Nathaniel B. Goldstein

1.7k citations
18 papers · 1.3k indexed · 1 hit paper · h-index 13

Nathaniel B. Goldstein

18 papers receiving 1.2k citations

Hit Papers

A simple technique for quantifying apoptosis in 96-well p...7262005202620122019200400600

Peers

Nathaniel B. Goldstein
Comparison fields: 5 of 107
  • Cell Biology 288
  • Dermatology 120
  • Toxicology 38
  • Molecular Biology 625
  • Cancer Research 110
Replace Alina Grzanka with:
Alina Grzanka Poland
Imran Khan United States
Yiqun G. Shellman United States
Elizabeth R. Sharlow United States
Sheila Maria Brochado Winnischofer Brazil
Arkadiusz Surażyński Poland
Jin‐Chul Kim South Korea
Andrew L. Niles United States
Artur Beberok Poland
Sarah D. Lamore United States
Nathaniel B. Goldstein relative to Alina Grzanka Poland Alina Grzanka's profile →
Citations per field
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Citations per year

Countries citing papers authored by Nathaniel B. Goldstein

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Nathaniel B. Goldstein Line = papers co-authored together Nathaniel B. Goldstein links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 20242
2 20241
3 20245
4 202015
5 201926
6 201735
7 201740
8 20168
9 201588
10 201249
11 201133
12 201135
13 200820
14 200850
15 200769
16
A simple technique for quantifying apoptosis in 96-well platesbreakdown →
2005726
17 200167
18
Treatment of EBV transformed tumors with antisense oligodeoxynucleotides against EBNA-1 enhances tumor chemosensitivity
19991

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.

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