Maya Korem

1.6k citations
53 papers · 437 · h-index 12

Impact in

Papers in

    • Fungal Infections and Studies 9
    • Pneumocystis jirovecii pneumonia detection and treatment 6
    • Pneumonia and Respiratory Infections 2
    • Antifungal resistance and susceptibility 17
    • Antimicrobial Resistance in Staphylococcus 3

Maya Korem

49 papers receiving 422 citations

Peers

Maya Korem
Comparison fields: 5 of 87
  • Infectious Diseases 138
  • Molecular Medicine 28
  • Epidemiology 140
  • Endocrinology 18
  • Applied Microbiology and Biotechnology 6
Replace Levent Görenek with:
Levent Görenek Türkiye
Roberta Maria Antonello Italy
Outi Lyytikäinen Finland
Shekhar Pal India
Yaşar Bayındır Türkiye
Ali Amanati Iran
Babak Pourakbari Iran
Kelvin Hei‐Yeung Chiu Hong Kong
Julie Gagnaire France
Yoshinori Yasui Japan
Maya Korem relative to Levent Görenek Türkiye Levent Görenek's profile →
Citations per field
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Levent Görenek · 1×
Citations per year

Countries citing papers authored by Maya Korem

Since Specialization
Citations

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

Fields of papers citing papers by Maya Korem

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201550
2 201148
3 201935
4 201934
5 200826
6 202219
7 201817
8 202315
9 201914
10 201413
11 201912
12 201411
13 201211
14 200410
15 20238
16 20228
17 20206
18 20186
19 20176
20 20255

About Maya Korem

Maya Korem is a scholar working on Epidemiology, Infectious Diseases, Surgery, Immunology and Pulmonary and Respiratory Medicine, having authored 53 papers that have together received 437 indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (17 papers), Fungal Infections and Studies (9 papers), Pneumocystis jirovecii pneumonia detection and treatment (6 papers), Antimicrobial Resistance in Staphylococcus (3 papers), Polyomavirus and related diseases (2 papers), Pneumonia and Respiratory Infections (2 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers) and Biosensors and Analytical Detection (2 papers). The work is most often cited by research in Infectious Diseases (138 citations), Molecular Medicine (28 citations), Epidemiology (140 citations), Endocrinology (18 citations) and Applied Microbiology and Biotechnology (6 citations). Maya Korem has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Itzhack Polacheck, Allon E. Moses, Ariel Tenenbaum, Sarah Israel, Isaiah D. Wexler, Joav Merrick, David Shoseyov, Alex Gileles‐Hillel, Sharon Amit and Malena Cohen‐Cymberknoh. Their work appears in journals such as Journal of Fungi, Nature Communications, Medical Mycology, European Journal of Internal Medicine and The Laryngoscope.

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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