A C Niles

542 citations
28 papers · 422 · h-index 14

Impact in

Papers in

    • Bacterial Identification and Susceptibility Testing 16
    • Mycobacterium research and diagnosis 4
    • Urinary Tract Infections Management 3

A C Niles

27 papers receiving 375 citations

Peers

A C Niles
Comparison fields: 5 of 75
  • Microbiology 37
  • Clinical Biochemistry 151
  • Molecular Medicine 78
  • Applied Microbiology and Biotechnology 21
  • Endocrinology 42
Replace H. Chardón with:
H. Chardón France
Susan R. Swanzy United States
G. Laurans France
Tai-Fen Lee Taiwan
F. Wallet France
Lily Siew Yong Ng Singapore
Nadia Hidri France
Dolunay Gülmez Türkiye
Mohammad Hashemzadeh Iran
C. Watanakunakorn United States
A C Niles relative to H. Chardón France H. Chardón's profile →
Citations per field
00.5×2.8×
H. Chardón · 1×
Citations per year

Countries citing papers authored by A C Niles

Since Specialization
Citations

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

Fields of papers citing papers by A C Niles

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A C Niles. 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 A C Niles. The network helps show where A C Niles may publish in the future.

Co-authors

The 12 scholars most cited alongside A C Niles, 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 A C Niles Line = papers co-authored together A C Niles links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199159
2 198731
3 198729
4 198327
5 199127
6 198826
7 198324
8 198820
9 199019
10 198916
11 198415
12 198215
13 198114
14 199114
15 198712
16 198411
17 198810
18 198310
19 19929
20 19817

About A C Niles

A C Niles is a scholar working on Clinical Biochemistry, Epidemiology, Infectious Diseases, Pharmacology and Molecular Medicine, having authored 28 papers that have together received 422 indexed citations. Recurring topics across this work include Bacterial Identification and Susceptibility Testing (16 papers), Antibiotics Pharmacokinetics and Efficacy (5 papers), Antibiotic Resistance in Bacteria (5 papers), Mycobacterium research and diagnosis (4 papers), Urinary Tract Infections Management (3 papers), Yersinia bacterium, plague, ectoparasites research (3 papers), Antibiotic Use and Resistance (3 papers) and Antimicrobial Resistance in Staphylococcus (3 papers). The work is most often cited by research in Microbiology (37 citations), Clinical Biochemistry (151 citations), Molecular Medicine (78 citations), Applied Microbiology and Biotechnology (21 citations) and Endocrinology (42 citations). A C Niles has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Patrick R. Murray, P R Murray, Michael A. Pfaller, Donald J. Krogstad, Leonid Heifets, P Alperstein, R F D'Amato, Henry D. Isenberg, J.W. Van Dyke and Joan Hoppe‐Bauer. Their work appears in journals such as Journal of Clinical Microbiology, Diagnostic Microbiology and Infectious Disease, Antimicrobial Agents and Chemotherapy, American Journal of Clinical Pathology and The Journal of Infectious Diseases.

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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