Fathi Elloumi

3.4k citations
29 papers · 1.1k indexed · h-index 16

Impact in

    • Cancer Genomics and Diagnostics
  • Oncology top 10%
    • Lung Cancer Research Studies
    • Cancer Cells and Metastasis
    • PARP inhibition in cancer therapy

Papers in

    • Cancer Genomics and Diagnostics 12
    • Lung Cancer Research Studies 4
    • Cancer Cells and Metastasis 3
    • PARP inhibition in cancer therapy 3

Fathi Elloumi

26 papers receiving 1.1k citations

Peers

Fathi Elloumi
Comparison fields: 5 of 115
  • Cancer Research 312
  • Oncology 403
  • Computational Theory and Mathematics 201
  • Molecular Biology 603
  • Chemical Health and Safety 5
Replace James P. Sluka with:
James P. Sluka United States
Marc Hafner United States
Mirra Chung United States
Noriyuki Nakatsu Japan
Jin Y. Jin United States
Nehmé El-Hachem Canada
Isidro Cortés‐Ciriano United Kingdom
Roderick T. Bunch United States
Christina Lohmann United States
Rebecca B. Riggins United States
Fathi Elloumi relative to James P. Sluka United States James P. Sluka's profile →
Citations per field
00.5×3.9×
James P. Sluka · 1×
Citations per year

Countries citing papers authored by Fathi Elloumi

Since Specialization
Citations

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

Fields of papers citing papers by Fathi Elloumi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20251
3 20250
4 20242
5 202312
6 202214
7 202175
8 202119
9 2020119
10 202092
11 20204
12 202020
13 201952
14 2018108
15 201769
16 201113
17 201169
18 201090
19 200857
20 2008147

About Fathi Elloumi

Fathi Elloumi is a scholar working on Cancer Research, Oncology, Computational Theory and Mathematics, Toxicology and Molecular Biology, having authored 29 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (12 papers), Computational Drug Discovery Methods (5 papers), Lung Cancer Research Studies (4 papers), Bioinformatics and Genomic Networks (3 papers), Cancer Cells and Metastasis (3 papers), PARP inhibition in cancer therapy (3 papers), Gene expression and cancer classification (3 papers) and DNA Repair Mechanisms (2 papers). The work is most often cited by research in Cancer Research (312 citations), Oncology (403 citations), Computational Theory and Mathematics (201 citations), Molecular Biology (603 citations) and Chemical Health and Safety (5 citations). Fathi Elloumi has collaborated with scholars based in United States, France and Japan. Frequent co-authors include Yves Pommier, William C. Reinhold, Vinodh N. Rajapakse, Richard Judson, Sudhir Varma, Augustin Luna, Mirit I. Aladjem, Melissa A. Troester, Anish Thomas and Noureddine Boudriga. Their work appears in journals such as Cancer Research, iScience, Molecular Cancer Therapeutics, BMC Medical Genomics and Journal of Oncology.

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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