Mahmoud Al-Ahwal

475 total citations
25 papers, 313 citations indexed

About

Mahmoud Al-Ahwal is a scholar working on Oncology, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Mahmoud Al-Ahwal has authored 25 papers receiving a total of 313 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Oncology, 10 papers in Molecular Biology and 8 papers in Pathology and Forensic Medicine. Recurrent topics in Mahmoud Al-Ahwal's work include Genetic factors in colorectal cancer (6 papers), Cancer-related Molecular Pathways (3 papers) and Colorectal Cancer Treatments and Studies (3 papers). Mahmoud Al-Ahwal is often cited by papers focused on Genetic factors in colorectal cancer (6 papers), Cancer-related Molecular Pathways (3 papers) and Colorectal Cancer Treatments and Studies (3 papers). Mahmoud Al-Ahwal collaborates with scholars based in Saudi Arabia, Egypt and Finland. Mahmoud Al-Ahwal's co-authors include Jaudah Al‐Maghrabi, Abdelbaset Buhmeida, Wafaey Gomaa, Mohammed Al‐Qahtani, Alan Shenkin, Ibrahim A. Hashim, Abdulaziz H. Alzeer, Adel Abuzenadah, Abdul Ali Peer‐Zada and Ibrahim H. Kamal and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Neurobiology of Aging.

In The Last Decade

Mahmoud Al-Ahwal

24 papers receiving 307 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mahmoud Al-Ahwal Saudi Arabia 11 127 89 61 56 41 25 313
Leanne Goldstein United States 13 104 0.8× 72 0.8× 38 0.6× 27 0.5× 50 1.2× 21 320
Preya Ananthakrishnan United States 9 147 1.2× 57 0.6× 105 1.7× 45 0.8× 44 1.1× 15 401
Ingolf Juhasz-Böess Germany 12 96 0.8× 87 1.0× 39 0.6× 21 0.4× 27 0.7× 28 397
Chen Di Liao China 12 131 1.0× 146 1.6× 73 1.2× 28 0.5× 43 1.0× 21 384
Lena Succar Australia 9 50 0.4× 173 1.9× 43 0.7× 29 0.5× 45 1.1× 11 362
Chen‐Chi Liu Taiwan 10 119 0.9× 191 2.1× 97 1.6× 19 0.3× 97 2.4× 15 399
Yasutaka Watanabe Japan 10 115 0.9× 104 1.2× 32 0.5× 25 0.4× 159 3.9× 39 376
José R. Borbolla‐Escoboza Mexico 12 109 0.9× 53 0.6× 33 0.5× 72 1.3× 80 2.0× 18 386
Laura Scaltriti Italy 8 225 1.8× 79 0.9× 60 1.0× 37 0.7× 77 1.9× 10 456
Samar Marzouk Egypt 11 28 0.2× 116 1.3× 58 1.0× 43 0.8× 22 0.5× 21 355

Countries citing papers authored by Mahmoud Al-Ahwal

Since Specialization
Citations

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

Fields of papers citing papers by Mahmoud Al-Ahwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mahmoud Al-Ahwal. 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 Mahmoud Al-Ahwal. The network helps show where Mahmoud Al-Ahwal may publish in the future.

