Daniel Stein

882 citations
21 papers · 665 · h-index 13

Impact in

Papers in

Daniel Stein

21 papers receiving 634 citations

Peers

Daniel Stein
Comparison fields: 5 of 85
  • Geriatrics and Gerontology 201
  • Physiology 61
  • Biological Psychiatry 21
  • Aging 12
  • Molecular Biology 339
Replace Mi Nam Lee with:
Mi Nam Lee South Korea
Lucia Polletta Italy
Shenzhen Huang China
Céline Boursier France
Aleksandra Andryushkova Austria
Eleana Sphicas United States
Jungeun Noh South Korea
Isak Im South Korea
Michael S. Cosgrove United States
Omar S. Khan United States
Daniel Stein relative to Mi Nam Lee South Korea Mi Nam Lee's profile →
Citations per field
00.5×2×2.8×
Mi Nam Lee · 1×
Citations per year

Countries citing papers authored by Daniel Stein

Since Specialization
Citations

This map shows the geographic impact of Daniel Stein'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 Daniel Stein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Stein more than expected).

Fields of papers citing papers by Daniel Stein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Stein. 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 Daniel Stein. The network helps show where Daniel Stein may publish in the future.

Co-authors

The 25 scholars most cited alongside Daniel Stein, 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 Daniel Stein Line = papers co-authored together Daniel Stein links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017133
2 2020113
3 202363
4 200847
5 201541
6 202137
7 201437
8 200531
9 200624
10 202122
11 202120
12 202119
13 201719
14 201313
15 201212
16 201811
17 202211
18 20215
19 20243
20 20253

About Daniel Stein

Daniel Stein is a scholar working on Geriatrics and Gerontology, Molecular Biology, Organic Chemistry, Physiology and Cell Biology, having authored 21 papers that have together received 665 indexed citations. Recurring topics across this work include Sirtuins and Resveratrol in Medicine (8 papers), Chemical Synthesis and Analysis (3 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Autophagy in Disease and Therapy (3 papers), Quinazolinone synthesis and applications (3 papers), Carbohydrate Chemistry and Synthesis (3 papers), Glycosylation and Glycoproteins Research (2 papers) and Biochemical and Molecular Research (2 papers). The work is most often cited by research in Geriatrics and Gerontology (201 citations), Physiology (61 citations), Biological Psychiatry (21 citations), Aging (12 citations) and Molecular Biology (339 citations). Daniel Stein has collaborated with scholars based in Israel, Germany and Russia. Frequent co-authors include Debra Toiber, Shai Kaluski, Monica Einav, Miguel Portillo, Raúl Mostoslavsky, Yunung Nina Lin, Uwe Linne, Mohamed A. Marahiel, Chun‐Hung Lin and Uwe Ueberham. Their work appears in journals such as Journal of Medicinal Chemistry, Cell Death and Disease, Cell Reports, Advanced Synthesis & Catalysis and Aging.

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.

Explore authors with similar magnitude of impact