Mikhail V. Keniya

2.2k citations
30 papers · 1.7k indexed · 1 hit paper · h-index 16
Topics
Antifungal resistance and susceptibility (26 papers)Fungal Infections and Studies (9 papers)Peptidase Inhibition and Analysis (7 papers)

In The Last Decade

Mikhail V. Keniya

28 papers receiving 1.6k citations

Hit Papers

Efflux-Mediated Antifungal Drug Resistance20092026201420202009100200300400

Peers

Mikhail V. Keniya
Comparison fields: 5 of 81
  • Infectious Diseases 959
  • Epidemiology 597
  • Molecular Biology 479
  • Organic Chemistry 399
  • Pharmacology 251
Replace Lan Yan with:
Lan Yan China
Sanjib Bhakta United Kingdom
Erwin Lamping New Zealand
Srinivasa P. S. Rao United States
Lluís Ballell Spain
Jana Korduláková Slovakia
Sudagar S. Gurcha United Kingdom
Héctor R. Morbidoni Argentina
Anna M. Upton United States
João Neres United Kingdom
Mikhail V. Keniya relative to Lan Yan China Lan Yan's profile →
Citations per field
00.5×1.5×
Lan Yan · 1×
Citations per year

Countries citing papers authored by Mikhail V. Keniya

Since Specialization
Citations

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

Fields of papers citing papers by Mikhail V. Keniya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mikhail V. Keniya. 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 Mikhail V. Keniya. The network helps show where Mikhail V. Keniya may publish in the future.

Co-authorship network of co-authors of Mikhail V. Keniya

This figure shows the co-authorship network connecting the top 25 collaborators of Mikhail V. Keniya. A scholar is included among the top collaborators of Mikhail V. Keniya 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 Mikhail V. Keniya. Mikhail V. Keniya 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
#WorkIndexed citations
1 0
2 1
3 0
4 1
5 1
6 7
7 5
8 3
9 11
10 5
11 90
12 14
13 83
14 50
15 86
16 51
17 160
18 226
19 7
20
Efflux-Mediated Antifungal Drug Resistancebreakdown →
456

About Mikhail V. Keniya

Mikhail V. Keniya is a scholar working on Infectious Diseases, Pharmacology and Molecular Medicine, having authored 30 papers that have together received 1.7k indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (26 papers), Fungal Infections and Studies (9 papers) and Peptidase Inhibition and Analysis (7 papers). The work is most often cited by research in Infectious Diseases (959 citations), Molecular Medicine (132 citations) and Epidemiology (597 citations). Mikhail V. Keniya has collaborated with scholars based in New Zealand, United States and Austria. Frequent co-authors include Brian C. Monk, Richard D. Cannon, Joel D. A. Tyndall, A. Sagatova, Rajni K. Wilson, Ann R. Holmes, Erwin Lamping, Masakazu Niimi, Kyoko Niimi and Koichi Tanabe. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Clinical Microbiology Reviews.

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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