Aaron Kosinski

545 citations
16 papers · 449 · h-index 12

Impact in

Papers in

    • Genomics and Chromatin Dynamics 3
    • Biochemical and Molecular Research 2
    • Estrogen and related hormone effects 5

Aaron Kosinski

16 papers receiving 447 citations

Peers

Aaron Kosinski
Comparison fields: 5 of 72
  • Molecular Biology 263
  • Organic Chemistry 77
  • Plant Science 99
  • Genetics 68
  • Public Health, Environmental and Occupational Health 65
Replace Graeme Thomson with:
Graeme Thomson United Kingdom
Fernanda Aparecida Heleno Batista Brazil
Nina Sacerdoti‐Sierra Israel
Michael A. Hast United States
Sourav Saha United States
A.E. Oberholzer Switzerland
Elizabeth Thomas United States
Harkewal Singh United States
Verónica Gómez‐Pérez Spain
Terence Beghyn France
Aaron Kosinski relative to Graeme Thomson United Kingdom Graeme Thomson's profile →
Citations per field
00.5×3.2×
Graeme Thomson · 1×
Citations per year

Countries citing papers authored by Aaron Kosinski

Since Specialization
Citations

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

Fields of papers citing papers by Aaron Kosinski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 200569
2 200763
3 200850
4 200948
5 200842
6 200839
7 200732
8 200923
9 200923
10 200917
11 201214
12 201511
13 20138
14 20157
15 20112
16
Developing a drug delivery system for treatment of vocal fold scarring
20131

About Aaron Kosinski

Aaron Kosinski is a scholar working on Molecular Biology, Genetics, Endocrinology, Diabetes and Metabolism, Epidemiology and Public Health, Environmental and Occupational Health, having authored 16 papers that have together received 449 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (5 papers), Genomics and Chromatin Dynamics (3 papers), Research on Leishmaniasis Studies (3 papers), Voice and Speech Disorders (3 papers), Chromosomal and Genetic Variations (3 papers), Trypanosoma species research and implications (3 papers), Thyroid Disorders and Treatments (2 papers) and Biochemical and Molecular Research (2 papers). The work is most often cited by research in Molecular Biology (263 citations), Organic Chemistry (77 citations), Plant Science (99 citations), Genetics (68 citations) and Public Health, Environmental and Occupational Health (65 citations). Aaron Kosinski has collaborated with scholars based in United States. Frequent co-authors include R. Kiplin Guy, Janet F. Partridge, Leggy A. Arnold, Fangyi Zhu, Jennifer DeBeauchamp, Michele Connelly, James H. McKerrow, Jeremy P. Mallari, Anang A. Shelat and Michael Hadler. Their work appears in journals such as Journal of Medicinal Chemistry, Molecular and Cellular Biology, SLAS DISCOVERY, The Laryngoscope and Bioorganic & Medicinal Chemistry Letters.

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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