Abdelkader Daoud

429 citations
16 papers · 335 · h-index 10

Impact in

Papers in

    • Pluripotent Stem Cells Research 2
    • Renal and related cancers 2
    • Heat shock proteins research 1
    • Cancer Cells and Metastasis 4

Abdelkader Daoud

15 papers receiving 331 citations

Peers

Abdelkader Daoud
Comparison fields: 5 of 76
  • Pharmacology 31
  • Biochemistry 20
  • Molecular Biology 166
  • Cancer Research 27
  • Endocrinology, Diabetes and Metabolism 26
Replace Chia‐Yao Shen with:
Chia‐Yao Shen Taiwan
Katrin Fischhuber Austria
Senthil Kumar Ganesan India
Tithi Roy United States
Fernanda Cristina de Mesquita Brazil
Zhanghao Li China
Uthayashanker Ezekiel United States
Zhe Gao China
Fatima Rizvi United States
Satomi Miki Japan
Abdelkader Daoud relative to Chia‐Yao Shen Taiwan Chia‐Yao Shen's profile →
Citations per field
00.5×6.3×
Chia‐Yao Shen · 1×
Citations per year

Countries citing papers authored by Abdelkader Daoud

Since Specialization
Citations

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

Fields of papers citing papers by Abdelkader Daoud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 201453
2 201947
3 201346
4 201442
5 201541
6 202029
7 202321
8 201518
9 201910
10 20209
11 20186
12 20175
13 20214
14 20253
15 20251
16 20250

About Abdelkader Daoud

Abdelkader Daoud is a scholar working on Molecular Biology, Oncology, Surgery, Immunology and Cellular and Molecular Neuroscience, having authored 16 papers that have together received 335 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (4 papers), Pluripotent Stem Cells Research (2 papers), Renal and related cancers (2 papers), Adipose Tissue and Metabolism (2 papers), Tissue Engineering and Regenerative Medicine (2 papers), 3D Printing in Biomedical Research (2 papers), Biomarkers in Disease Mechanisms (1 paper) and Heat shock proteins research (1 paper). The work is most often cited by research in Pharmacology (31 citations), Biochemistry (20 citations), Molecular Biology (166 citations), Cancer Research (27 citations) and Endocrinology, Diabetes and Metabolism (26 citations). Abdelkader Daoud has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Jing Shang, Waseem Hassan, Jasmine Kaur, Lin Ding, Scott T. Eblen, Jing Song, Jorge O. Múnera, Li Yu, Hongbin Sun and Jun Liu. Their work appears in journals such as European Journal of Pharmacology, Current Molecular Pharmacology, Frontiers in Medicine, iScience and Oxidative Medicine and Cellular Longevity.

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.

Explore authors with similar magnitude of impact