Saied A. Jaradat

1.9k citations
68 papers · 1.3k indexed · h-index 15
Topics
Photosynthetic Processes and Mechanisms (5 papers)Mitochondrial Function and Pathology (5 papers)Neonatal Health and Biochemistry (4 papers)
Journals
Proceedings of the National Academy of SciencesNature GeneticsSHILAP Revista de lepidopterología

In The Last Decade

Saied A. Jaradat

62 papers receiving 1.2k citations

Peers

Saied A. Jaradat
Comparison fields: 5 of 147
  • Molecular Biology 749
  • Genetics 159
  • Public Health, Environmental and Occupational Health 106
  • Surgery 87
  • Epidemiology 84
Replace Yinqiu Wang with:
Yinqiu Wang China
Georg Fuellen Germany
Attila Gyenesei Hungary
Constantin Georgescu United States
Alejandro Vazquez‐Tello Canada
Rong Yuan United States
Xiaolan Yu China
Ruijie Liu Australia
Yuying Xie United States
Chikara Shimizu Japan
Saied A. Jaradat relative to Yinqiu Wang China Yinqiu Wang's profile →
Citations per field
00.5×1.5×2.0×
Yinqiu Wang · 1×
Citations per year

Countries citing papers authored by Saied A. Jaradat

Since Specialization
Citations

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

Fields of papers citing papers by Saied A. Jaradat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Saied A. Jaradat. 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 Saied A. Jaradat. The network helps show where Saied A. Jaradat may publish in the future.

Co-authorship network of co-authors of Saied A. Jaradat

This figure shows the co-authorship network connecting the top 25 collaborators of Saied A. Jaradat. A scholar is included among the top collaborators of Saied A. Jaradat based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Saied A. Jaradat. Saied A. Jaradat is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
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2 4
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5 0
6 13
7 2
8 8
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11 19
12
Growth, water relation and physiological responses of three eggplant cultivars under different salinity levels.
5
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15 10
16 12
17 4
18
Evaluation and comparison of clustering algorithms in analyzing es cell gene expression data
130
19 178
20 9

About Saied A. Jaradat

Saied A. Jaradat is a scholar working on Genetics, Molecular Biology and Cellular and Molecular Neuroscience, having authored 68 papers that have together received 1.3k indexed citations. Recurring topics across this work include Photosynthetic Processes and Mechanisms (5 papers), Mitochondrial Function and Pathology (5 papers) and Neonatal Health and Biochemistry (4 papers). The work is most often cited by research in Molecular Biology (749 citations), Reproductive Medicine (50 citations) and Genetics (159 citations). Saied A. Jaradat has collaborated with scholars based in Jordan, United States and Canada. Frequent co-authors include Minoru S.H. Ko, Tetsuya S. Tanaka, Lawrence I. Grossman, Maik Hüttemann, Meng K. Lim, George J. Kargul, Ramaiah Nagaraja, Xiaohong Wang, Yuri Sano and Hirofumi Doi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Genetics and SHILAP Revista de lepidopterología.

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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