Mark J. Mandel

2.6k total citations
53 papers, 1.9k citations indexed

About

Mark J. Mandel is a scholar working on Molecular Biology, Endocrinology and Immunology. According to data from OpenAlex, Mark J. Mandel has authored 53 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 32 papers in Endocrinology and 14 papers in Immunology. Recurrent topics in Mark J. Mandel's work include Vibrio bacteria research studies (31 papers), Bacterial biofilms and quorum sensing (17 papers) and Aquaculture disease management and microbiota (14 papers). Mark J. Mandel is often cited by papers focused on Vibrio bacteria research studies (31 papers), Bacterial biofilms and quorum sensing (17 papers) and Aquaculture disease management and microbiota (14 papers). Mark J. Mandel collaborates with scholars based in United States, Australia and Italy. Mark J. Mandel's co-authors include Edward G. Ruby, Thomas J. Silhavy, Eric V. Stabb, Michael S. Wollenberg, Karen L. Visick, Alan R. Hauser, Egon A. Ozer, John F. Brooks, Caitlin A. Brennan and Celeste Peterson and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Mark J. Mandel

53 papers receiving 1.9k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mark J. Mandel United States 24 1.1k 813 436 429 284 53 1.9k
M. Clarke Miller United States 29 1.3k 1.2× 327 0.4× 211 0.5× 280 0.7× 192 0.7× 49 2.5k
Sergio G. Bartual Spain 19 1.4k 1.3× 401 0.5× 627 1.4× 294 0.7× 152 0.5× 29 2.7k
Nadia Dolganov United States 12 1.1k 1.0× 1.0k 1.3× 360 0.8× 249 0.6× 427 1.5× 13 1.9k
Tim Miyashiro United States 16 638 0.6× 561 0.7× 180 0.4× 268 0.6× 194 0.7× 30 1.1k
Anne K. Dunn United States 19 766 0.7× 580 0.7× 335 0.8× 271 0.6× 233 0.8× 28 1.4k
Nicholas J. Shikuma United States 16 749 0.7× 456 0.6× 350 0.8× 299 0.7× 167 0.6× 29 1.3k
Peter D. Newell United States 22 1.1k 1.0× 318 0.4× 284 0.7× 622 1.4× 264 0.9× 31 2.2k
Béatrice Segurens France 20 1.2k 1.1× 238 0.3× 390 0.9× 465 1.1× 152 0.5× 26 2.1k
Ann M. Stevens United States 29 2.2k 2.0× 832 1.0× 648 1.5× 1000 2.3× 335 1.2× 58 3.4k
Robson Francisco de Souza Brazil 21 766 0.7× 271 0.3× 241 0.6× 312 0.7× 137 0.5× 50 1.5k

Countries citing papers authored by Mark J. Mandel

Since Specialization
Citations

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

Fields of papers citing papers by Mark J. Mandel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark J. Mandel. 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 Mark J. Mandel. The network helps show where Mark J. Mandel may publish in the future.

