Emmanuel Datan

935 citations
15 papers · 741 · h-index 11

Impact in

Papers in

    • Histone Deacetylase Inhibitors Research 3
    • RNA modifications and cancer 2
    • Cell death mechanisms and regulation 2
    • Autophagy in Disease and Therapy 4

Emmanuel Datan

15 papers receiving 736 citations

Peers

Emmanuel Datan
Comparison fields: 5 of 80
  • Complementary and alternative medicine 98
  • Virology 46
  • Public Health, Environmental and Occupational Health 249
  • Infectious Diseases 143
  • Epidemiology 264
Replace Muhammad Idrees with:
Muhammad Idrees Pakistan
Sameena Khan India
Li-Kwan Chang Taiwan
Young‐Chan Kwon South Korea
Yung‐Luen Shih Taiwan
Parul Mehra India
Fuminori Tanabe Japan
Xiaowu Pang United States
Qiulong Huang United States
Malini Bajpai India
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Citations per field
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Citations per year

Countries citing papers authored by Emmanuel Datan

Since Specialization
Citations

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

Fields of papers citing papers by Emmanuel Datan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2011206
2 2020105
3 201696
4 200980
5 201664
6 201456
7 201953
8 202220
9 202019
10 201614
11 202311
12 20248
13 20205
14 20243
15 20181

About Emmanuel Datan

Emmanuel Datan is a scholar working on Molecular Biology, Epidemiology, Public Health, Environmental and Occupational Health, Complementary and alternative medicine and Immunology, having authored 15 papers that have together received 741 indexed citations. Recurring topics across this work include Natural Compounds in Disease Treatment (4 papers), Autophagy in Disease and Therapy (4 papers), Mosquito-borne diseases and control (4 papers), Cancer, Hypoxia, and Metabolism (3 papers), Histone Deacetylase Inhibitors Research (3 papers), HIV Research and Treatment (2 papers), RNA modifications and cancer (2 papers) and Cell death mechanisms and regulation (2 papers). The work is most often cited by research in Complementary and alternative medicine (98 citations), Virology (46 citations), Public Health, Environmental and Occupational Health (249 citations), Infectious Diseases (143 citations) and Epidemiology (264 citations). Emmanuel Datan has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Zahra Zakeri, Jeffrey E. McLean, Aleksandra Wudzinska, Daniela Quaglino, Demetrius Matassov, Richard A. Lockshin, Qingli He, Martin G. Pomper, Il Minn and Jun O. Liu. Their work appears in journals such as Cell Reports, Science Advances, iScience, Cell Death and Disease and Journal of Biological Chemistry.

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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