Engin Kaptan

497 citations
32 papers · 373 · h-index 10

Impact in

Papers in

    • Glycosylation and Glycoproteins Research 6
    • Signaling Pathways in Disease 4
    • Galectins and Cancer Biology 7
    • Aquaculture disease management and microbiota 3

Engin Kaptan

31 papers receiving 368 citations

Peers

Engin Kaptan
Comparison fields: 5 of 88
  • Immunology 103
  • Pharmaceutical Science 22
  • Insect Science 41
  • Cell Biology 53
  • Molecular Biology 175
Replace María Gabriella Gabrielli with:
María Gabriella Gabrielli Italy
Robert G. Stafford United States
Shota Sakai Japan
C.H. Spilman United States
Cristina Carreño Spain
Xiaomei Yang China
Andreas Aufschnaiter Austria
Pei Fan China
Jun Ling United States
Jens Carlsen Denmark
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Citations per field
00.5×4.4×
María Gabriella Gabrielli · 1×
Citations per year

Countries citing papers authored by Engin Kaptan

Since Specialization
Citations

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

Fields of papers citing papers by Engin Kaptan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201383
2 201782
3 201927
4 201521
5 201821
6 202119
7 200814
8 201213
9 201812
10 201710
11
Galectin-3: a potential target for cancer prevention.
20119
12 20159
13 20107
14 20106
15 20185
16 20214
17 20144
18 20093
19 20133
20 20133

About Engin Kaptan

Engin Kaptan is a scholar working on Molecular Biology, Immunology, Microbiology, Organic Chemistry and Cellular and Molecular Neuroscience, having authored 32 papers that have together received 373 indexed citations. Recurring topics across this work include Galectins and Cancer Biology (7 papers), Glycosylation and Glycoproteins Research (6 papers), Antimicrobial Peptides and Activities (5 papers), Signaling Pathways in Disease (4 papers), Aquaculture disease management and microbiota (3 papers), Amphibian and Reptile Biology (3 papers), Hypothalamic control of reproductive hormones (2 papers) and Circadian rhythm and melatonin (2 papers). The work is most often cited by research in Immunology (103 citations), Pharmaceutical Science (22 citations), Insect Science (41 citations), Cell Biology (53 citations) and Molecular Biology (175 citations). Engin Kaptan has collaborated with scholars based in Türkiye, United States and Spain. Frequent co-authors include Hafiz Ahmed, Prasun Guha, Dhananjaya V. Kalvakolanu, Padmaja Gade, Şehnaz Bolkent, Alper Okyar, Keyata N. Thompson, Gerardo R. Vasta, Eduardo Dávila and Stuart S. Martin. Their work appears in journals such as Journal of Cellular Biochemistry, Cell Biochemistry and Function, Molecular Biology Reports, Toxicology and Industrial Health and Bioscience Reports.

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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