Ellen Smith Moland

51 papers receiving 2.5k citations

Peers

Ellen Smith Moland
Comparison fields: 5 of 84
  • Molecular Medicine 2.3k
  • Applied Microbiology and Biotechnology 485
  • Endocrinology 989
  • Clinical Biochemistry 395
  • Pollution 622
Replace Jong Hwa Yum with:
Jong Hwa Yum South Korea
Il Kwon Bae South Korea
Kalyan D. Chavda United States
D. Sirot France
Marina Warner United Kingdom
Naohiro Shibata Japan
Simona Bratu United States
Anaïs Potron France
José Manuel Rodríguez-Martínez Spain
A Markogiannakis Greece
Ellen Smith Moland relative to Jong Hwa Yum South Korea Jong Hwa Yum's profile →
Citations per field
00.5×1.5×
Jong Hwa Yum · 1×
Citations per year

Countries citing papers authored by Ellen Smith Moland

Since Specialization
Citations

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

Fields of papers citing papers by Ellen Smith Moland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ellen Smith Moland. 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 Ellen Smith Moland. The network helps show where Ellen Smith Moland may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 200833
2 20067
3 2006114
4 20056
5 200565
6 2005186
7 200417
8 2003201
9 20018
10 20012
11 20013
12 200132
13 200077
14 199956
15 199936
16 199910
17 1998201
18 199660
19 19954
20 199127

About Ellen Smith Moland

Ellen Smith Moland is a scholar working on Molecular Medicine, Applied Microbiology and Biotechnology, Endocrinology, Pharmacology and Pollution, having authored 52 papers that have together received 2.6k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (43 papers), Antibiotics Pharmacokinetics and Efficacy (25 papers), Pharmaceutical and Antibiotic Environmental Impacts (15 papers), Pneumonia and Respiratory Infections (8 papers), Bacterial Identification and Susceptibility Testing (7 papers), Enterobacteriaceae and Cronobacter Research (7 papers), Antibiotic Use and Resistance (7 papers) and Bacterial biofilms and quorum sensing (6 papers). The work is most often cited by research in Molecular Medicine (2.3k citations), Applied Microbiology and Biotechnology (485 citations), Endocrinology (989 citations), Clinical Biochemistry (395 citations) and Pollution (622 citations). Ellen Smith Moland has collaborated with scholars based in United States, Japan and Puerto Rico. Frequent co-authors include Kenneth S. Thomson, Christine C. Sanders, Nancy D. Hanson, P E Coudron, Jennifer Ann Black, Johann Pitout, William E. Sanders, Anton F. Ehrhardt, Yunsop Chong and Ashfaque Hossain. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Journal of Clinical Microbiology, Diagnostic Microbiology and Infectious Disease, Journal of Antimicrobial Chemotherapy and Clinical 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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