Can Ünal

1.1k citations
33 papers · 937 · h-index 16

Impact in

    • Legionella and Acanthamoeba research
    • Escherichia coli research studies
    • Bacterial Infections and Vaccines

Papers in

Can Ünal

32 papers receiving 914 citations

Peers

Can Ünal
Comparison fields: 5 of 76
  • Endocrinology 244
  • Microbiology 120
  • Molecular Biology 303
  • Epidemiology 124
  • Immunology 74
Replace Brooke L. Deatherage with:
Brooke L. Deatherage United States
Franziska Agerer Germany
Pramod Kumar Rompikuntal Sweden
Audrey Chong United States
Greg Harris Canada
Ian Justin Glomski United States
Julie Guignot France
Daniel Yero Spain
Suat L. G. Cirillo United States
Slade A. Loutet Canada
Can Ünal relative to Brooke L. Deatherage United States Brooke L. Deatherage's profile →
Citations per field
00.5×2×2.6×
Brooke L. Deatherage · 1×
Citations per year

Countries citing papers authored by Can Ünal

Since Specialization
Citations

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

Fields of papers citing papers by Can Ünal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014145
2 2010114
3 201088
4 200682
5 201051
6 201849
7 201242
8 201741
9 201534
10 201628
11 201025
12 201425
13 201020
14 201820
15 201118
16 201516
17 200615
18 201115
19 202115
20 201414

About Can Ünal

Can Ünal is a scholar working on Endocrinology, Infectious Diseases, Cell Biology, Microbiology and Immunology, having authored 33 papers that have together received 937 indexed citations. Recurring topics across this work include Legionella and Acanthamoeba research (14 papers), Clostridium difficile and Clostridium perfringens research (5 papers), Signaling Pathways in Disease (3 papers), Cellular Mechanics and Interactions (3 papers), Bacterial Genetics and Biotechnology (3 papers), Pharmaceutical Economics and Policy (2 papers), Autophagy in Disease and Therapy (2 papers) and Slime Mold and Myxomycetes Research (2 papers). The work is most often cited by research in Endocrinology (244 citations), Microbiology (120 citations), Molecular Biology (303 citations), Epidemiology (124 citations) and Immunology (74 citations). Can Ünal has collaborated with scholars based in Germany, Türkiye and Sweden. Frequent co-authors include Michael Steinert, Kristian Riesbeck, Viveka Schaar, Ludwig Eichinger, Angelika Anna Noegel, Birendra Singh, Gunter S. Fischer, Jörg Hinrich Hacker, Budi Tunggal and Cohue Peña. Their work appears in journals such as Cellular Microbiology, International Journal of Medical Microbiology, Infection and Immunity, Frontiers in Microbiology and Scandinavian Journal of Infectious Diseases.

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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