Ian Marr

440 citations
21 papers · 264 · h-index 8

Impact in

Papers in

Ian Marr

20 papers receiving 258 citations

Peers

Ian Marr
Comparison fields: 5 of 72
  • Applied Microbiology and Biotechnology 12
  • Public Health, Environmental and Occupational Health 104
  • Molecular Medicine 14
  • Clinical Biochemistry 16
  • Microbiology 13
Replace Silvina Ruvinsky with:
Silvina Ruvinsky Argentina
Anna Jaeger Germany
Rok Čivljak Croatia
Sylvie Lariven France
C. Ficko France
Alberto Chebabo Brazil
Ndèye Aïssatou Lakhe Senegal
Alexa Dierig Switzerland
Jack Bissett United States
Ibrahim Ali Ethiopia
Ian Marr relative to Silvina Ruvinsky Argentina Silvina Ruvinsky's profile →
Citations per field
00.5×1.5×2.3×
Silvina Ruvinsky · 1×
Citations per year

Countries citing papers authored by Ian Marr

Since Specialization
Citations

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

Fields of papers citing papers by Ian Marr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011108
2 201729
3 201727
4 201823
5 201715
6 20219
7 20179
8 20207
9 20216
10 20225
11 20215
12 20205
13 20214
14 20223
15 20242
16 20222
17
Diagnosis and staging of breast cancer
20081
18 20211
19 20251
20 20091

About Ian Marr

Ian Marr is a scholar working on Public Health, Environmental and Occupational Health, Epidemiology, Molecular Medicine, Applied Microbiology and Biotechnology and Infectious Diseases, having authored 21 papers that have together received 264 indexed citations. Recurring topics across this work include Antibiotic Use and Resistance (3 papers), Antibiotic Resistance in Bacteria (3 papers), Global Health and Surgery (2 papers), Zoonotic diseases and public health (2 papers), Trypanosoma species research and implications (1 paper), Urologic and reproductive health conditions (1 paper), SARS-CoV-2 detection and testing (1 paper) and Telemedicine and Telehealth Implementation (1 paper). The work is most often cited by research in Applied Microbiology and Biotechnology (12 citations), Public Health, Environmental and Occupational Health (104 citations), Molecular Medicine (14 citations), Clinical Biochemistry (16 citations) and Microbiology (13 citations). Ian Marr has collaborated with scholars based in Australia, Timor-Leste and United Kingdom. Frequent co-authors include Sabe Sabesan, Rob Baird, Joshua Francis, Glen Huang, Steven Y. C. Tong, Deborah C. Holt, Craig S. Boutlis, Jane Davies, Matt O’Brien and Mandy Sanders. Their work appears in journals such as Antibiotics, Journal of Clinical Oncology, International Journal of Infectious Diseases, PLoS neglected tropical diseases and BMC Medical Informatics and Decision Making.

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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