Max Bloomfield

487 citations
23 papers · 320 · h-index 8

Impact in

Papers in

Max Bloomfield

20 papers receiving 307 citations

Peers

Max Bloomfield
Comparison fields: 5 of 38
  • Applied Microbiology and Biotechnology 26
  • Infectious Diseases 189
  • Molecular Medicine 33
  • Clinical Biochemistry 13
  • Statistics and Probability 15
Replace Maartje Visser with:
Maartje Visser Netherlands
Edwin Shumba Ethiopia
Barnes S. Kitsao United Kingdom
S. Swidsinski Germany
Pranay R. Randad United States
Alberto Mendoza‐Ticona Peru
Michael J. Tan United States
Anita Blomfeldt Norway
Samit S. Desai United States
Tafese Beyene Tufa Germany
Max Bloomfield relative to Maartje Visser Netherlands Maartje Visser's profile →
Citations per field
00.5×2×4×6×7.5×
Maartje Visser · 1×
Citations per year

Countries citing papers authored by Max Bloomfield

Since Specialization
Citations

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

Fields of papers citing papers by Max Bloomfield

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Max Bloomfield, 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 Max Bloomfield Line = papers co-authored together Max Bloomfield links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2022114
2 202281
3 202026
4 202318
5 202315
6 202412
7 202411
8 202510
9 20237
10 20256
11 20254
12 20243
13 20253
14 20222
15 20232
16 20252
17 20241
18 20251
19 20251
20 20261

About Max Bloomfield

Max Bloomfield is a scholar working on Applied Microbiology and Biotechnology, Infectious Diseases, Molecular Medicine, Clinical Biochemistry and Pharmacology, having authored 23 papers that have together received 320 indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (8 papers), Antibiotic Use and Resistance (7 papers), Antibiotic Resistance in Bacteria (4 papers), Bacterial Identification and Susceptibility Testing (3 papers), Genomics and Phylogenetic Studies (2 papers), Antibiotics Pharmacokinetics and Efficacy (2 papers), Clostridium difficile and Clostridium perfringens research (1 paper) and Nosocomial Infections in ICU (1 paper). The work is most often cited by research in Applied Microbiology and Biotechnology (26 citations), Infectious Diseases (189 citations), Molecular Medicine (33 citations), Clinical Biochemistry (13 citations) and Statistics and Probability (15 citations). Max Bloomfield has collaborated with scholars based in New Zealand, Australia and United Kingdom. Frequent co-authors include Michelle N. D. Balm, Miles C. Benton, Donia P Macartney-Coxson, Kristin H. Dyet, Sarah Bakker, Craig Thornley, David J. Winter, Christine Couldrey, Chad Harland and Annette Nesdale. Their work appears in journals such as Clinical Infectious Diseases, Journal of Antimicrobial Chemotherapy, Microbial Genomics, Journal of Hospital Infection and Antimicrobial Resistance and Infection Control.

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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