Stan Deresinski

5.0k citations
106 papers · 3.4k indexed · 1 hit paper · h-index 30

Stan Deresinski

91 papers receiving 3.2k citations

Hit Papers

Norovirus4312015202620182022100200300400

Peers

Stan Deresinski
Comparison fields: 5 of 147
  • Infectious Diseases 1.9k
  • Applied Microbiology and Biotechnology 172
  • Clinical Biochemistry 556
  • Molecular Medicine 214
  • Epidemiology 1.3k
Replace Ercole Concia with:
Ercole Concia Italy
Leonard B. Johnson United States
Roberto Luzzati Italy
Robert H.K. Eng United States
Young Goo Song South Korea
Frederick S. Nolte United States
Michél Laverdière Canada
Kimberly E. Hanson United States
Kenneth H. Rand United States
Yu‐Chung Chuang Taiwan
Stan Deresinski relative to Ercole Concia Italy Ercole Concia's profile →
Citations per field
00.5×1.5×2.1×
Ercole Concia · 1×
Citations per year

Countries citing papers authored by Stan Deresinski

Since Specialization
Citations

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

Fields of papers citing papers by Stan Deresinski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 202317
3 20235
4 20231
5 20231
6 20223
7 20200
8 202019
9 201633
10 201570
11 20152
12 201556
13 20101
14 20091
15 20082
16 200728
17 2005344
18 2003118
19 2000218
20 19985

About Stan Deresinski

Stan Deresinski is a scholar working on Applied Microbiology and Biotechnology, Microbiology, Infectious Diseases, Clinical Biochemistry and Virology, having authored 106 papers that have together received 3.4k indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (20 papers), Bacterial Identification and Susceptibility Testing (19 papers), Fungal Infections and Studies (17 papers), Antimicrobial Resistance in Staphylococcus (15 papers), Mycobacterium research and diagnosis (11 papers), Antibiotic Use and Resistance (10 papers), Antibiotics Pharmacokinetics and Efficacy (10 papers) and HIV Research and Treatment (6 papers). The work is most often cited by research in Infectious Diseases (1.9k citations), Applied Microbiology and Biotechnology (172 citations), Clinical Biochemistry (556 citations), Molecular Medicine (214 citations) and Epidemiology (1.3k citations). Stan Deresinski has collaborated with scholars based in United States, Canada and Netherlands. Frequent co-authors include Elizabeth Robilotti, Benjamin A. Pinsky, Marisa Holubar, Lina Meng, Carol A. Kemper, Joel E. Gallant, Emily Mui, Richard Watkins, Jeffrey Dunn and David J. Epstein. Their work appears in journals such as Clinical Infectious Diseases, Open Forum Infectious Diseases, The Journal of Infectious Diseases, Pharmacotherapy The Journal of Human Pharmacology and Drug Therapy and Journal of Clinical Microbiology.

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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