Peiying Feng

1.6k total citations
47 papers, 962 citations indexed

About

Peiying Feng is a scholar working on Epidemiology, Cell Biology and Infectious Diseases. According to data from OpenAlex, Peiying Feng has authored 47 papers receiving a total of 962 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Epidemiology, 23 papers in Cell Biology and 11 papers in Infectious Diseases. Recurrent topics in Peiying Feng's work include Fungal Infections and Studies (25 papers), Plant Pathogens and Fungal Diseases (22 papers) and Nail Diseases and Treatments (11 papers). Peiying Feng is often cited by papers focused on Fungal Infections and Studies (25 papers), Plant Pathogens and Fungal Diseases (22 papers) and Nail Diseases and Treatments (11 papers). Peiying Feng collaborates with scholars based in China, Netherlands and Brazil. Peiying Feng's co-authors include Sybren de Hoog, Mohammad Javad Najafzadeh, Liyan Xi, Anderson Messias Rodrigues, A. H. G. Gerrits van den Ende, Vânia Aparecida Vicente, Jiufeng Sun, J. Benjamin Stielow, Sarah Ahmed and Karolina Dukik and has published in prestigious journals such as PLoS ONE, Journal of Allergy and Clinical Immunology and Journal of Clinical Microbiology.

In The Last Decade

Peiying Feng

46 papers receiving 940 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peiying Feng China 17 606 484 396 282 118 47 962
Sirida Youngchim Thailand 20 697 1.2× 397 0.8× 559 1.4× 251 0.9× 121 1.0× 49 1.1k
Consuelo Ferrer Spain 14 266 0.4× 214 0.4× 274 0.7× 100 0.4× 52 0.4× 26 779
Elisabeth Maria Heins‐Vaccari Brazil 15 584 1.0× 305 0.6× 377 1.0× 205 0.7× 113 1.0× 30 829
Natteewan Poonwan Thailand 15 685 1.1× 261 0.5× 485 1.2× 258 0.9× 196 1.7× 21 973
P G Standard United States 19 775 1.3× 393 0.8× 485 1.2× 268 1.0× 289 2.4× 45 1.1k
Márcia Lazéra Brazil 19 1.3k 2.1× 445 0.9× 888 2.2× 322 1.1× 51 0.4× 35 1.5k
Sirlei Garcia Marques Brazil 16 331 0.5× 192 0.4× 236 0.6× 77 0.3× 54 0.5× 38 582
Mehmet Ali Saraçlı Türkiye 16 344 0.6× 181 0.4× 223 0.6× 58 0.2× 24 0.2× 36 550
A. A. Padhye United States 20 695 1.1× 378 0.8× 568 1.4× 232 0.8× 566 4.8× 50 1.2k
Victoria E. Sepúlveda United States 12 405 0.7× 198 0.4× 218 0.6× 197 0.7× 14 0.1× 23 830

