Daniel Stein

837 citations
17 papers · 495 · h-index 11

Impact in

Papers in

    • RNA Research and Splicing 2
    • Chemical Synthesis and Analysis 2
    • Glycosylation and Glycoproteins Research 2
    • RNA regulation and disease 2
    • Sirtuins and Resveratrol in Medicine 8

Daniel Stein

16 papers receiving 483 citations

Peers

Daniel Stein
Comparison fields: 5 of 77
  • Geriatrics and Gerontology 185
  • Physiology 61
  • Aging 13
  • Biological Psychiatry 16
  • Molecular Biology 297
Replace Lucia Polletta with:
Lucia Polletta Italy
Hüseyin Çimen United States
Yu Jin Hwang South Korea
Elżbieta Kania Poland
Bárbara Paranhos Coelho Brazil
Sokhna M. S. Yakhine-Diop Spain
Joslyn Mills United States
Eleonora Paradies Italy
Isabel de Lavera Spain
Haihui Pan United States
Daniel Stein relative to Lucia Polletta Italy Lucia Polletta's profile →
Citations per field
00.5×3.2×
Lucia Polletta · 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

17 of 17 papers shown
#Work
1 2017122
2 2020104
3 202351
4 200841
5 202131
6 200530
7 200622
8 202122
9 202118
10 201717
11 201212
12 201810
13 20229
14 20214
15 20241
16 20241
17 20250

About Daniel Stein

Daniel Stein is a scholar working on Molecular Biology, Geriatrics and Gerontology, Organic Chemistry, Epidemiology and Cell Biology, having authored 17 papers that have together received 495 indexed citations. Recurring topics across this work include Sirtuins and Resveratrol in Medicine (8 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Carbohydrate Chemistry and Synthesis (3 papers), Autophagy in Disease and Therapy (3 papers), RNA Research and Splicing (2 papers), Chemical Synthesis and Analysis (2 papers), Glycosylation and Glycoproteins Research (2 papers) and RNA regulation and disease (2 papers). The work is most often cited by research in Geriatrics and Gerontology (185 citations), Physiology (61 citations), Aging (13 citations), Biological Psychiatry (16 citations) and Molecular Biology (297 citations). Daniel Stein has collaborated with scholars based in Israel, Russia and Germany. Frequent co-authors include Debra Toiber, Shai Kaluski, Monica Einav, Miguel Portillo, Raúl Mostoslavsky, Uwe Linne, Mohamed A. Marahiel, Yunung Nina Lin, Chun‐Hung Lin and Thomas Arendt. Their work appears in journals such as Cell Death and Disease, Cell Reports, Advanced Synthesis & Catalysis, Scientific Reports 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.

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