Chen Shemesh

459 citations
12 papers · 324 indexed · h-index 7

Impact in

  • Neurology top 10%
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Barrier Structure and Function Studies
    • Advanced Glycation End Products research

Papers in

Chen Shemesh

12 papers receiving 323 citations

Peers

Chen Shemesh
Comparison fields: 5 of 75
  • Neurology 64
  • Clinical Biochemistry 47
  • Biological Psychiatry 13
  • Physiology 109
  • Endocrine and Autonomic Systems 26
Replace Franklyn De Silva with:
Franklyn De Silva Canada
Sabine Borchard Germany
Bhanu Dasari United States
Jingwei Xie China
Martina Zandl‐Lang Austria
Rui F. Simões Portugal
Simon Heales United Kingdom
Yougen Luo China
Jaya R.P. Prasanthi United States
Jerónimo Auzmendi Argentina
Chen Shemesh relative to Franklyn De Silva Canada Franklyn De Silva's profile →
Citations per field
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Citations per year

Countries citing papers authored by Chen Shemesh

Since Specialization
Citations

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

Fields of papers citing papers by Chen Shemesh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 201671
2 201956
3 201845
4 201541
5 201937
6 202130
7 202125
8 20235
9 20215
10 20234
11 20234
12 20171

About Chen Shemesh

Chen Shemesh is a scholar working on Neurology, Virology, Physiology, Biochemistry and Endocrine and Autonomic Systems, having authored 12 papers that have together received 324 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (5 papers), Retinoids in leukemia and cellular processes (2 papers), Advanced MRI Techniques and Applications (2 papers), MRI in cancer diagnosis (2 papers), Advanced Neuroimaging Techniques and Applications (1 paper), HIV Research and Treatment (1 paper), Computational Drug Discovery Methods (1 paper) and Neuroscience and Neural Engineering (1 paper). The work is most often cited by research in Neurology (64 citations), Clinical Biochemistry (47 citations), Biological Psychiatry (13 citations), Physiology (109 citations) and Endocrine and Autonomic Systems (26 citations). Chen Shemesh has collaborated with scholars based in Israel, United States and France. Frequent co-authors include Itzik Cooper, Sigal Liraz‐Zaltsman, Michal Schnaider Beeri, Avshalom Leibowitz, Fabien Gosselet, Alexander Volkov, Iris Barshack, Ehud Grossman, Orly Ravid and Yael Mardor. Their work appears in journals such as Pharmaceutics, Aging Cell, Experimental Neurology, Journal of Pineal Research and Alzheimer s & Dementia.

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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