Co-authorship network of co-authors of Mark J. Mandel

This figure shows the co-authorship network connecting the top 25 collaborators of Mark J. Mandel. A scholar is included among the top collaborators of Mark J. Mandel 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 Mark J. Mandel. Mark J. Mandel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Nyholm, Spencer V., et al.. (2025). Euprymna berryi as a comparative model host for Vibrio fischeri light organ symbiosis. Applied and Environmental Microbiology. 91(8). e0000125–e0000125. 1 indexed citations
2.
Peters, Jason M., et al.. (2024). Mobile-CRISPRi as a powerful tool for modulating Vibrio gene expression. Applied and Environmental Microbiology. 90(6). e0006524–e0006524. 4 indexed citations
3.
Burgos, Hector L. & Mark J. Mandel. (2024). Generation of Barcode‐Tagged Vibrio fischeri Deletion Strains and Barcode Sequencing (BarSeq) for Multiplex Strain Competitions. Current Protocols. 4(10). e70024–e70024. 2 indexed citations
4.
Gao, Jing, et al.. (2024). Functional analysis of cyclic diguanylate-modulating proteins in Vibrio fischeri. mSystems. 9(11). e0095624–e0095624. 1 indexed citations
5.
McCaughey, Catherine S., et al.. (2024). A Label-Free Approach for Relative Spatial Quantitation of c-di-GMP in Microbial Biofilms. Analytical Chemistry. 96(21). 8308–8316. 4 indexed citations
6.
Mandel, Mark J., et al.. (2024). Cyclic Diguanylate in the Wild: Roles During Plant and Animal Colonization. Annual Review of Microbiology. 78(1). 533–551. 1 indexed citations
7.
Yildiz, Fitnat H., et al.. (2024). Microbial Metabolomics’ Latest SICRIT: Soft Ionization by Chemical Reaction In-Transfer Mass Spectrometry. Journal of the American Society for Mass Spectrometry. 35(12). 3049–3056. 3 indexed citations
8.
Mandel, Mark J., et al.. (2023). Transcriptional pathways across colony biofilm models in the symbiont Vibrio fischeri. mSystems. 9(1). e0081523–e0081523. 6 indexed citations
9.
10.
Christensen, David G., et al.. (2022). High Levels of Cyclic Diguanylate Interfere with Beneficial Bacterial Colonization. mBio. 13(4). e0167122–e0167122. 17 indexed citations
11.
Mandel, Mark J., et al.. (2021). Hybrid Histidine Kinase BinK Represses Vibrio fischeri Biofilm Signaling at Multiple Developmental Stages. Journal of Bacteriology. 203(15). e0015521–e0015521. 12 indexed citations
12.
Burgos, Hector L., et al.. (2020). Multiplexed Competition in a Synthetic Squid Light Organ Microbiome Using Barcode-Tagged Gene Deletions. mSystems. 5(6). 7 indexed citations
13.
Rotman, Ella, et al.. (2019). Natural Strain Variation Reveals Diverse Biofilm Regulation in Squid-Colonizing Vibrio fischeri. Journal of Bacteriology. 201(9). 21 indexed citations
14.
Speare, Lauren, Kirsten R. Guckes, Stephanie Smith, et al.. (2018). Bacterial symbionts use a type VI secretion system to eliminate competitors in their natural host. Proceedings of the National Academy of Sciences. 115(36). E8528–E8537. 134 indexed citations
15.
Mandel, Mark J. & Anne K. Dunn. (2016). Impact and Influence of the Natural Vibrio-Squid Symbiosis in Understanding Bacterial–Animal Interactions. Frontiers in Microbiology. 7. 1982–1982. 31 indexed citations
16.
Prince, Benjamin T., Mark J. Mandel, Kari C. Nadeau, & Anne Marie Singh. (2015). Gut Microbiome and the Development of Food Allergy and Allergic Disease. Pediatric Clinics of North America. 62(6). 1479–1492. 58 indexed citations
17.
Post, Deborah M. B., Liping Yu, Biswa Choudhury, et al.. (2012). O-antigen and Core Carbohydrate of Vibrio fischeri Lipopolysaccharide. Journal of Biological Chemistry. 287(11). 8515–8530. 54 indexed citations
18.
Wier, Andrew M., Spencer V. Nyholm, Mark J. Mandel, et al.. (2010). Transcriptional patterns in both host and bacterium underlie a daily rhythm of anatomical and metabolic change in a beneficial symbiosis. Proceedings of the National Academy of Sciences. 107(5). 2259–2264. 134 indexed citations
19.
Mandel, Mark J.. (2010). Models and approaches to dissect host–symbiont specificity. Trends in Microbiology. 18(11). 504–511. 33 indexed citations
20.
Mandel, Mark J., Eric V. Stabb, & Edward G. Ruby. (2008). Comparative genomics-based investigation of resequencing targets in Vibrio fischeri: Focus on point miscalls and artefactual expansions. BMC Genomics. 9(1). 138–138. 68 indexed citations

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by M. Clarke Miller Breakdown of academic impact, for papers by Sergio G. Bartual Breakdown of academic impact, for papers by Nadia Dolganov Breakdown of academic impact, for papers by Tim Miyashiro Breakdown of academic impact, for papers by Anne K. Dunn Breakdown of academic impact, for papers by Nicholas J. Shikuma Breakdown of academic impact, for papers by Peter D. Newell Breakdown of academic impact, for papers by Béatrice Segurens Breakdown of academic impact, for papers by Ann M. Stevens Breakdown of academic impact, for papers by Robson Francisco de Souza
Rankless by CCL
2026