Mickey Kertesz

1.3k total citations
7 papers, 247 citations indexed

About

Mickey Kertesz is a scholar working on Epidemiology, Clinical Biochemistry and Oncology. According to data from OpenAlex, Mickey Kertesz has authored 7 papers receiving a total of 247 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Epidemiology, 5 papers in Clinical Biochemistry and 4 papers in Oncology. Recurrent topics in Mickey Kertesz's work include Bacterial Identification and Susceptibility Testing (5 papers), Mycobacterium research and diagnosis (4 papers) and Neutropenia and Cancer Infections (3 papers). Mickey Kertesz is often cited by papers focused on Bacterial Identification and Susceptibility Testing (5 papers), Mycobacterium research and diagnosis (4 papers) and Neutropenia and Cancer Infections (3 papers). Mickey Kertesz collaborates with scholars based in United States. Mickey Kertesz's co-authors include David K. Hong, Timothy A. Blauwkamp, Cynthia Truong, Niaz Banaei, Sivan Bercovici, Desiree Hollemon, Simona Zompì, José G. Montoya, Bruno C. Medeiros and Jill N. Anderson and has published in prestigious journals such as Clinical Infectious Diseases, Diagnostic Microbiology and Infectious Disease and Open Forum Infectious Diseases.

In The Last Decade

Mickey Kertesz

7 papers receiving 244 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mickey Kertesz United States 5 148 85 78 47 47 7 247
Lily Blair United States 8 204 1.4× 105 1.2× 109 1.4× 54 1.1× 37 0.8× 12 316
Zhenli Diao China 7 139 0.9× 28 0.3× 54 0.7× 44 0.9× 89 1.9× 18 290
Nanda Ramchandar United States 9 94 0.6× 54 0.6× 60 0.8× 10 0.2× 48 1.0× 33 236
Cole T. Lewis United States 8 63 0.4× 86 1.0× 109 1.4× 19 0.4× 40 0.9× 15 241
Emily R. Ko United States 9 90 0.6× 26 0.3× 67 0.9× 16 0.3× 93 2.0× 19 242
Glenna J. Peterson United States 11 140 0.9× 21 0.2× 194 2.5× 13 0.3× 89 1.9× 22 298
Yubao Ma China 8 157 1.1× 22 0.3× 94 1.2× 63 1.3× 42 0.9× 13 292
Chun‐Zhen Hua China 13 163 1.1× 11 0.1× 84 1.1× 10 0.2× 48 1.0× 34 318
Bianca Stenmark Sweden 10 169 1.1× 19 0.2× 71 0.9× 7 0.1× 64 1.4× 21 279
Guillaume Gricourt France 9 71 0.5× 34 0.4× 53 0.7× 13 0.3× 52 1.1× 19 185

Countries citing papers authored by Mickey Kertesz

Since Specialization
Citations

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

Fields of papers citing papers by Mickey Kertesz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mickey Kertesz

This figure shows the co-authorship network connecting the top 25 collaborators of Mickey Kertesz. A scholar is included among the top collaborators of Mickey Kertesz 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 Mickey Kertesz. Mickey Kertesz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
1.
Benamu, Esther, Jill N. Anderson, Carlos A. Gómez, et al.. (2021). Plasma Microbial Cell-free DNA Next-generation Sequencing in the Diagnosis and Management of Febrile Neutropenia. Clinical Infectious Diseases. 74(9). 1659–1668. 81 indexed citations
2.
Hong, David K., Timothy A. Blauwkamp, Mickey Kertesz, et al.. (2018). Liquid biopsy for infectious diseases: sequencing of cell-free plasma to detect pathogen DNA in patients with invasive fungal disease. Diagnostic Microbiology and Infectious Disease. 92(3). 210–213. 140 indexed citations
3.
Benamu, Esther, Jill N. Anderson, Carlos A. Gómez, et al.. (2018). 2294. Evaluation of the Karius Plasma Next-Generation Sequencing Cell-free Pathogen DNA Test to Determine the Etiology of Infection and Impact on Anti-Microbial Management in Patients with Severe Neutropenia and Fever. Open Forum Infectious Diseases. 5(suppl_1). S680–S680. 4 indexed citations
4.
Benamu, Esther, Jill N. Anderson, Desiree Hollemon, et al.. (2017). Performance of the Karius Plasma Next Generation Sequencing Test in Determining the Etiologic Diagnosis of Febrile Neutropenia: Results from a Pilot Study. Open Forum Infectious Diseases. 4(suppl_1). S613–S614. 4 indexed citations
5.
Ruffin, Felicia, Jonathan Hill-Rorie, Desiree Hollemon, et al.. (2017). Direct Detection and Quantification of Bacterial Cell-free DNA in Patients with Bloodstream Infection (BSI) Using the Karius Plasma Next Generation Sequencing (NGS) Test. Open Forum Infectious Diseases. 4(suppl_1). S613–S613. 7 indexed citations
6.
Thair, Simone A., Desiree Hollemon, David K. Hong, et al.. (2017). The SEP-SEQ Trial: Clinical Validation of the Karius Plasma Next-Generation Sequencing Test for Pathogen Detection in Sepsis. Open Forum Infectious Diseases. 4(suppl_1). S735–S735. 9 indexed citations
7.
Fung, Monica, Desiree Hollemon, David K. Hong, et al.. (2017). The DISCOVER Trial: Application of the Karius Plasma Next-Generation Sequencing Test for Pathogen Detection in Stem-Cell Transplant Patients. Open Forum Infectious Diseases. 4(suppl_1). S616–S616. 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.

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