İmran Hasanoğlu

3.1k citations
63 papers · 1.1k indexed · 1 hit paper · h-index 13
Topics
COVID-19 Clinical Research Studies (16 papers)Viral Infections and Vectors (8 papers)Antibiotic Use and Resistance (7 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEHepatology

In The Last Decade

İmran Hasanoğlu

53 papers receiving 1.1k citations

Hit Papers

COVID-19: Prevention and control measures in community20202026202220242020100200300400

Peers

İmran Hasanoğlu
Comparison fields: 5 of 138
  • Infectious Diseases 512
  • Clinical Psychology 208
  • Neurology 187
  • Modeling and Simulation 145
  • Epidemiology 130
Replace Chih-Cheng Lai with:
Chih-Cheng Lai Taiwan
Van Thuan Hoang Vietnam
Rahmet Güner Türkiye
George M. Bwire Tanzania
Zinatul Hayati Indonesia
Manaf AlQahtani Bahrain
Muhammad Junaid Tahir Pakistan
Faryal Khamis Oman
Sanjat Kanjilal United States
Fernando Augusto Lima Marson Brazil
İmran Hasanoğlu relative to Chih-Cheng Lai Taiwan Chih-Cheng Lai's profile →
Citations per field
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Chih-Cheng Lai · 1×
Citations per year

Countries citing papers authored by İmran Hasanoğlu

Since Specialization
Citations

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

Fields of papers citing papers by İmran Hasanoğlu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of İmran Hasanoğlu

This figure shows the co-authorship network connecting the top 25 collaborators of İmran Hasanoğlu. A scholar is included among the top collaborators of İmran Hasanoğlu 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 İmran Hasanoğlu. İmran Hasanoğlu 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 0
2 0
3 0
4 0
5 1
6 0
7 1
8 5
9 6
10 12
11 4
12 7
13 73
14 2
15 29
16
Eid al-Adha Associated Infections: Three Case Reports
1
17 26
18 5
19 17
20
Epidemiologic, Clinical and Laboratory Features of Pandemic Influenza (H1N1) 2009 Virus Infection
1

About İmran Hasanoğlu

İmran Hasanoğlu is a scholar working on Applied Microbiology and Biotechnology, Infectious Diseases and Molecular Medicine, having authored 63 papers that have together received 1.1k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (16 papers), Viral Infections and Vectors (8 papers) and Antibiotic Use and Resistance (7 papers). The work is most often cited by research in Modeling and Simulation (145 citations), Applied Microbiology and Biotechnology (56 citations) and Infectious Diseases (512 citations). İmran Hasanoğlu has collaborated with scholars based in Türkiye, United Kingdom and United States. Frequent co-authors include Rahmet Güner, Firdevs Aktaş, Ayşe Kaya Kalem, Fatma Eser, Bircan Kayaaslan, Mehmet A. Taşyaran, Gülay Korukluoğlu, Esragül Akıncı, Şiran Keske and Deniz Erdem. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Hepatology.

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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