Mona El Khatib

507 total citations
9 papers, 418 citations indexed

About

Mona El Khatib is a scholar working on Molecular Biology, Surgery and Oncology. According to data from OpenAlex, Mona El Khatib has authored 9 papers receiving a total of 418 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Surgery and 3 papers in Oncology. Recurrent topics in Mona El Khatib's work include Pancreatic and Hepatic Oncology Research (3 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (3 papers) and Hedgehog Signaling Pathway Studies (3 papers). Mona El Khatib is often cited by papers focused on Pancreatic and Hepatic Oncology Research (3 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (3 papers) and Hedgehog Signaling Pathway Studies (3 papers). Mona El Khatib collaborates with scholars based in Germany, France and United States. Mona El Khatib's co-authors include Nisar P. Malek, Ruben R. Plentz, Vindhya Palagani, Przemyslaw Bozko, Ludwig Wilkens, Michael P. Manns, Uta Kossatz-Boehlert, Jan‐Henning Klusmann, Dirk Reinhardt and Stuart H. Orkin and has published in prestigious journals such as PLoS ONE, Hepatology and Carcinogenesis.

In The Last Decade

Mona El Khatib

9 papers receiving 416 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mona El Khatib Germany 8 249 135 118 110 61 9 418
Masafumi MURAI Japan 7 318 1.3× 106 0.8× 71 0.6× 40 0.4× 106 1.7× 19 430
Bong-Kyeong Oh South Korea 10 353 1.4× 88 0.7× 95 0.8× 36 0.3× 75 1.2× 14 543
Haiyan Dai China 11 232 0.9× 130 1.0× 75 0.6× 34 0.3× 27 0.4× 22 374
Zhehui Zhu China 8 165 0.7× 54 0.4× 86 0.7× 35 0.3× 54 0.9× 18 332
André Jefremow Germany 7 117 0.5× 60 0.4× 122 1.0× 47 0.4× 31 0.5× 12 329
Yoshihiro Umebayashi Japan 10 241 1.0× 49 0.4× 97 0.8× 31 0.3× 66 1.1× 33 425
Yonghe You China 14 428 1.7× 311 2.3× 132 1.1× 67 0.6× 35 0.6× 23 598
Yifei Mu China 14 228 0.9× 133 1.0× 140 1.2× 43 0.4× 30 0.5× 27 457
Katrien Swerts Belgium 13 210 0.8× 234 1.7× 152 1.3× 28 0.3× 25 0.4× 18 555
Mingtai Chen China 12 350 1.4× 290 2.1× 62 0.5× 32 0.3× 28 0.5× 23 511

Countries citing papers authored by Mona El Khatib

Since Specialization
Citations

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

Fields of papers citing papers by Mona El Khatib

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mona El Khatib. 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 Mona El Khatib. The network helps show where Mona El Khatib may publish in the future.

Co-authorship network of co-authors of Mona El Khatib

This figure shows the co-authorship network connecting the top 25 collaborators of Mona El Khatib. A scholar is included among the top collaborators of Mona El Khatib 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 Mona El Khatib. Mona El Khatib is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Bazin, Thomas, Lore Billiauws, Olivier Corcos, et al.. (2025). Prevalence and impact of sarcopenia in patients with inflammatory bowel diseases: A prospective cohort study. Clinics and Research in Hepatology and Gastroenterology. 49(4). 102555–102555. 1 indexed citations
2.
Palagani, Vindhya, Xi Chen, Mona El Khatib, et al.. (2014). Capsaicin Treatment Attenuates Cholangiocarcinoma Carcinogenesis. PLoS ONE. 9(4). e95605–e95605. 36 indexed citations
3.
Palagani, Vindhya, Przemyslaw Bozko, Mona El Khatib, et al.. (2013). Combined inhibition of Notch and JAK/STAT is superior to monotherapies and impairs pancreatic cancer progression. Carcinogenesis. 35(4). 859–866. 52 indexed citations
4.
Stankov, Metodi V., Mona El Khatib, Basant Kumar Thakur, et al.. (2013). Histone deacetylase inhibitors induce apoptosis in myeloid leukemia by suppressing autophagy. Leukemia. 28(3). 577–588. 101 indexed citations
5.
Khatib, Mona El, Przemyslaw Bozko, Vindhya Palagani, et al.. (2013). Activation of Notch Signaling Is Required for Cholangiocarcinoma Progression and Is Enhanced by Inactivation of p53 In Vivo. PLoS ONE. 8(10). e77433–e77433. 47 indexed citations
6.
Emmrich, Stephan, Mona El Khatib, C. Michel Zwaan, et al.. (2013). miR-9 is a tumor suppressor in pediatric AML with t(8;21). Leukemia. 28(5). 1022–1032. 72 indexed citations
7.
Palagani, Vindhya, Mona El Khatib, Till Krech, et al.. (2012). Decrease of CD44-positive cells correlates with tumor response to chemotherapy in patients with gastrointestinal cancer.. PubMed. 32(5). 1747–55. 10 indexed citations
8.
Khatib, Mona El, Vindhya Palagani, Uta Kossatz-Boehlert, et al.. (2012). Inhibition of hedgehog signaling attenuates carcinogenesis in vitro and increases necrosis of cholangiocellular carcinoma. Hepatology. 57(3). 1035–1045. 64 indexed citations
9.
Palagani, Vindhya, Mona El Khatib, Uta Kossatz-Boehlert, et al.. (2012). Epithelial Mesenchymal Transition and Pancreatic Tumor Initiating CD44+/EpCAM+ Cells Are Inhibited by γ-Secretase Inhibitor IX. PLoS ONE. 7(10). e46514–e46514. 35 indexed citations

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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