Linda Ejim
Impact in
- Molecular Medicine top 1%
- Antibiotic Resistance in Bacteria
Papers in
-
- Microbial Natural Products and Biosynthesis 6
- Co-authors
- Gerard D. Wright (17 shared papers)Eric D. Brown (4 shared papers)Maya A. Farha (2 shared papers)Mike Tyers (3 shared papers)Jan Wildenhain (2 shared papers)Shannon B. Falconer (1 shared paper)Brian K. Coombes (1 shared paper)Kalinka Koteva (5 shared papers)
- Journals
- Phytochemistry (2 papers)Cell chemical biology (2 papers)Journal of Medicinal Chemistry (1 paper)Nature Chemistry (1 paper)ACS Infectious Diseases (1 paper)
- Partner nations
- CanadaUnited KingdomNigeria
In The Last Decade
Linda Ejim
19 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 93
- Molecular Medicine 445
- Applied Microbiology and Biotechnology 49
- Microbiology 140
- Infectious Diseases 351
- Pharmacology 281
Countries citing papers authored by Linda Ejim
This map shows the geographic impact of Linda Ejim'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 Linda Ejim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Linda Ejim more than expected).
Fields of papers citing papers by Linda Ejim
This network shows the impact of papers produced by Linda Ejim. 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 Linda Ejim. The network helps show where Linda Ejim may publish in the future.
Co-authors
The 25 scholars most cited alongside Linda Ejim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 430 | |
| 2 | 2012 | 172 | |
| 3 | 2011 | 154 | |
| 4 | 2008 | 137 | |
| 5 | 2018 | 104 | |
| 6 | 2011 | 64 | |
| 7 | 2004 | 56 | |
| 8 | 2018 | 56 | |
| 9 | 2009 | 40 | |
| 10 | 2007 | 34 | |
| 11 | 1990 | 33 | |
| 12 | 2016 | 31 | |
| 13 | 2012 | 31 | |
| 14 | 2003 | 28 | |
| 15 | 2023 | 27 | |
| 16 | 2017 | 20 | |
| 17 | 2004 | 20 | |
| 18 | 2001 | 16 | |
| 19 | 2023 | 10 |
About Linda Ejim
Linda Ejim is a scholar working on Molecular Biology, Pharmacology, Molecular Medicine, Materials Chemistry and Infectious Diseases, having authored 19 papers that have together received 1.5k indexed citations. Recurring topics across this work include Microbial Natural Products and Biosynthesis (6 papers), Antibiotic Resistance in Bacteria (5 papers), Enzyme Structure and Function (4 papers), Folate and B Vitamins Research (2 papers), Fungal Infections and Studies (2 papers), Plant Pathogens and Fungal Diseases (2 papers), Antimicrobial Resistance in Staphylococcus (2 papers) and Cancer Research and Treatments (2 papers). The work is most often cited by research in Molecular Medicine (445 citations), Applied Microbiology and Biotechnology (49 citations), Microbiology (140 citations), Infectious Diseases (351 citations) and Pharmacology (281 citations). Linda Ejim has collaborated with scholars based in Canada, United Kingdom and Nigeria. Frequent co-authors include Gerard D. Wright, Eric D. Brown, Maya A. Farha, Mike Tyers, Jan Wildenhain, Shannon B. Falconer, Brian K. Coombes, Kalinka Koteva, Emma Griffiths and P.J. Stogios. Their work appears in journals such as Phytochemistry, Cell chemical biology, Journal of Medicinal Chemistry, Nature Chemistry and ACS 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.