Mohamed A. Daw

1.6k citations
51 papers · 960 indexed · h-index 19
Topics
Hepatitis B Virus Studies (18 papers)Hepatitis C virus research (18 papers)Liver Disease Diagnosis and Treatment (12 papers)

In The Last Decade

Mohamed A. Daw

50 papers receiving 908 citations

Peers

Mohamed A. Daw
Comparison fields: 5 of 99
  • Epidemiology 459
  • Hepatology 367
  • Infectious Diseases 180
  • Surgery 128
  • General Health Professions 101
Replace Matthew J. Hepburn with:
Matthew J. Hepburn United States
Angela Bechini Italy
Anita Chakravarti India
Shuja Shafi United Kingdom
Techalew Shimelis Ethiopia
Christoph Hatz Switzerland
Anita K. M. Zaidi Pakistan
Sooria Balasegaram United Kingdom
Philipp Zanger Germany
Eileen M. Dunne Australia
Mohamed A. Daw relative to Matthew J. Hepburn United States Matthew J. Hepburn's profile →
Citations per field
00.5×1.5×2.3×
Matthew J. Hepburn · 1×
Citations per year

Countries citing papers authored by Mohamed A. Daw

Since Specialization
Citations

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

Fields of papers citing papers by Mohamed A. Daw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohamed A. Daw

This figure shows the co-authorship network connecting the top 25 collaborators of Mohamed A. Daw. A scholar is included among the top collaborators of Mohamed A. Daw 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 Mohamed A. Daw. Mohamed A. Daw 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
#WorkIndexed citations
1 2
2 2
3 37
4 9
5 18
6 14
7 7
8 29
9 16
10 18
11 9
12 9
13 17
14 23
15 21
16 21
17 28
18 34
19
Seroepidemiology of hepatitis B virus markers among hospital health care workers. Analysis of certain potential risk factors.
23
20 28

About Mohamed A. Daw

Mohamed A. Daw is a scholar working on Hepatology, Modeling and Simulation and Applied Microbiology and Biotechnology, having authored 51 papers that have together received 960 indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (18 papers), Hepatitis C virus research (18 papers) and Liver Disease Diagnosis and Treatment (12 papers). The work is most often cited by research in Hepatology (367 citations), Modeling and Simulation (63 citations) and Epidemiology (459 citations). Mohamed A. Daw has collaborated with scholars based in Libya, Ireland and United States. Frequent co-authors include Abdallah El-Bouzedi, Mohamed O. Ahmed, C. T. Keane, S. Beattie, Patrick Deegan, Colm O’Morain, Edward Leen, Conor T. Keane, S Sant and C O'Morain. Their work appears in journals such as PLoS ONE, Alimentary Pharmacology & Therapeutics and Journal of Hospital Infection.

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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