Martin J. Sergeant
- Molecular Biology top 10%
- Food Science top 1%
- Infectious Diseases top 2%
- Endocrinology top 0.5%
- Ecology top 5%
- Co-authors
- Zhemin ZhouMark AchtmanNabil-Fareed AlikhanMark J. PallenCharles W. PennChrystala ConstantinidouNina LuhmannAlexandre P. Francisco
- Topics
- Genomics and Phylogenetic Studies (10 papers)Bacteriophages and microbial interactions (6 papers)Salmonella and Campylobacter epidemiology (5 papers)
- Partner nations
- United KingdomFranceNorway
In The Last Decade
Martin J. Sergeant
40 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Molecular Biology 1.2k
- Food Science 759
- Infectious Diseases 569
- Endocrinology 553
- Ecology 539
Countries citing papers authored by Martin J. Sergeant
This map shows the geographic impact of Martin J. Sergeant'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 Martin J. Sergeant with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin J. Sergeant more than expected).
Fields of papers citing papers by Martin J. Sergeant
This network shows the impact of papers produced by Martin J. Sergeant. 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 Martin J. Sergeant. The network helps show where Martin J. Sergeant may publish in the future.
Co-authorship network of co-authors of Martin J. Sergeant
This figure shows the co-authorship network connecting the top 25 collaborators of Martin J. Sergeant. A scholar is included among the top collaborators of Martin J. Sergeant based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Martin J. Sergeant. Martin J. Sergeant is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 10 | |
| 4 | 23 | |
| 5 | 4 | |
| 6 | 23 | |
| 7 | 12 | |
| 8 | GrapeTree: visualization of core genomic relationships among 100,000 bacterial pathogensbreakdown → | 636 |
| 9 | 11 | |
| 10 | 122 | |
| 11 | 5 | |
| 12 | Extensive Microbial and Functional Diversity within the Chicken Cecal Microbiomebreakdown → | 337 |
| 13 | 86 | |
| 14 | 18 | |
| 15 | 288 | |
| 16 | 65 | |
| 17 | 164 | |
| 18 | 12 | |
| 19 | 39 | |
| 20 | 15 |
About Martin J. Sergeant
Martin J. Sergeant is a scholar working on Endocrinology, Infectious Diseases and Molecular Biology, having authored 40 papers that have together received 3.0k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (10 papers), Bacteriophages and microbial interactions (6 papers) and Salmonella and Campylobacter epidemiology (5 papers). The work is most often cited by research in Endocrinology (553 citations), Molecular Medicine (388 citations) and Food Science (759 citations). Martin J. Sergeant has collaborated with scholars based in United Kingdom, France and Norway. Frequent co-authors include Zhemin Zhou, Mark Achtman, Nabil-Fareed Alikhan, Mark J. Pallen, Charles W. Penn, Chrystala Constantinidou, Nina Luhmann, Alexandre P. Francisco, Cátia Vaz and João André Carriço. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications and Bioinformatics.
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.