Ann Huletsky

3.1k citations
37 papers · 2.1k · h-index 24

Impact in

Papers in

    • Bacterial biofilms and quorum sensing 4
    • Antimicrobial Resistance in Staphylococcus 8
    • Clostridium difficile and Clostridium perfringens research 4

Ann Huletsky

36 papers receiving 2.0k citations

Peers

Ann Huletsky
Comparison fields: 5 of 110
  • Molecular Medicine 384
  • Clinical Biochemistry 391
  • Infectious Diseases 544
  • Endocrinology 143
  • Oncology 373
Replace Hidekazu Suginaka with:
Hidekazu Suginaka Japan
Fuminobu Yoshimura Japan
Hwei‐Ling Peng Taiwan
Yunn‐Hwen Gan Singapore
Enea Gino Di Domenico Italy
Kelly C. Rice United States
Martin Nilsson Denmark
Ian Alan Holder United States
Lindsey N. Shaw United States
Abdellah Benachour France
Ann Huletsky relative to Hidekazu Suginaka Japan Hidekazu Suginaka's profile →
Citations per field
00.5×3.6×
Hidekazu Suginaka · 1×
Citations per year

Countries citing papers authored by Ann Huletsky

Since Specialization
Citations

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

Fields of papers citing papers by Ann Huletsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004310
2 2008274
3 1986157
4 1989114
5 1988105
6 200498
7 200595
8 199390
9 200077
10 199770
11 198557
12 200856
13 200555
14 201048
15 200046
16 200542
17 199041
18 200534
19 201133
20 200727

About Ann Huletsky

Ann Huletsky is a scholar working on Molecular Biology, Infectious Diseases, Molecular Medicine, Oncology and Epidemiology, having authored 37 papers that have together received 2.1k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (10 papers), Antimicrobial Resistance in Staphylococcus (8 papers), PARP inhibition in cancer therapy (6 papers), Clostridium difficile and Clostridium perfringens research (4 papers), Bacterial biofilms and quorum sensing (4 papers), Bacterial Identification and Susceptibility Testing (4 papers), Bacterial Genetics and Biotechnology (4 papers) and Streptococcal Infections and Treatments (3 papers). The work is most often cited by research in Molecular Medicine (384 citations), Clinical Biochemistry (391 citations), Infectious Diseases (544 citations), Endocrinology (143 citations) and Oncology (373 citations). Ann Huletsky has collaborated with scholars based in Canada, France and United States. Frequent co-authors include Michel G. Bergeron, François J. Picard, Guy G. Poirier, Maurice Boissinot, Gilbert de Murcia, Marc Ouellette, Roger C. Lévesque, Régis Peytavi, Paul H. Roy and Taimour Langaee. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Journal of Clinical Microbiology, Journal of Biological Chemistry, INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY and Gene.

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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