Montrell Seay

757 total citations
10 papers, 553 citations indexed

About

Montrell Seay is a scholar working on Molecular Biology, Immunology and Epidemiology. According to data from OpenAlex, Montrell Seay has authored 10 papers receiving a total of 553 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Immunology and 2 papers in Epidemiology. Recurrent topics in Montrell Seay's work include Immune Cell Function and Interaction (4 papers), Autophagy in Disease and Therapy (2 papers) and Plant-Microbe Interactions and Immunity (2 papers). Montrell Seay is often cited by papers focused on Immune Cell Function and Interaction (4 papers), Autophagy in Disease and Therapy (2 papers) and Plant-Microbe Interactions and Immunity (2 papers). Montrell Seay collaborates with scholars based in United States, China and Israel. Montrell Seay's co-authors include M Snyder, Savithramma P. Dinesh‐Kumar, Mark Gerstein, George V. Popescu, Sorina C. Popescu, S.P. Dinesh-Kumar, Sherman M. Weissman, Shalaka Patel, David Tuck and Lian Jin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Genome biology.

In The Last Decade

Montrell Seay

10 papers receiving 547 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Montrell Seay United States 9 349 265 66 55 32 10 553
Scott W. Van Arsdell United States 9 760 2.2× 160 0.6× 25 0.4× 45 0.8× 49 1.5× 10 883
Mercè Pamblanco Spain 13 554 1.6× 81 0.3× 39 0.6× 31 0.6× 32 1.0× 19 661
Joanna M. Risk Australia 9 371 1.1× 289 1.1× 19 0.3× 25 0.5× 57 1.8× 10 612
Davin R. Jensen United States 15 294 0.8× 137 0.5× 16 0.2× 73 1.3× 19 0.6× 24 508
David E. Mold United States 11 238 0.7× 62 0.2× 31 0.5× 26 0.5× 17 0.5× 16 401
Shao-bing Hua United States 14 408 1.2× 67 0.3× 149 2.3× 57 1.0× 39 1.2× 22 583
David R. Setzer United States 16 1.0k 2.9× 72 0.3× 35 0.5× 59 1.1× 49 1.5× 26 1.2k
Jay Danao United States 6 462 1.3× 353 1.3× 21 0.3× 221 4.0× 14 0.4× 8 752
Mary Woodworth-Gutai United States 14 497 1.4× 188 0.7× 43 0.7× 24 0.4× 17 0.5× 22 681
Guillaume Boissy France 5 363 1.0× 122 0.5× 51 0.8× 37 0.7× 41 1.3× 5 466

Countries citing papers authored by Montrell Seay

Since Specialization
Citations

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

Fields of papers citing papers by Montrell Seay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Montrell Seay. 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 Montrell Seay. The network helps show where Montrell Seay may publish in the future.

Co-authorship network of co-authors of Montrell Seay

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

All Works

10 of 10 papers shown
1.
Mohsen, Hussein, Vignesh Gunasekharan, Tao Qing, et al.. (2021). Network propagation-based prioritization of long tail genes in 17 cancer types. Genome biology. 22(1). 287–287. 12 indexed citations
2.
Chung, Young Gie, Montrell Seay, John D. Elsworth, & D. Eugene Redmond. (2020). Generation of Pluripotent Stem Cells Using Somatic Cell Nuclear Transfer and Induced Pluripotent Somatic Cells from African Green Monkeys. Stem Cells and Development. 29(19). 1294–1307. 3 indexed citations
3.
Yang, Jennifer, Yoshiaki Tanaka, Montrell Seay, et al.. (2016). Single cell transcriptomics reveals unanticipated features of early hematopoietic precursors. Nucleic Acids Research. 45(3). gkw1214–gkw1214. 34 indexed citations
4.
Canaan, Allon, Jason DeFuria, Vincent Schultz, et al.. (2014). Extended lifespan and reduced adiposity in mice lacking the FAT10 gene. Proceedings of the National Academy of Sciences. 111(14). 5313–5318. 48 indexed citations
5.
Wu, Jia Qian, Montrell Seay, Vincent Schulz, et al.. (2012). Tcf7 Is an Important Regulator of the Switch of Self-Renewal and Differentiation in a Multipotential Hematopoietic Cell Line. PLoS Genetics. 8(3). e1002565–e1002565. 78 indexed citations
6.
Seay, Montrell, et al.. (2009). Something Old, Something New: Plant Innate Immunity and Autophagy. Current topics in microbiology and immunology. 335. 287–306. 22 indexed citations
7.
Popescu, Sorina C., George V. Popescu, Montrell Seay, et al.. (2007). Differential binding of calmodulin-related proteins to their targets revealed through high-density Arabidopsis protein microarrays. Proceedings of the National Academy of Sciences. 104(11). 4730–4735. 292 indexed citations
8.
Seay, Montrell & S.P. Dinesh-Kumar. (2007). Autophagy Takes Its TOLL on Innate Immunity. Cell Host & Microbe. 2(2). 69–70. 9 indexed citations
9.
Seay, Montrell, Shalaka Patel, & Savithramma P. Dinesh‐Kumar. (2006). Autophagy and plant innate immunity. Cellular Microbiology. 8(6). 899–906. 39 indexed citations
10.
Seay, Montrell & S.P. Dinesh-Kumar. (2005). Life After Death: Are Autophagy Genes Involved in Cell Death and Survival During Plant Innate Immune Responses?. Autophagy. 1(3). 185–186. 16 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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