Chen Shapira

26 papers receiving 948 citations

Peers

Chen Shapira
Comparison fields: 5 of 101
  • Biochemistry 157
  • Cell Biology 198
  • Internal Medicine 39
  • Endocrinology, Diabetes and Metabolism 172
  • Complementary and alternative medicine 78
Replace Sergio D’Addato with:
Sergio D’Addato Italy
Giacomo Levantesi Italy
Anna Hernández‐Aguilera Spain
Milada Dobiášová Czechia
Ilaria Ferrari Italy
Avedis K. Khachadurian United States
Andy K. H. Lim Australia
Laura M. Yerges‐Armstrong United States
Anne Burke United States
Miyuki Tsuchihashi Japan
Chen Shapira relative to Sergio D’Addato Italy Sergio D’Addato's profile →
Citations per field
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Sergio D’Addato · 1×
Citations per year

Countries citing papers authored by Chen Shapira

Since Specialization
Citations

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

Fields of papers citing papers by Chen Shapira

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007209
2 2008107
3 201095
4 199491
5 200673
6 199759
7 201244
8 201941
9 200939
10 201534
11 199627
12 201826
13 201422
14 201721
15 200715
16 201713
17 201713
18 201911
19 20199
20 20099

About Chen Shapira

Chen Shapira is a scholar working on Surgery, Cardiology and Cardiovascular Medicine, Cell Biology, Molecular Biology and Complementary and alternative medicine, having authored 26 papers that have together received 978 indexed citations. Recurring topics across this work include Hemoglobin structure and function (5 papers), Lipoproteins and Cardiovascular Health (4 papers), Complementary and Alternative Medicine Studies (3 papers), Metabolism and Genetic Disorders (2 papers), Pharmacogenetics and Drug Metabolism (2 papers), Phytochemistry Medicinal Plant Applications (2 papers), Lipid metabolism and disorders (2 papers) and Ethnobotanical and Medicinal Plants Studies (2 papers). The work is most often cited by research in Biochemistry (157 citations), Cell Biology (198 citations), Internal Medicine (39 citations), Endocrinology, Diabetes and Metabolism (172 citations) and Complementary and alternative medicine (78 citations). Chen Shapira has collaborated with scholars based in Israel, United States and Canada. Frequent co-authors include Uzi Milman, Andrew P. Levy, Shlomo Keidar, Shany Blum, Michael Aviram, Rachel Miller‐Lotan, Rabea Asleh, Barak Zafrir, J.G. Brook and Marielle Kaplan. Their work appears in journals such as Journal of clinical lipidology, Pharmacogenomics, Diabetes, American Journal of Obstetrics and Gynecology and Journal of Occupational Health Psychology.

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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