M.A. Mahtab

2.9k citations
8 papers · 34 · h-index 5

Impact in

    • Hepatitis C virus research
    • Hepatitis Viruses Studies and Epidemiology
    • Hepatitis B Virus Studies
    • Liver Disease Diagnosis and Treatment
    • HIV, Drug Use, Sexual Risk

Papers in

    • Hepatitis B Virus Studies 4
    • Liver Disease Diagnosis and Treatment 3
    • Influenza Virus Research Studies 1
    • Hepatitis C virus research 3
    • Liver Disease and Transplantation 1

M.A. Mahtab

8 papers receiving 31 citations

Peers

M.A. Mahtab
Comparison fields: 5 of 24
  • Hepatology 18
  • Epidemiology 27
  • Modeling and Simulation 2
  • Molecular Medicine 2
  • Endocrinology 2
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Citations per field
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Citations per year

Countries citing papers authored by M.A. Mahtab

Since Specialization
Citations

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

Fields of papers citing papers by M.A. Mahtab

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside M.A. Mahtab, 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 M.A. Mahtab Line = papers co-authored together M.A. Mahtab links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 20139
2
Hepatitis B among pregnant women attending health care facilities in rural Bangladesh.
20116
3 20096
4
Prevalence and Risk Factors of Candida blood Stream Infections in a Tertiary Care Hospital
20155
5 20134
6
Liver Histopathological Features of HBeAg-Negative Chronic Hepatitis B in Young Bangladeshis
20092
7 20241
8 20121

About M.A. Mahtab

M.A. Mahtab is a scholar working on Epidemiology, Hepatology, Infectious Diseases, Clinical Psychology and Pharmacology, having authored 8 papers that have together received 34 indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (4 papers), Hepatitis C virus research (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Viral Infections and Outbreaks Research (2 papers), Liver Disease and Transplantation (1 paper), Antimicrobial Resistance in Staphylococcus (1 paper), Blood groups and transfusion (1 paper) and Influenza Virus Research Studies (1 paper). The work is most often cited by research in Hepatology (18 citations), Epidemiology (27 citations), Modeling and Simulation (2 citations), Molecular Medicine (2 citations) and Endocrinology (2 citations). M.A. Mahtab has collaborated with scholars based in Bangladesh, Japan and Thailand. Frequent co-authors include S. M. F. Akbar, Sabera Hossain, Sakirul Khan, Robert V. Gibbons, Haris M. Khan, Mohammad Arifur Rahman, Pratap Singhasivanon, Saranath Lawpoolsri, A. S. M. Alamgir and Fatima Khan. Their work appears in journals such as Journal of Hepatology, Rural and Remote Health, Hepatitis Monthly, Bangladesh Medical Research Council Bulletin and International Journal of Current Microbiology and Applied Sciences.

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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