Nathaniel B. Goldstein
- Cell Biology top 5%
- melanin and skin pigmentation 9
- Hippo pathway signaling and YAP/TAZ 2
- Dermatology top 5%
- Skin Protection and Aging 3
- Toxicology top 5%
-
- RNA Interference and Gene Delivery 6
- Cell death mechanisms and regulation 4
- RNA regulation and disease 3
-
- Hair Growth and Disorders 2
-
- Mast cells and histamine 2
- Co-authors
- David A. NorrisYiqun G. ShellmanStanca A. BirleaMayumi FujitaDennis R. RoopLeslie A. MillerWilliam A. RobinsonKatie Partyka
- Cited by
- Cell BiologyDermatologyToxicology
- Journals
- PLoS ONE (1 paper)Developmental Biology (1 paper)Journal of Investigative Dermatology (10 papers)
- Partner nations
- United StatesUnited KingdomSingapore
In The Last Decade
Nathaniel B. Goldstein
18 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Cell Biology 288
- Dermatology 120
- Toxicology 38
- Molecular Biology 625
- Cancer Research 110
Countries citing papers authored by Nathaniel B. Goldstein
This map shows the geographic impact of Nathaniel B. Goldstein'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 Nathaniel B. Goldstein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathaniel B. Goldstein more than expected).
Fields of papers citing papers by Nathaniel B. Goldstein
This network shows the impact of papers produced by Nathaniel B. Goldstein. 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 Nathaniel B. Goldstein. The network helps show where Nathaniel B. Goldstein may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nathaniel B. Goldstein, 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 | 2024 | 2 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 5 | |
| 4 | 2020 | 15 | |
| 5 | 2019 | 26 | |
| 6 | 2017 | 35 | |
| 7 | 2017 | 40 | |
| 8 | 2016 | 8 | |
| 9 | 2015 | 88 | |
| 10 | 2012 | 49 | |
| 11 | 2011 | 33 | |
| 12 | 2011 | 35 | |
| 13 | 2008 | 20 | |
| 14 | 2008 | 50 | |
| 15 | 2007 | 69 | |
| 16 | A simple technique for quantifying apoptosis in 96-well platesbreakdown → | 2005 | 726 |
| 17 | 2001 | 67 | |
| 18 | Treatment of EBV transformed tumors with antisense oligodeoxynucleotides against EBNA-1 enhances tumor chemosensitivity | 1999 | 1 |
About Nathaniel B. Goldstein
Nathaniel B. Goldstein is a scholar working on Cell Biology, Dermatology and Urology, having authored 18 papers that have together received 1.3k indexed citations. Recurring topics across this work include melanin and skin pigmentation (9 papers), RNA Interference and Gene Delivery (6 papers), Cell death mechanisms and regulation (4 papers), RNA regulation and disease (3 papers), Skin Protection and Aging (3 papers), Hair Growth and Disorders (2 papers), Mast cells and histamine (2 papers) and Hippo pathway signaling and YAP/TAZ (2 papers). The work is most often cited by research in Cell Biology (288 citations), Dermatology (120 citations) and Toxicology (38 citations). Nathaniel B. Goldstein has collaborated with scholars based in United States, United Kingdom and Singapore. Frequent co-authors include David A. Norris, Yiqun G. Shellman, Stanca A. Birlea, Mayumi Fujita, Dennis R. Roop, Leslie A. Miller, William A. Robinson, Katie Partyka, Maranke I. Koster and Steven E. Robinson. Their work appears in journals such as PLoS ONE, Developmental Biology and Journal of Investigative Dermatology.
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.