
| 7 | 2012 | 87 | |
| 8 | 2012 | 33 | |
| 9 | 2012 | 63 | |
| 10 | 2012 | 3 | |
| 11 | 2011 | 25 | |
| 12 | 2011 | 118 | |
| 13 | 2010 | 215 | |
| 14 | 2009 | 100 | |
| 15 | 2008 | 36 | |
| 16 | 2008 | 300 | |
| 17 | Induced Pluripotent Stem Cell Lines Derived from Human Somatic Cellsbreakdown → | 2007 | 7504 |
| 18 | Whole-Genome Analysis of Histone H3 Lysine 4 and Lysine 27 Methylation in Human Embryonic Stem Cellsbreakdown → | 2007 | 544 |
| 19 | 2004 | 16 | |
| 20 | 2004 | 25 |
About Jeff Nie
Jeff Nie is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Immunology and Allergy, Ecology and Genetics, having authored 20 papers that have together received 9.4k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (8 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Pluripotent Stem Cells Research (4 papers), RNA Interference and Gene Delivery (3 papers), Bioinformatics and Genomic Networks (3 papers), Advanced Biosensing Techniques and Applications (3 papers), CRISPR and Genetic Engineering (3 papers) and RNA and protein synthesis mechanisms (3 papers). The work is most often cited by research in Molecular Biology (8.3k citations), Developmental Neuroscience (389 citations), Genetics (810 citations), Aging (110 citations) and Cellular and Molecular Neuroscience (772 citations). Jeff Nie has collaborated with scholars based in United States, China and France. Frequent co-authors include James A. Thomson, Ron Stewart, Shulan Tian, Victor Ruotti, Guðrún A. Jónsdóttir, Igor I. Slukvin, Maxim A. Vodyanik, Junying Yu, Jessica Antosiewicz‐Bourget and Kim Smuga-Otto. Their work appears in journals such as Proceedings of the National Academy of Sciences, Analytical Chemistry, Genome Research, PLoS ONE and Stem 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.