Countries citing papers authored by Peiying Feng

Since Specialization
Citations

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

Fields of papers citing papers by Peiying Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peiying Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Peiying Feng. A scholar is included among the top collaborators of Peiying Feng 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 Peiying Feng. Peiying Feng 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
1.
Li, Yating, Kexin Yang, Ping Zhang, et al.. (2025). Allergen sensitization patterns: Allergic rhinitis with multimorbidity versus alone—A real‐world study. Clinical and Translational Allergy. 15(1). e70030–e70030. 2 indexed citations
2.
Hoog, Sybren de, Chao Tang, Yinggai Song, et al.. (2024). Fungal primary and opportunistic pathogens: an ecological perspective. FEMS Microbiology Reviews. 48(5). 4 indexed citations
3.
Li, Meirong, et al.. (2024). Aetiology of tinea of vellus hair and substrate specificity in Microsporum species. Mycoses. 67(2). 1 indexed citations
4.
Ahmed, Sarah, Chao Tang, Andrea Peano, et al.. (2023). Human adaptation and diversification in the Microsporum canis complex. IMA Fungus. 14(1). 14–14. 8 indexed citations
5.
Tang, Chao, Jacques Guillot, Gudrun Wibbelt, et al.. (2023). Dermatophytes and mammalian hair: aspects of the evolution of Arthrodermataceae. Fungal Diversity. 125(1). 139–156. 4 indexed citations
6.
Liu, Wentao, et al.. (2022). Exploring the clinical features and risk factors for children tinea capitis complicated with allergic diseases. Mycoses. 66(4). 338–345. 5 indexed citations
7.
Qiu, Huijun, Rui Zheng, Xinyue Wang, et al.. (2021). Using the Internet Big Data to Investigate the Epidemiological Characteristics of Allergic Rhinitis and Allergic Conjunctivitis. Risk Management and Healthcare Policy. Volume 14. 1833–1841. 3 indexed citations
8.
9.
Jiang, Yanping, Karolina Dukik, José F. Muñoz, et al.. (2018). Phylogeny, ecology and taxonomy of systemic pathogens and their relatives in Ajellomycetaceae (Onygenales): Blastomyces, Emergomyces, Emmonsia, Emmonsiellopsis. Fungal Diversity. 90(1). 245–291. 73 indexed citations
10.
Najafzadeh, Mohammad Javad, Vânia Aparecida Vicente, Peiying Feng, et al.. (2018). Rapid Identification of Seven Waterborne Exophiala Species by RCA DNA Padlock Probes. Mycopathologia. 183(4). 669–677. 10 indexed citations
11.
Xie, Xiaoyuan, Meirong Li, Ling Wei, et al.. (2018). Prevalence of low inflammatory tinea genitalis in southern China. Mycoses. 62(3). 284–290. 6 indexed citations
12.
Ma, Han, Panpan Liang, Jian Chen, Peiying Feng, & Wei Lai. (2017). Keratitis–ichthyosis–deafness syndrome accompanied by disseminated cutaneous fungal infection. The Journal of Dermatology. 44(11). 1255–1261. 7 indexed citations
13.
Dukik, Karolina, José F. Muñoz, Yanping Jiang, et al.. (2017). Novel taxa of thermally dimorphic systemic pathogens in the Ajellomycetaceae (Onygenales). Mycoses. 60(5). 296–309. 99 indexed citations
14.
Zeng, Jingsi, et al.. (2013). Multilocus analysis of the Exophiala jeanselmei clade containing black yeasts involved in opportunistic disease in humans. Fungal Diversity. 65(1). 3–16. 12 indexed citations
15.
Rodrigues, Anderson Messias, et al.. (2013). Global ITS diversity in the Sporothrix schenckii complex. Fungal Diversity. 66(1). 153–165. 101 indexed citations
16.
Najafzadeh, Mohammad Javad, et al.. (2013). Detection and identification of opportunistic Exophiala species using the rolling circle amplification of ribosomal internal transcribed spacers. Journal of Microbiological Methods. 94(3). 338–342. 43 indexed citations
17.
Feng, Peiying, Qiaoyun Lu, Mohammad Javad Najafzadeh, et al.. (2012). Cyphellophora and its relatives in Phialophora: biodiversity and possible role in human infection. Fungal Diversity. 65(1). 17–45. 63 indexed citations
18.
Feng, Peiying, Quan Lü, Mohammad Javad Najafzadeh, et al.. (2012). Cyphellophora and its relatives in Phialophora: Biodiversity and their possible role in human infection. Mycoses. 55. 255–255. 1 indexed citations
19.
Feng, Peiying, Mohammad Javad Najafzadeh, Jiufeng Sun, et al.. (2012). In VitroActivities of Nine Antifungal Drugs against 81 Phialophora and Cyphellophora Isolates. Antimicrobial Agents and Chemotherapy. 56(11). 6044–6047. 20 indexed citations
20.
Lai, Wei, et al.. (2010). Distributional difference of erythromycin resistance genes in different Ureaplasma urealyticum biovars.. The Chinese Journal of Dermatovenereology. 24(8). 699–701. 1 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.

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