Nicola Townell

497 citations
15 papers · 296 indexed · h-index 9

Nicola Townell

15 papers receiving 293 citations

Peers

Nicola Townell
Comparison fields: 5 of 65
  • Applied Microbiology and Biotechnology 50
  • Molecular Medicine 106
  • Endocrinology 51
  • Clinical Biochemistry 50
  • Microbiology 5
Replace Massimo Crapis with:
Massimo Crapis Italy
Cosmina Zeana United States
Alicia Rico Spain
A Varaiya India
Vitus Silago Tanzania
Yi-Tsung Lin Taiwan
Yoshiro Hadano Japan
Deena Sutter United States
Ameet Hingwe United States
Vishnu Chundi United States
Nicola Townell relative to Massimo Crapis Italy Massimo Crapis's profile →
Citations per field
00.5×1.5×2.1×
Massimo Crapis · 1×
Citations per year

Countries citing papers authored by Nicola Townell

Since Specialization
Citations

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

Fields of papers citing papers by Nicola Townell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

15 of 15 papers shown
#Work
1 20231
2 20224
3 202110
4 202013
5 20205
6 201929
7 201920
8 201970
9 20183
10 201836
11 20176
12 201569
13 20147
14 20128
15 201215

About Nicola Townell

Nicola Townell is a scholar working on Applied Microbiology and Biotechnology, Microbiology, Molecular Medicine, Clinical Biochemistry and Endocrinology, having authored 15 papers that have together received 296 indexed citations. Recurring topics across this work include Antibiotic Use and Resistance (7 papers), Antibiotic Resistance in Bacteria (5 papers), Bacterial Identification and Susceptibility Testing (3 papers), Bird parasitology and diseases (1 paper), COVID-19 epidemiological studies (1 paper), Salmonella and Campylobacter epidemiology (1 paper), Enterobacteriaceae and Cronobacter Research (1 paper) and Patient Satisfaction in Healthcare (1 paper). The work is most often cited by research in Applied Microbiology and Biotechnology (50 citations), Molecular Medicine (106 citations), Endocrinology (51 citations), Clinical Biochemistry (50 citations) and Microbiology (5 citations). Nicola Townell has collaborated with scholars based in Australia, Vanuatu and United Kingdom. Frequent co-authors include Colleen L. Lau, Claire Heney, Graeme R. Nimmo, Louise Davis, David L. Paterson, Jennifer Robson, Hanna E. Sidjabat, Lachlan McIver, Narelle George and Eloise Stephenson. Their work appears in journals such as Tropical Medicine and Infectious Disease, Antibiotics, British Medical Bulletin, International Journal of Infectious Diseases and Antimicrobial Agents and Chemotherapy.

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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