Macit İlkit

6.4k total citations · 1 hit paper
171 papers, 3.8k citations indexed

About

Macit İlkit is a scholar working on Epidemiology, Infectious Diseases and Cell Biology. According to data from OpenAlex, Macit İlkit has authored 171 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 134 papers in Epidemiology, 80 papers in Infectious Diseases and 79 papers in Cell Biology. Recurrent topics in Macit İlkit's work include Fungal Infections and Studies (98 papers), Nail Diseases and Treatments (82 papers) and Antifungal resistance and susceptibility (80 papers). Macit İlkit is often cited by papers focused on Fungal Infections and Studies (98 papers), Nail Diseases and Treatments (82 papers) and Antifungal resistance and susceptibility (80 papers). Macit İlkit collaborates with scholars based in Türkiye, Netherlands and United States. Macit İlkit's co-authors include Murat Durdu, Ahmet Barış Güzel, Amir Arastehfar, Sybren de Hoog, Aylin Döğen, Farnaz Daneshnia, Cornelia Lass‐Flörl, Mohammad Taghi Hedayati, Gabriele Ginter‐Hanselmayer and Josef Smolle and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Genetics.

In The Last Decade

Macit İlkit

163 papers receiving 3.7k citations

Hit Papers

Worldwide emergence of fluconazole-resistant Candida para... 2023 2026 2024 2025 2023 40 80 120

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Macit İlkit Türkiye 34 2.6k 1.8k 1.2k 404 395 171 3.8k
Mohammad Taghi Hedayati Iran 26 1.3k 0.5× 1.6k 0.8× 824 0.7× 698 1.7× 376 1.0× 171 3.1k
Hossein Mirhendi Iran 32 2.1k 0.8× 1.4k 0.8× 1.2k 1.0× 414 1.0× 304 0.8× 146 3.4k
E. G. V. Evans United Kingdom 33 2.2k 0.9× 1.2k 0.7× 1.1k 0.9× 363 0.9× 321 0.8× 97 3.4k
Hamid Badali Iran 40 2.9k 1.1× 3.0k 1.6× 1.7k 1.4× 868 2.1× 567 1.4× 213 5.0k
Seyedmojtaba Seyedmousavi Iran 30 1.5k 0.6× 1.5k 0.8× 796 0.6× 430 1.1× 270 0.7× 102 2.7k
Nongnuch Vanittanakom Thailand 31 1.7k 0.6× 1.5k 0.8× 659 0.5× 1.0k 2.5× 1.3k 3.3× 82 3.8k
Riina Rautemaa‐Richardson United Kingdom 26 1.7k 0.7× 2.2k 1.2× 260 0.2× 239 0.6× 445 1.1× 83 3.2k
Antonio Rezusta Spain 31 905 0.3× 969 0.5× 366 0.3× 149 0.4× 536 1.4× 121 2.7k
Françoise Botterel France 34 2.0k 0.8× 2.4k 1.3× 445 0.4× 329 0.8× 302 0.8× 161 3.6k
Alex van Belkum Netherlands 32 1.8k 0.7× 1.4k 0.8× 258 0.2× 146 0.4× 777 2.0× 67 3.7k

Countries citing papers authored by Macit İlkit

Since Specialization
Citations

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

Fields of papers citing papers by Macit İlkit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Macit İlkit

