Aamer Ikram

4.2k citations
186 papers · 1.6k · h-index 20

Impact in

Papers in

    • SARS-CoV-2 and COVID-19 Research 35
    • Viral Infections and Vectors 23
    • Tuberculosis Research and Epidemiology 22
    • Viral Infections and Outbreaks Research 13
    • Mycobacterium research and diagnosis 16

Aamer Ikram

165 papers receiving 1.6k citations

Peers

Aamer Ikram
Comparison fields: 5 of 165
  • Applied Microbiology and Biotechnology 125
  • Molecular Medicine 185
  • Infectious Diseases 613
  • Modeling and Simulation 111
  • Endocrinology 109
Replace Mei Zeng with:
Mei Zeng China
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Avi Peretz Israel
Oğuz Karabay Türkiye
Aamer Ikram relative to Mei Zeng China Mei Zeng's profile →
Citations per field
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Citations per year

Countries citing papers authored by Aamer Ikram

Since Specialization
Citations

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

Fields of papers citing papers by Aamer Ikram

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 186 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017119
2 202163
3 202062
4 201947
5 201842
6 201839
7 202038
8 202135
9 202033
10 202131
11 202028
12 201327
13 202027
14 202126
15 202125
16
Antimicrobial susceptibility pattern of bacteria isolated from patients with urinary tract infection.
201424
17 201624
18 201122
19 202120
20 202119

About Aamer Ikram

Aamer Ikram is a scholar working on Infectious Diseases, Epidemiology, Public Health, Environmental and Occupational Health, Modeling and Simulation and Molecular Biology, having authored 186 papers that have together received 1.6k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (35 papers), Viral Infections and Vectors (23 papers), Tuberculosis Research and Epidemiology (22 papers), Mosquito-borne diseases and control (22 papers), COVID-19 epidemiological studies (21 papers), Mycobacterium research and diagnosis (16 papers), Antibiotic Resistance in Bacteria (14 papers) and Viral Infections and Outbreaks Research (13 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (125 citations), Molecular Medicine (185 citations), Infectious Diseases (613 citations), Modeling and Simulation (111 citations) and Endocrinology (109 citations). Aamer Ikram has collaborated with scholars based in Pakistan, United States and United Kingdom. Frequent co-authors include Muhammad Salman, Luqman Satti, Tanzeel Zohra, Muhammad Masroor Alam, Massab Umair, Gohar Zaman, Muhammad Salman, Jamil A Ansari, Irfan Ali Mirza and Parvez Ahmed. Their work appears in journals such as Journal of Medical Virology, JMIR Public Health and Surveillance, International Journal of Infectious Diseases, PLoS ONE and Frontiers in Public Health.

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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