Seth D. Nydam

565 total citations
9 papers, 479 citations indexed

About

Seth D. Nydam is a scholar working on Endocrinology, Genetics and Food Science. According to data from OpenAlex, Seth D. Nydam has authored 9 papers receiving a total of 479 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Endocrinology, 3 papers in Genetics and 3 papers in Food Science. Recurrent topics in Seth D. Nydam's work include Vibrio bacteria research studies (5 papers), Salmonella and Campylobacter epidemiology (3 papers) and Yersinia bacterium, plague, ectoparasites research (3 papers). Seth D. Nydam is often cited by papers focused on Vibrio bacteria research studies (5 papers), Salmonella and Campylobacter epidemiology (3 papers) and Yersinia bacterium, plague, ectoparasites research (3 papers). Seth D. Nydam collaborates with scholars based in United States, Belgium and Ireland. Seth D. Nydam's co-authors include Douglas R. Call, Devendra H. Shah, Cheryl A. Nickerson, Jiseon Yang, Jennifer Barrila, Richard R. Davis, C. Mark Ott, Aurélie Crabbé, Sandhya Gangaraju and Mina J. Bissell and has published in prestigious journals such as Applied and Environmental Microbiology, Infection and Immunity and Microbiology.

In The Last Decade

Seth D. Nydam

9 papers receiving 473 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Seth D. Nydam United States 7 134 89 78 73 69 9 479
Katharina Nöbauer Austria 15 303 2.3× 87 1.0× 84 1.1× 32 0.4× 38 0.6× 34 691
Lisa M. Shollenberger United States 11 196 1.5× 55 0.6× 51 0.7× 21 0.3× 79 1.1× 26 468
A. Kovacs-Simon United Kingdom 10 268 2.0× 143 1.6× 85 1.1× 78 1.1× 26 0.4× 13 694
Priscila Dauros‐Singorenko New Zealand 11 366 2.7× 61 0.7× 55 0.7× 47 0.6× 44 0.6× 16 529
Hui Jin China 15 278 2.1× 111 1.2× 202 2.6× 31 0.4× 42 0.6× 46 671
Alton G. Swennes United States 12 268 2.0× 127 1.4× 56 0.7× 69 0.9× 80 1.2× 23 716
Renata Godlewska Poland 14 170 1.3× 81 0.9× 90 1.2× 57 0.8× 25 0.4× 27 529
Kelsey M. Wheeler United States 10 349 2.6× 49 0.6× 37 0.5× 42 0.6× 27 0.4× 14 646
Alan Champion Australia 12 213 1.6× 49 0.6× 37 0.5× 62 0.8× 45 0.7× 19 463

Countries citing papers authored by Seth D. Nydam

Since Specialization
Citations

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

Fields of papers citing papers by Seth D. Nydam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Seth D. Nydam. 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 Seth D. Nydam. The network helps show where Seth D. Nydam may publish in the future.

Co-authorship network of co-authors of Seth D. Nydam

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

All Works

9 of 9 papers shown
1.
Yang, Jiseon, Jennifer Barrila, Eric A. Nauman, et al.. (2024). Incremental increases in physiological fluid shear progressively alter pathogenic phenotypes and gene expression in multidrug resistant Salmonella. Gut Microbes. 16(1). 2357767–2357767. 1 indexed citations
2.
Barrila, Jennifer, Jiseon Yang, Shanshan Yang, et al.. (2022). Spaceflight Analogue Culture Enhances the Host-Pathogen Interaction Between Salmonella and a 3-D Biomimetic Intestinal Co-Culture Model. Frontiers in Cellular and Infection Microbiology. 12. 705647–705647. 11 indexed citations
3.
Barrila, Jennifer, Aurélie Crabbé, Jiseon Yang, et al.. (2018). Modeling Host-Pathogen Interactions in the Context of the Microenvironment: Three-Dimensional Cell Culture Comes of Age. Infection and Immunity. 86(11). 122 indexed citations
4.
Burbick, Claire R., et al.. (2018). Use of Matrix-Assisted Laser Desorption Ionization Time-of-Flight Mass Spectrometry for the Identification of Pathogenic Vibrio in Fish. Journal of Aquatic Animal Health. 30(4). 332–338. 3 indexed citations
5.
Barrila, Jennifer, Jiseon Yang, Aurélie Crabbé, et al.. (2017). Three-dimensional organotypic co-culture model of intestinal epithelial cells and macrophages to study Salmonella enterica colonization patterns. npj Microgravity. 3(1). 10–10. 36 indexed citations
6.
Nydam, Seth D., Devendra H. Shah, & Douglas R. Call. (2014). Transcriptome analysis of Vibrio parahaemolyticus in type III secretion system 1 inducing conditions. Frontiers in Cellular and Infection Microbiology. 4. 1–1. 257 indexed citations
7.
Zhou, Xiaohui, Seth D. Nydam, Jeffrey E. Christensen, et al.. (2012). Identification of Potential Type III Secretion Proteins via Heterologous Expression of Vibrio parahaemolyticus DNA. Applied and Environmental Microbiology. 78(9). 3492–3494. 11 indexed citations
8.
9.
Futse, James E., Kelly A. Brayton, Seth D. Nydam, & Guy H. Palmer. (2009). Generation of Antigenic Variants via Gene Conversion: Evidence for Recombination Fitness Selection at the Locus Level in Anaplasma marginale. Infection and Immunity. 77(8). 3181–3187. 20 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.

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