Fátima Al‐Shahrour

25.8k citations
100 papers · 6.4k indexed · 2 hit papers · h-index 41
Topics
Bioinformatics and Genomic Networks (25 papers)Gene expression and cancer classification (21 papers)Cancer Genomics and Diagnostics (17 papers)

In The Last Decade

Fátima Al‐Shahrour

99 papers receiving 6.3k citations

Hit Papers

FatiGO: a web tool for finding significant associations o...200420262011201820042010250500750

Peers

Fátima Al‐Shahrour
Comparison fields: 5 of 146
  • Molecular Biology 3.9k
  • Hematology 1.5k
  • Genetics 1.2k
  • Oncology 866
  • Cancer Research 837
Replace Sjaak Philipsen with:
Sjaak Philipsen Netherlands
Robert Latek United States
Yaacov Ben‐David Canada
Yan W. Asmann United States
Bo Porse Denmark
Richard Leduc Canada
Chao Lü United States
Emery H. Bresnick United States
Jean Mosser France
James Palis United States
Fátima Al‐Shahrour relative to Sjaak Philipsen Netherlands Sjaak Philipsen's profile →
Citations per field
00.5×1.6×
Sjaak Philipsen · 1×
Citations per year

Countries citing papers authored by Fátima Al‐Shahrour

Since Specialization
Citations

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

Fields of papers citing papers by Fátima Al‐Shahrour

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fátima Al‐Shahrour. 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 Fátima Al‐Shahrour. The network helps show where Fátima Al‐Shahrour may publish in the future.

Co-authorship network of co-authors of Fátima Al‐Shahrour

This figure shows the co-authorship network connecting the top 25 collaborators of Fátima Al‐Shahrour. A scholar is included among the top collaborators of Fátima Al‐Shahrour 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 Fátima Al‐Shahrour. Fátima Al‐Shahrour 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 9
2 3
3 5
4 13
5 19
6 15
7 5
8 102
9 2
10 35
11 5
12 60
13 74
14 189
15 103
16 110
17 107
18 35
19 31
20 45

About Fátima Al‐Shahrour

Fátima Al‐Shahrour is a scholar working on Hematology, Cancer Research and Genetics, having authored 100 papers that have together received 6.4k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (25 papers), Gene expression and cancer classification (21 papers) and Cancer Genomics and Diagnostics (17 papers). The work is most often cited by research in Hematology (1.5k citations), Genetics (1.2k citations) and Molecular Biology (3.9k citations). Fátima Al‐Shahrour has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Joaquı́n Dopazo, Ramón Díaz‐Uriarte, Pablo Mínguez, Benjamin L. Ebert, David Montaner, Lucía Conde, Juan M. Vaquerizas, Joaquín Tárraga, Eva Alloza and Ignacio Medina. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

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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