Ali Ladram
Impact in
- Microbiology top 0.2%
- Antimicrobial Peptides and Activities
- Immunology top 10%
- Invertebrate Immune Response Mechanisms
- Aquaculture disease management and microbiota
Papers in
-
- Biochemical and Structural Characterization 16
- Lipid Membrane Structure and Behavior 9
- Receptor Mechanisms and Signaling 6
- Chemical Synthesis and Analysis 4
- Microbiology 29
- Antimicrobial Peptides and Activities 29
- Co-authors
- Pierre Nicolas (26 shared papers)Mohamed Amiche (10 shared papers)Vincent Humblot (8 shared papers)Feten Abbassi (7 shared papers)Olivier Lequin (5 shared papers)Christophe Piesse (11 shared papers)Thierry Foulon (9 shared papers)Marc Bulant (12 shared papers)
- Journals
- Biochemistry (5 papers)Endocrinology (4 papers)Peptides (4 papers)PLoS ONE (3 papers)Biochimie (2 papers)
- Partner nations
- FranceBrazilUnited States
In The Last Decade
Ali Ladram
45 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 90
- Microbiology 1.1k
- Immunology 284
- Molecular Biology 936
- Behavioral Neuroscience 39
- Cellular and Molecular Neuroscience 193
Countries citing papers authored by Ali Ladram
This map shows the geographic impact of Ali Ladram'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 Ali Ladram with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ali Ladram more than expected).
Fields of papers citing papers by Ali Ladram
This network shows the impact of papers produced by Ali Ladram. 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 Ali Ladram. The network helps show where Ali Ladram may publish in the future.
Co-authors
The 25 scholars most cited alongside Ali Ladram, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 222 | |
| 2 | 2016 | 95 | |
| 3 | 2005 | 94 | |
| 4 | 2008 | 91 | |
| 5 | 2016 | 77 | |
| 6 | 2010 | 75 | |
| 7 | 2008 | 66 | |
| 8 | 2010 | 62 | |
| 9 | 2008 | 61 | |
| 10 | 2017 | 57 | |
| 11 | 2012 | 46 | |
| 12 | 2004 | 44 | |
| 13 | 2019 | 43 | |
| 14 | 2018 | 41 | |
| 15 | 2008 | 40 | |
| 16 | 2012 | 34 | |
| 17 | 2006 | 33 | |
| 18 | 2013 | 29 | |
| 19 | 2015 | 27 | |
| 20 | 2004 | 26 |
About Ali Ladram
Ali Ladram is a scholar working on Molecular Biology, Microbiology, Cellular and Molecular Neuroscience, Reproductive Medicine and Immunology, having authored 45 papers that have together received 1.5k indexed citations. Recurring topics across this work include Antimicrobial Peptides and Activities (29 papers), Biochemical and Structural Characterization (16 papers), Neuropeptides and Animal Physiology (11 papers), Hypothalamic control of reproductive hormones (9 papers), Lipid Membrane Structure and Behavior (9 papers), Receptor Mechanisms and Signaling (6 papers), Chemical Synthesis and Analysis (4 papers) and Thyroid Disorders and Treatments (3 papers). The work is most often cited by research in Microbiology (1.1k citations), Immunology (284 citations), Molecular Biology (936 citations), Behavioral Neuroscience (39 citations) and Cellular and Molecular Neuroscience (193 citations). Ali Ladram has collaborated with scholars based in France, Brazil and United States. Frequent co-authors include Pierre Nicolas, Mohamed Amiche, Vincent Humblot, Feten Abbassi, Olivier Lequin, Christophe Piesse, Thierry Foulon, Marc Bulant, Bruno Oury and Suzana M. Ribeiro. Their work appears in journals such as Biochemistry, Endocrinology, Peptides, PLoS ONE and Biochimie.
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.