Hazem Abdelkarim

495 citations
18 papers · 357 indexed · h-index 13
    • T-cell and B-cell Immunology 3
    • Chemokine receptors and signaling 4
    • Histone Deacetylase Inhibitors Research 6
    • Receptor Mechanisms and Signaling 5
    • Protein Degradation and Inhibitors 4
    • Protein Kinase Regulation and GTPase Signaling 3
    • Click Chemistry and Applications 2
    • Cellular transport and secretion 2

Hazem Abdelkarim

18 papers receiving 350 citations

Peers

Hazem Abdelkarim
Comparison fields: 5 of 66
  • Immunology 79
  • Oncology 97
  • Molecular Biology 229
  • Physiology 52
  • Organic Chemistry 54
Replace Chu Myong Seong with:
Chu Myong Seong South Korea
Xavier Charest‐Morin Canada
Francesca Zonta Italy
Jen‐Chine Wu Taiwan
Giuseppina Claps United States
Kristen Bisanz United States
Niko Schmiedeberg Germany
Tracy Warr United Kingdom
Marie-Anne Goyette Canada
Nathalie Rousselet France
Hazem Abdelkarim relative to Chu Myong Seong South Korea Chu Myong Seong's profile →
Citations per field
00.5×10×14.5×
Chu Myong Seong · 1×
Citations per year

Countries citing papers authored by Hazem Abdelkarim

Since Specialization
Citations

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

Fields of papers citing papers by Hazem Abdelkarim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

18 of 18 papers shown
#Work
1 202114
2 20201
3 202046
4 20195
5 201919
6 201914
7 201914
8 201830
9 201854
10 20187
11 201831
12 20179
13 201733
14 201714
15 201323
16 201311
17 201218
18 201214

About Hazem Abdelkarim

Hazem Abdelkarim is a scholar working on Oncology, Molecular Biology and Physiology, having authored 18 papers that have together received 357 indexed citations. Recurring topics across this work include Histone Deacetylase Inhibitors Research (6 papers), Receptor Mechanisms and Signaling (5 papers), Chemokine receptors and signaling (4 papers), Protein Degradation and Inhibitors (4 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), T-cell and B-cell Immunology (3 papers), Click Chemistry and Applications (2 papers) and Cellular transport and secretion (2 papers). The work is most often cited by research in Immunology (79 citations), Oncology (97 citations) and Molecular Biology (229 citations). Hazem Abdelkarim has collaborated with scholars based in United States, India and Argentina. Frequent co-authors include Vadim Gaponenko, Pavel A. Petukhov, Aditya S. Vaidya, Gregory R. J. Thatcher, Richard B. van Breemen, Nadya I. Tarasova, Antonett Madriaga, Avik Banerjee, Xianlong Gao and Matthias Majetschak. Their work appears in journals such as PLoS ONE, Oncogene and Scientific Reports.

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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