Hend Ibrahim Shousha

1.4k total citations
69 papers, 700 citations indexed

About

Hend Ibrahim Shousha is a scholar working on Epidemiology, Hepatology and Infectious Diseases. According to data from OpenAlex, Hend Ibrahim Shousha has authored 69 papers receiving a total of 700 indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Epidemiology, 47 papers in Hepatology and 8 papers in Infectious Diseases. Recurrent topics in Hend Ibrahim Shousha's work include Liver Disease Diagnosis and Treatment (47 papers), Hepatitis C virus research (25 papers) and Hepatocellular Carcinoma Treatment and Prognosis (24 papers). Hend Ibrahim Shousha is often cited by papers focused on Liver Disease Diagnosis and Treatment (47 papers), Hepatitis C virus research (25 papers) and Hepatocellular Carcinoma Treatment and Prognosis (24 papers). Hend Ibrahim Shousha collaborates with scholars based in Egypt, United States and Saudi Arabia. Hend Ibrahim Shousha's co-authors include Mohamed Nabil, Tamer Elbaz, Ashraf Omar Abdelaziz, Ahmed Abdelmaksoud, Dalia Omran, Mostafa M. Ibrahim, Eman M. Hassan, Mahasen Mabrouk, Eman Medhat and Wafaa Elakel and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Affective Disorders.

In The Last Decade

Hend Ibrahim Shousha

60 papers receiving 684 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hend Ibrahim Shousha Egypt 13 438 381 94 83 71 69 700
Dalia Omran Egypt 16 384 0.9× 389 1.0× 48 0.5× 134 1.6× 74 1.0× 73 779
Sören Weidemann Germany 12 182 0.4× 191 0.5× 87 0.9× 117 1.4× 88 1.2× 37 501
Hélène Regnault France 12 298 0.7× 182 0.5× 95 1.0× 48 0.6× 170 2.4× 26 683
Wenwen Zhang China 15 164 0.4× 126 0.3× 144 1.5× 88 1.1× 81 1.1× 51 624
Naglaa Zayed Egypt 15 428 1.0× 444 1.2× 40 0.4× 140 1.7× 45 0.6× 63 665
Arnolfo Petruzziello Italy 14 873 2.0× 816 2.1× 55 0.6× 162 2.0× 64 0.9× 24 1.2k
Mircea Grigorescu Romania 20 871 2.0× 1.0k 2.7× 200 2.1× 97 1.2× 72 1.0× 47 1.3k
Chikara Ogawa Japan 15 872 2.0× 431 1.1× 205 2.2× 181 2.2× 164 2.3× 50 1.2k
Maissa El Raziky Egypt 18 747 1.7× 721 1.9× 26 0.3× 75 0.9× 21 0.3× 60 902
Ashley Stueck Canada 13 466 1.1× 240 0.6× 255 2.7× 71 0.9× 144 2.0× 39 763

Countries citing papers authored by Hend Ibrahim Shousha

Since Specialization
Citations

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

Fields of papers citing papers by Hend Ibrahim Shousha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hend Ibrahim Shousha. 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 Hend Ibrahim Shousha. The network helps show where Hend Ibrahim Shousha may publish in the future.