This figure shows the co-authorship network connecting the top 25 collaborators of Macit İlkit. A scholar is included among the top collaborators of Macit İlkit 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 Macit İlkit. Macit İlkit 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
2.
Kaplan, Engin, et al.. (2025). qPCR-Based Molecular Detection of Trichophyton indotineae by Targeting Divergent Sequences. Mycopathologia. 190(2). 32–32. 1 indexed citations
3.
Spruijtenburg, Bram, Asuman Bırıncı, Ramazan Gümral, et al.. (2025). Retrospective Multicenter Study on Invasive Candidiasis in Türkiye Demonstrates High Genetic Variety of Candida tropicalis. Mycopathologia. 191(1). 2–2.
4.
Spruijtenburg, Bram, Eelco F. J. Meijer, Süleyha Hilmioğlu Polat, et al.. (2024). Molecular typing and antifungal susceptibility profile of Candida krusei bloodstream isolates from Türkiye. Medical Mycology. 62(2). 5 indexed citations
5.
Özhak, Betil, Gözde Öngüt, Soner Uzun, et al.. (2024). Molecular Detection of Dermatophytes and Nondermatophytes in Onychomycosis in Antalya, Turkey. Clinical Laboratory. 70(06/2024).
6.
Kandemir, Hazal, Cony Decock, Margarita Hernández‐Restrepo, et al.. (2024). 200 years of taxonomic confusion: Sporendonema and allies. Antonie van Leeuwenhoek. 117(1). 53–53.
7.
Durdu, Murat, et al.. (2023). First Terbinafine-Resistant Trichophyton indotineae Isolates with Phe397Leu and/or Thr414His Mutations in Turkey. Mycopathologia. 188(3). 295–304. 35 indexed citations
8.
Metin, Banu, Bram Spruijtenburg, Ramazan Gümral, et al.. (2023). Opportunistic yeasts on stored apples: A One Health perspective. 1(1). 4–13. 3 indexed citations
9.
Ergin, Çağrı, et al.. (2022). Effectiveness of FastFung agar in the isolation of Malassezia furfur from skin samples. Mycoses. 65(7). 704–708. 6 indexed citations
10.
Ahangarkani, Fatemeh, Macit İlkit, Kamiar Zomorodian, et al.. (2021). MALDI‐TOF MS characterisation, genetic diversity and antifungal susceptibility of Trichosporon species from Iranian clinical samples. Mycoses. 64(8). 918–925. 7 indexed citations
11.
Ahangarkani, Fatemeh, Tahereh Shokohi, Mohammad Sadegh Rezai, et al.. (2020). Epidemiological features of nosocomial candidaemia in neonates, infants and children: A multicentre study in Iran. Mycoses. 63(4). 382–394. 38 indexed citations
12.
Arastehfar, Amir, Farnaz Daneshnia, Mohammadreza Salehi, et al.. (2020). Low level of antifungal resistance of Candida glabrata blood isolates in Turkey: Fluconazole minimum inhibitory concentration and FKS mutations can predict therapeutic failure. Mycoses. 63(9). 911–920. 36 indexed citations
13.
Kaplan, Engin, Deniz F. Aktas, Banu Metin, et al.. (2019). Mating genotypes and susceptibility profiles of clinical isolates of Candida glabrata from Turkey. Mycoses. 62(9). 796–802. 1 indexed citations
14.
Su, Huilin, Ann Packeu, Sarah Ahmed, et al.. (2019). Species Distinction in the Trichophyton rubrum Complex. Journal of Clinical Microbiology. 57(9). 35 indexed citations
15.
Durdu, Murat, Hazal Kandemir, Macit İlkit, & Sybren de Hoog. (2019). Changing Concepts and Current Definition of Majocchi’s Granuloma. Mycopathologia. 185(1). 187–192. 10 indexed citations
16.
Kandemir, Hazal, Karolina Dukik, Ferry Hagen, et al.. (2019). Polyphasic Discrimination of Trichophyton tonsurans and T. equinum from Humans and Horses. Mycopathologia. 185(1). 113–122. 22 indexed citations
17.
Persinoti, Gabriela Félix, Diego Martinez, Wen‐Jun Li, et al.. (2018). Whole-Genome Analysis Illustrates Global Clonal Population Structure of the Ubiquitous Dermatophyte Pathogen Trichophyton rubrum. Genetics. 208(4). 1657–1669. 43 indexed citations
18.
Gümral, Ramazan, Betil Özhak, Mehmet Ali Saraçlı, et al.. (2015). Dishwashers provide a selective extreme environment for human-opportunistic yeast-like fungi. Fungal Diversity. 76(1). 1–9. 52 indexed citations
19.
Seyedmousavi, Seyedmojtaba, Macit İlkit, Murat Durdu, et al.. (2015). Candida ve Kandidoz: Epidemiyoloji, Tanı, Tedavi, Antifungal İlaç Direnci ve Konağın Genetik Yatkınlığında Güncel Durum. Türk Mikrobiyoloji Cemiyeti Dergisi. 2 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026