H. Ikram

649 citations
16 papers · 515 · h-index 9

Impact in

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

Papers in

    • Hepatitis B Virus Studies 14
    • Cytomegalovirus and herpesvirus research 3
    • Liver Disease Diagnosis and Treatment 2
    • Hepatitis C virus research 8
    • Hepatitis Viruses Studies and Epidemiology 2

H. Ikram

15 papers receiving 409 citations

Peers

H. Ikram
Comparison fields: 5 of 71
  • Hepatology 280
  • Epidemiology 371
  • Infectious Diseases 103
  • Immunology 64
  • Management of Technology and Innovation 20
Replace J. Wai-Kuo Shih with:
J. Wai-Kuo Shih United States
J. Åke Espmark Sweden
Klaus‐Hinrich Heermann Germany
E Ben‐Porath Israel
Emiko Takai Japan
L. F. Barker United States
Linda S. Richardson United States
HJ Alter United States
James Gallarda United States
F. Driss France
H. Ikram relative to J. Wai-Kuo Shih United States J. Wai-Kuo Shih's profile →
Citations per field
00.5×
J. Wai-Kuo Shih · 1×
Citations per year

Countries citing papers authored by H. Ikram

Since Specialization
Citations

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

Fields of papers citing papers by H. Ikram

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 1977128
2 1973128
3 198285
4 197554
5 197843
6 197516
7 198014
8 198311
9 19788
10 19737
11 19836
12
Cytomegalovirus infections in hemodialysis centers.
19815
13 19814
14 19774
15 19732
16 19750

About H. Ikram

H. Ikram is a scholar working on Epidemiology, Hepatology, Hematology, Infectious Diseases and Molecular Biology, having authored 16 papers that have together received 515 indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (14 papers), Hepatitis C virus research (8 papers), Cytomegalovirus and herpesvirus research (3 papers), Blood groups and transfusion (3 papers), Protein purification and stability (2 papers), Hepatitis Viruses Studies and Epidemiology (2 papers), Liver Disease Diagnosis and Treatment (2 papers) and SARS-CoV-2 and COVID-19 Research (1 paper). The work is most often cited by research in Hepatology (280 citations), Epidemiology (371 citations), Infectious Diseases (103 citations), Immunology (64 citations) and Management of Technology and Innovation (20 citations). H. Ikram has collaborated with scholars based in United States, Belgium and Israel. Frequent co-authors include A. M. Prince, Betsy Brotman, AlfredM. Prince, Thomas P. Hopp, W. Szmuness, Cladd E. Stevens, Edward J. Harley, R. Palmer Beasley, Jules L. Dienstag and Doris C. Wong. Their work appears in journals such as Vox Sanguinis, The Journal of Infectious Diseases, Cancer, Infection and Immunity and American Journal of Epidemiology.

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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