Co-authorship network of co-authors of Mahmoud Al-Ahwal

This figure shows the co-authorship network connecting the top 25 collaborators of Mahmoud Al-Ahwal. A scholar is included among the top collaborators of Mahmoud Al-Ahwal 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 Mahmoud Al-Ahwal. Mahmoud Al-Ahwal 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.
Devol, Edward, et al.. (2022). Population-based survival for cancer patients in Saudi Arabia for the years 2005–2009. Scientific Reports. 12(1). 235–235. 9 indexed citations
2.
Assidi, Mourad, Wafaey Gomaa, Mohammad Jafri, et al.. (2019). Prognostic value of Osteopontin (SPP1) in colorectal carcinoma requires a personalized molecular approach. Tumor Biology. 41(9). 2903741259–2903741259. 21 indexed citations
3.
Buhmeida, Abdelbaset, Mourad Assidi, Jaudah Al‐Maghrabi, et al.. (2018). Membranous or Cytoplasmic HER2 Expression in Colorectal Carcinoma: Evaluation of Prognostic Value Using Both IHC & BDISH. Cancer Investigation. 36(2). 129–140. 6 indexed citations
4.
Al‐Maghrabi, Jaudah, et al.. (2018). Loss of p27 expression in endometrial carcinoma patients with recurrent tumor is significantly associated with poor survival. European Journal of Gynaecological Oncology. 39(1). 119–123. 4 indexed citations
5.
Gomaa, Wafaey, et al.. (2017). Villin immunohistochemical expression in endometrial carcinoma. European Journal of Gynaecological Oncology. 38(4). 560–563.
6.
Gomaa, Wafaey, et al.. (2017). Expression of clusterin in colorectal carcinoma in relation to clinicopathological criteria.. PubMed. 39(3). 243–250. 3 indexed citations
7.
Al‐Maghrabi, Jaudah, et al.. (2016). p16 protein is upregulated in a stepwise fashion in colorectal adenoma and colorectal carcinoma. Saudi Journal of Gastroenterology. 22(6). 435–435. 10 indexed citations
8.
Al‐Maghrabi, Jaudah, et al.. (2015). Immunoexpression of cyclin D1 in colorectal carcinomas is not correlated with survival outcome. Journal of Microscopy and Ultrastructure. 3(2). 62–67. 8 indexed citations
9.
Al‐Maghrabi, Jaudah, et al.. (2015). The significance of sonic hedgehog immunohistochemical expression in colorectal carcinoma. Journal of Microscopy and Ultrastructure. 3(4). 169–169. 8 indexed citations
10.
Hassanien, Mohammed, et al.. (2015). Breast Cancer Knowledge Among Male High School Students in Saudi Arabia. Journal of Cancer Education. 31(4). 784–788. 13 indexed citations
11.
Al‐Maghrabi, Jaudah, et al.. (2015). c-MET immunostaining in colorectal carcinoma is associated with local disease recurrence. BMC Cancer. 15(1). 676–676. 48 indexed citations
12.
Al‐Maghrabi, Jaudah, Wafaey Gomaa, Abdelbaset Buhmeida, et al.. (2015). Overexpression of PAK-1 is an independent predictor of disease recurrence in colorectal carcinoma.. PubMed. 8(12). 15895–902. 12 indexed citations
13.
Gari, Mamdooh, Shilu Mathew, Jaudah Al‐Maghrabi, et al.. (2014). Cell adhesion molecules have prognostic potential in colorectal carcinoma. BMC Genomics. 15(S2). 2 indexed citations
14.
Al‐Maghrabi, Jaudah, et al.. (2014). Prognostic significance of VEGFR1/Flt-1 immunoexpression in colorectal carcinoma. Tumor Biology. 35(9). 9045–9051. 10 indexed citations
15.
Bokhari, Rakan, et al.. (2013). Primary Isolated Lymphoma of the Fourth Ventricle in an Immunocompetent Patient. SHILAP Revista de lepidopterología. 2013. 1–4. 11 indexed citations
16.
Boutajangout, Allal, et al.. (2013). Immunotherapy Targeting Tau and Amyloid Aβ Pathology in AD Animal Models. Neurobiology of Aging. 35(3). 721–721. 2 indexed citations
17.
Al‐Maghrabi, Jaudah, et al.. (2012). Decreased immunoexpression of standard form of CD44 is an independent favourable predictor of nodal metastasis in colorectal carcinoma.. PubMed. 32(8). 3455–61. 14 indexed citations
18.
Al‐Maghrabi, Jaudah, et al.. (2011). Expression of Cell Cycle Regulators P21 and P27 as Predictors of Disease Outcome in Colorectal Carcinoma. Journal of Gastrointestinal Cancer. 43(2). 279–287. 22 indexed citations
19.
Al-Ahwal, Mahmoud. (2005). Health Related Quality of Life Assessment of Cancer Patients during Chemotherapy / Radiotherapy among Saudi Population. Journal of King Abdulaziz University-Medical Sciences. 12(1). 21–31. 2 indexed citations
20.
Hashim, Ibrahim A., et al.. (1997). Cytokine changes in patients with heatstroke during pilgrimage to Makkah. Mediators of Inflammation. 6(2). 135–139. 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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