Mohamed Akoad

602 citations
19 papers · 432 · h-index 9

Impact in

  • Hepatology top 5%
    • Liver Disease and Transplantation
    • Hepatocellular Carcinoma Treatment and Prognosis
    • Renal Transplantation Outcomes and Treatments

Papers in

    • Organ Transplantation Techniques and Outcomes 8
    • Cholangiocarcinoma and Gallbladder Cancer Studies 3
    • Liver Disease and Transplantation 6
    • Hepatocellular Carcinoma Treatment and Prognosis 4

Mohamed Akoad

19 papers receiving 424 citations

Peers

Mohamed Akoad
Comparison fields: 5 of 56
  • Hepatology 200
  • Transplantation 62
  • Surgery 239
  • Epidemiology 143
  • Hematology 23
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Mohamed Akoad relative to Paola Carrai Italy Paola Carrai's profile →
Citations per field
00.5×1.5×
Paola Carrai · 1×
Citations per year

Countries citing papers authored by Mohamed Akoad

Since Specialization
Citations

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

Fields of papers citing papers by Mohamed Akoad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 199882
2 200981
3 201568
4 200846
5 200740
6 201835
7 201123
8 200817
9 200711
10 20227
11 20245
12 20075
13 20113
14 20063
15 20022
16 20171
17 20171
18 20171
19 20251

About Mohamed Akoad

Mohamed Akoad is a scholar working on Surgery, Hepatology, Transplantation, Pulmonary and Respiratory Medicine and Epidemiology, having authored 19 papers that have together received 432 indexed citations. Recurring topics across this work include Organ Transplantation Techniques and Outcomes (8 papers), Liver Disease and Transplantation (6 papers), Hepatocellular Carcinoma Treatment and Prognosis (4 papers), Renal Transplantation Outcomes and Treatments (4 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (3 papers), Gallbladder and Bile Duct Disorders (3 papers), Liver Disease Diagnosis and Treatment (2 papers) and Clostridium difficile and Clostridium perfringens research (2 papers). The work is most often cited by research in Hepatology (200 citations), Transplantation (62 citations), Surgery (239 citations), Epidemiology (143 citations) and Hematology (23 citations). Mohamed Akoad has collaborated with scholars based in United States, Sudan and South Korea. Frequent co-authors include Elizabeth A. Pomfret, Roger L. Jenkins, Thomas V. Cacciarelli, Moro O. Salifu, Anna Babińska, Yigal H. Ehrlich, Mariana Markell, Elizabeth Kornecki, Khalid Khwaja and W. David Lewis. Their work appears in journals such as Liver Transplantation, Clinical Transplantation, American Journal of Transplantation, Clinics in Liver Disease and HPB.

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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