Fadhl Alakwaa

1.3k citations
34 papers · 593 indexed · h-index 12
Topics
Gene expression and cancer classification (7 papers)Bioinformatics and Genomic Networks (7 papers)Gene Regulatory Network Analysis (6 papers)
Partner nations
United StatesEgyptYemen

In The Last Decade

Fadhl Alakwaa

34 papers receiving 579 citations

Peers

Fadhl Alakwaa
Comparison fields: 5 of 99
  • Molecular Biology 292
  • Physiology 88
  • Obstetrics and Gynecology 71
  • Pediatrics, Perinatology and Child Health 61
  • Neurology 57
Replace Padmaja Kumari Rani with:
Padmaja Kumari Rani India
Qiuyan Li China
Yida Wang China
Mingzhe Li China
П. С. Деменков Russia
Katryna Cisek United States
Paola León‐Mimila Mexico
Hai Li China
Mehri İğci Türkiye
Anna Cichońska Finland
Fadhl Alakwaa relative to Padmaja Kumari Rani India Padmaja Kumari Rani's profile →
Citations per field
00.5×10×15×17.8×
Padmaja Kumari Rani · 1×
Citations per year

Countries citing papers authored by Fadhl Alakwaa

Since Specialization
Citations

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

Fields of papers citing papers by Fadhl Alakwaa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fadhl Alakwaa

This figure shows the co-authorship network connecting the top 25 collaborators of Fadhl Alakwaa. A scholar is included among the top collaborators of Fadhl Alakwaa 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 Fadhl Alakwaa. Fadhl Alakwaa 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
1 1
2 3
3 1
4 3
5 1
6 10
7 1
8 28
9 16
10 7
11 17
12 57
13 48
14 23
15 172
16 5
17 19
18 6
19
BicAT_Plus: An automatic comparative tool for bi/clustering of gene expression data obtained using microarrays
5
20 6

About Fadhl Alakwaa

Fadhl Alakwaa is a scholar working on Obstetrics and Gynecology, Periodontics and Nephrology, having authored 34 papers that have together received 593 indexed citations. Recurring topics across this work include Gene expression and cancer classification (7 papers), Bioinformatics and Genomic Networks (7 papers) and Gene Regulatory Network Analysis (6 papers). The work is most often cited by research in Periodontics (52 citations), Health Informatics (13 citations) and Obstetrics and Gynecology (71 citations). Fadhl Alakwaa has collaborated with scholars based in United States, Egypt and Yemen. Frequent co-authors include Lana X. Garmire, Kumardeep Chaudhary, Masha G. Savelieff, Eva L. Feldman, Kai Guo, Yasser M. Kadah, Paula Benny, Junguk Hur, Tsute Chen and Divyashri Baraniya. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Diabetes 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026