M E Campbell

19 papers receiving 1.6k citations

Peers

M E Campbell
Comparison fields: 5 of 94
  • Molecular Medicine 456
  • Endocrinology 388
  • Pulmonary and Respiratory Medicine 910
  • Molecular Biology 789
  • Microbiology 69
Replace Catherine Doherty with:
Catherine Doherty United Kingdom
Deborah A. Henry Canada
Yvonne Yau Canada
Christine Segonds France
G. Chabanon France
Erik Bathoorn Netherlands
H. Vu Thien France
Andrea Petrucca Italy
Lisa A. Carmody United States
Peter Taylor Australia
M E Campbell relative to Catherine Doherty United Kingdom Catherine Doherty's profile →
Citations per field
00.5×1.5×2.0×
Catherine Doherty · 1×
Citations per year

Countries citing papers authored by M E Campbell

Since Specialization
Citations

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

Fields of papers citing papers by M E Campbell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M E Campbell. 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 M E Campbell. The network helps show where M E Campbell may publish in the future.

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 1994327
2 1996299
3 2001181
4 1997174
5 1996125
6 2002117
7 199070
8 198770
9 199960
10 198949
11 200044
12 199541
13 200232
14 198530
15 198827
16 199320
17 200217
18 202012
19 195410

About M E Campbell

M E Campbell is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Molecular Medicine, Plant Science and Endocrinology, having authored 19 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cystic Fibrosis Research Advances (13 papers), Bacterial biofilms and quorum sensing (10 papers), Antibiotic Resistance in Bacteria (7 papers), Plant Pathogenic Bacteria Studies (6 papers), Infections and bacterial resistance (5 papers), Mycobacterium research and diagnosis (2 papers), Antibiotics Pharmacokinetics and Efficacy (2 papers) and Antibiotic Use and Resistance (1 paper). The work is most often cited by research in Molecular Medicine (456 citations), Endocrinology (388 citations), Pulmonary and Respiratory Medicine (910 citations), Molecular Biology (789 citations) and Microbiology (69 citations). M E Campbell has collaborated with scholars based in Canada, United States and Belgium. Frequent co-authors include David P. Speert, Eshwar Mahenthiralingam, Deborah A. Henry, Joseph S. Lam, John J. LiPuma, A. George F. Davidson, Lawrence T. K. Wong, A. Gravelle, Susan Walker Farmer and Peter Vandamme. Their work appears in journals such as Journal of Clinical Microbiology, Clinical Infectious Diseases, American Journal of Respiratory and Critical Care Medicine, Canadian Journal of Microbiology and ˜The œNephron journals/Nephron journals.

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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