Co-authorship network of co-authors of Hend Ibrahim Shousha

This figure shows the co-authorship network connecting the top 25 collaborators of Hend Ibrahim Shousha. A scholar is included among the top collaborators of Hend Ibrahim Shousha 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 Hend Ibrahim Shousha. Hend Ibrahim Shousha 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
1.
Shousha, Hend Ibrahim, et al.. (2025). Personalized treatment approaches in hepatocellular carcinoma. Arab Journal of Gastroenterology. 26(1). 122–128.
2.
El‐Kassas, Mohamed, et al.. (2025). Mapping cancer in Egypt: a model to predict future cancer situation using estimates from GLOBOCAN 2020. The Egyptian Journal of Internal Medicine. 37(1).
3.
Shousha, Hend Ibrahim, et al.. (2024). Portal vein tumor thrombosis in hepatocellular carcinoma patients: Is it the end?. Liver Research. 8(3). 141–151. 1 indexed citations
4.
5.
Dawood, Reham M., Hend Ibrahim Shousha, Mohamed Nabil, et al.. (2022). Seven gene signature explores the impact of DAAs on the appearance of hepatocellular carcinoma in HCV infected patients. Heliyon. 8(8). e10119–e10119. 2 indexed citations
6.
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Elshaarawy, Omar, et al.. (2022). Acoustic radiation force impulse to measure liver stiffness and predict hepatic decompensation in pregnancy with cirrhosis: A cohort study. Arab Journal of Gastroenterology. 23(2). 89–94. 1 indexed citations
8.
Shousha, Hend Ibrahim. (2022). Three regimens for re-treatment failure of Sofosbuvir-based therapy for chronic hepatitis-C genotype-4: a cohort study. Revista do Instituto de Medicina Tropical de São Paulo. 64. e50–e50. 1 indexed citations
9.
Abdelaziz, Ashraf Omar, Hend Ibrahim Shousha, Dalia Omran, et al.. (2022). Meta-learning algorithm development to predict outcomes in patients with hepatitis C virus-related hepatocellular carcinoma. Arab Journal of Gastroenterology. 23(4). 230–234.
10.
Abdalla, Mohamed, et al.. (2021). Role of circulating microRNA-21 and microRNA-215 in the diagnosis of hepatitis C related hepatocellular carcinoma. The Journal of Infection in Developing Countries. 15(7). 997–1003. 5 indexed citations
11.
Nabil, Mohamed, et al.. (2021). Changes in Serum Interferon Gamma and Interleukin-10 in Relation to Direct-Acting Antiviral Therapy of Chronic Hepatitis C Genotype 4: A Pilot Study. Journal of Clinical and Experimental Hepatology. 12(2). 428–434. 4 indexed citations
12.
Khorshied, Mervat M., et al.. (2020). Genetic variations in DNA‐repair genes (XRCC1, 3, and 7) and the susceptibility to hepatocellular carcinoma in a cohort of Egyptians. Journal of Medical Virology. 92(12). 3609–3616. 5 indexed citations
13.
Omran, Mohamed M., et al.. (2020). P53 is a risk factor of de-novo hepatitis C-related hepatocellular carcinoma treated with direct-acting antivirals: a case-control study. European Journal of Gastroenterology & Hepatology. 34(2). 220–226. 1 indexed citations
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16.
Shousha, Hend Ibrahim, et al.. (2017). Evaluation of trail receptor 1 (DR4) polymorphisms C626G and A683C as risk factors of hepatocellular carcinoma. Journal of Medical Virology. 90(3). 490–496. 5 indexed citations
17.
Aziz, Ashraf O. Abdel, Dalia Omran, Mohamed Nabil, et al.. (2016). Aggressive Treatment of Performance Status 1 and 2 HCC Patients Significantly Improves Survival - an Egyptian Retrospective Cohort Study of 524 Cases.. PubMed. 17(5). 2539–43. 2 indexed citations
18.
Abdelaziz, Ashraf Omar, Tamer Elbaz, Hend Ibrahim Shousha, et al.. (2014). Efficacy and survival analysis of percutaneous radiofrequency versus microwave ablation for hepatocellular carcinoma: an egyptian multidisciplinary clinic experience. Surgical Endoscopy. 28(12). 3429–3434. 104 indexed citations
19.
Abdelaziz, Ashraf Omar, Tamer Elbaz, Hend Ibrahim Shousha, et al.. (2014). Survival and Prognostic Factors for Hepatocellular Carcinoma: an Egyptian Multidisciplinary Clinic Experience. Asian Pacific Journal of Cancer Prevention. 15(9). 3915–3920. 38 indexed citations
20.
Zekri, Abdel‐Rahman N., Abeer A. Bahnassy, Waleed Mohamed, et al.. (2013). Dynamic interplay between CXCL levels in chronic Hepatitis C patients treated by Interferon. Virology Journal. 10(1). 218–218. 9 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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