Emi Dika

4.4k citations
197 papers · 2.1k indexed · h-index 25

Impact in

  • Dermatology top 0.5%
    • Cutaneous lymphoproliferative disorders research
    • Cancer and Skin Lesions
    • Skin Protection and Aging
  • Oncology top 5%
    • Cutaneous Melanoma Detection and Management

Papers in

    • Cutaneous lymphoproliferative disorders research 40
    • Cancer and Skin Lesions 28
    • Cutaneous Melanoma Detection and Management 82

Emi Dika

168 papers receiving 2.1k citations

Peers

Emi Dika
Comparison fields: 5 of 117
  • Dermatology 814
  • Oncology 748
  • Epidemiology 725
  • Molecular Medicine 82
  • Small Animals 108
Replace M.‐T. Leccia with:
M.‐T. Leccia France
Anders Bredberg Sweden
François‐Xavier Bernard France
Mohamed Hassan Germany
Jerry L. McCullough United States
Jun‐Ki Min South Korea
Britta Eiz‐Vesper Germany
Markus Seifert Austria
Yuan‐Ping Han China
Christian D. Sadik Germany
Emi Dika relative to M.‐T. Leccia France M.‐T. Leccia's profile →
Citations per field
00.5×10.3×
M.‐T. Leccia · 1×
Citations per year

Countries citing papers authored by Emi Dika

Since Specialization
Citations

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

Fields of papers citing papers by Emi Dika

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 197 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019170
2 2020113
3 201467
4 202151
5 201950
6 201543
7 201143
8 201741
9 202139
10 200738
11 202038
12 201537
13 201036
14 201536
15 201634
16 201734
17 201233
18 201630
19 201528
20 202028

About Emi Dika

Emi Dika is a scholar working on Dermatology, Oncology, Epidemiology, Small Animals and Cancer Research, having authored 197 papers that have together received 2.1k indexed citations. Recurring topics across this work include Cutaneous Melanoma Detection and Management (82 papers), Nonmelanoma Skin Cancer Studies (57 papers), Cutaneous lymphoproliferative disorders research (40 papers), Nail Diseases and Treatments (28 papers), Cancer and Skin Lesions (28 papers), Melanoma and MAPK Pathways (26 papers), Hedgehog Signaling Pathway Studies (12 papers) and Infectious Diseases and Mycology (11 papers). The work is most often cited by research in Dermatology (814 citations), Oncology (748 citations), Epidemiology (725 citations), Molecular Medicine (82 citations) and Small Animals (108 citations). Emi Dika has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Annalisa Patrizi, Píer Alessandro Fanti, Bianca Maria Piraccini, Martina Lambertini, Elena Campione, Manuela Ferracin, Cosimo Misciali, Luca Bianchi, Giulia Veronesi and Michela Starace. Their work appears in journals such as Journal of the European Academy of Dermatology and Venereology, Cancers, European Journal of Dermatology, Dermatologic Surgery and Dermatology.

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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