M Bamber

456 citations
12 papers · 366 · h-index 9

Impact in

  • Hepatology top 5%
    • Hepatitis C virus research
    • Hepatitis Viruses Studies and Epidemiology
    • Liver Diseases and Immunity
    • Liver Disease and Transplantation
  • Epidemiology top 10%
    • Hepatitis B Virus Studies
    • Liver Disease Diagnosis and Treatment

Papers in

    • Hepatitis B Virus Studies 6
    • Liver Disease Diagnosis and Treatment 4
    • Hepatitis Viruses Studies and Epidemiology 3
    • Hepatitis C virus research 2

M Bamber

12 papers receiving 328 citations

Peers

M Bamber
Comparison fields: 5 of 43
  • Hepatology 246
  • Epidemiology 245
  • Infectious Diseases 78
  • Animal Science and Zoology 24
  • Pharmacology 18
Replace Luis Viola with:
Luis Viola Argentina
L. B. Seeff United States
M Ruíz-Moreno Spain
Sung Jl Taiwan
Henrique Sergio Coelho Brazil
Katsutaro Hirota Japan
J. Petersen Germany
Hiroki Nakasone Japan
Kunio Okuda Japan
Ernest Song South Africa
M Bamber relative to Luis Viola Argentina Luis Viola's profile →
Citations per field
00.5×
Luis Viola · 1×
Citations per year

Countries citing papers authored by M Bamber

Since Specialization
Citations

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

Fields of papers citing papers by M Bamber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 198270
2 198163
3 198156
4 198346
5 198335
6 198334
7 198320
8 198113
9 198313
10 19838
11
Short incubation non-A, non-B hepatitis transmitted by factor VIII concentrates in patients with congenital coagulation disorders: a preliminary report of an antigen/antibody system.
19816
12 19822

About M Bamber

M Bamber is a scholar working on Epidemiology, Hepatology, Hematology, Infectious Diseases and Genetics, having authored 12 papers that have together received 366 indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (6 papers), Liver Disease Diagnosis and Treatment (4 papers), Hemophilia Treatment and Research (3 papers), Hepatitis Viruses Studies and Epidemiology (3 papers), Viral gastroenteritis research and epidemiology (2 papers), Hepatitis C virus research (2 papers), Animal Virus Infections Studies (2 papers) and Chronic Myeloid Leukemia Treatments (1 paper). The work is most often cited by research in Hepatology (246 citations), Epidemiology (245 citations), Infectious Diseases (78 citations), Animal Science and Zoology (24 citations) and Pharmacology (18 citations). M Bamber has collaborated with scholars based in United Kingdom, Brazil and Australia. Frequent co-authors include Howard C. Thomas, Peter J. Scheuer, Sheila Sherlock, Alison D. Murray, Ian Weller, Peter Karayiannis, P. B. A. Kernoff, Manuel R. Teixeira, Sheila Sherlock and Bengt Arborgh. Their work appears in journals such as Journal of Medical Virology, Gut, Journal of Clinical Pathology, PubMed and BMJ.

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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