Sam Cartinhour

1.9k total citations · 1 hit paper
15 papers, 1.3k citations indexed

About

Sam Cartinhour is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Sam Cartinhour has authored 15 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Plant Science, 6 papers in Molecular Biology and 4 papers in Genetics. Recurrent topics in Sam Cartinhour's work include Plant Pathogenic Bacteria Studies (8 papers), Plant-Microbe Interactions and Immunity (7 papers) and Legume Nitrogen Fixing Symbiosis (5 papers). Sam Cartinhour is often cited by papers focused on Plant Pathogenic Bacteria Studies (8 papers), Plant-Microbe Interactions and Immunity (7 papers) and Legume Nitrogen Fixing Symbiosis (5 papers). Sam Cartinhour collaborates with scholars based in United States, Netherlands and United Kingdom. Sam Cartinhour's co-authors include Susan R. McCouch, William D. Park, Svetlana V. Temnykh, Nathanael R. Hauck, Takashige Ishii, Leonard Lipovich, David J. Schneider, Genevieve DeClerck, Steven V. Beer and Matthew P. DeLisa and has published in prestigious journals such as PLoS ONE, Applied and Environmental Microbiology and PLANT PHYSIOLOGY.

In The Last Decade

Sam Cartinhour

15 papers receiving 1.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Mapping and genome organization of microsatellite sequences in rice (Oryza sativa L.)

2000 790 citations Svetlana V. Temnykh, William D. Park et al. Theoretical and Applied Genetics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sam Cartinhour United States	10	1.1k	682	337	64	42	15	1.3k
Kevin B. Alpert United States	8	1.4k 1.2×	640 0.9×	788 2.3×	35 0.5×	46 1.1×	10	1.6k
B. C. Viraktamath India	21	1.1k 1.0×	369 0.5×	239 0.7×	79 1.2×	50 1.2×	58	1.2k
Britta Schulz Germany	19	979 0.9×	333 0.5×	378 1.1×	44 0.7×	63 1.5×	29	1.1k
Hyeonso Ji South Korea	16	796 0.7×	334 0.5×	207 0.6×	65 1.0×	47 1.1×	56	904
S. J. Wall United States	6	939 0.8×	646 0.9×	183 0.5×	39 0.6×	85 2.0×	8	1.1k
Xinli Sun China	15	1.9k 1.7×	975 1.4×	348 1.0×	103 1.6×	43 1.0×	35	2.1k
Jan Tiväng United States	7	726 0.6×	341 0.5×	219 0.6×	69 1.1×	107 2.5×	7	863
Josh Clevenger United States	21	1.5k 1.4×	295 0.4×	608 1.8×	45 0.7×	31 0.7×	59	1.7k
Umesh R. Rosyara United States	19	984 0.9×	313 0.5×	284 0.8×	87 1.4×	34 0.8×	31	1.1k
Vladimir Kanazin United States	13	884 0.8×	196 0.3×	238 0.7×	69 1.1×	80 1.9×	17	990

Countries citing papers authored by Sam Cartinhour

Since Specialization

Citations

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

Fields of papers citing papers by Sam Cartinhour

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sam Cartinhour

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

All Works

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15 of 15 papers shown

Bao, Zhongmeng, Sam Cartinhour, & Bryan Swingle. (2012). Substrate and Target Sequence Length Influence RecTEPsy Recombineering Efficiency in Pseudomonas syringae. PLoS ONE. 7(11). e50617–e50617. 16 indexed citations

Markel, Eric, Bronwyn G. Butcher, Christopher R. Myers, et al.. (2012). Regulons of Three Pseudomonas syringae pv. tomato DC3000 Iron Starvation Sigma Factors. Applied and Environmental Microbiology. 79(2). 725–727. 12 indexed citations

Bocsanczy, Ana Maria, David J. Schneider, Genevieve DeClerck, Sam Cartinhour, & Steven V. Beer. (2011). HopX1 in Erwinia amylovora Functions as an Avirulence Protein in Apple and Is Regulated by HrpL. Journal of Bacteriology. 194(3). 553–560. 16 indexed citations

Markel, Eric, Bronwyn G. Butcher, Christopher R. Myers, et al.. (2011). An Extracytoplasmic Function Sigma Factor-Mediated Cell Surface Signaling System in Pseudomonas syringae pv. tomato DC3000 Regulates Gene Expression in Response to Heterologous Siderophores. Journal of Bacteriology. 193(20). 5775–5783. 25 indexed citations

Sebaihia, Mohammed, Ana Maria Bocsanczy, B. S. Biehl, et al.. (2010). Complete Genome Sequence of the Plant Pathogen Erwinia amylovora Strain ATCC 49946. Journal of Bacteriology. 192(7). 2020–2021. 103 indexed citations

Schneider, David J., et al.. (2009). The Effect of Target Vector Selection on the Invariance of Classifier Performance Measures. IEEE Transactions on Neural Networks. 20(5). 745–757. 1 indexed citations

Bocsanczy, Ana Maria, Steven V. Beer, Nicole T. Perna, et al.. (2008). CONTRIBUTIONS OF THE GENOME SEQUENCE OF ERWINIA AMYLOVORA TO THE FIRE BLIGHT COMMUNITY. Acta Horticulturae. 163–170. 9 indexed citations

Schneider, David J., et al.. (2006). Computational identi?cation and characterization of Type III secretion substrates. 191–192. 2 indexed citations

Bronstein, Philip A., et al.. (2005). Identification of a Twin-Arginine Translocation System in Pseudomonas syringae pv. tomato DC3000 and Its Contribution to Pathogenicity and Fitness. Journal of Bacteriology. 187(24). 8450–8461. 63 indexed citations

10.

Ware, Doreen, Pankaj Jaiswal, Junjian Ni, et al.. (2002). Gramene, a Tool for Grass Genomics. PLANT PHYSIOLOGY. 130(4). 1606–1613. 133 indexed citations

11.

Temnykh, Svetlana V., William D. Park, Sam Cartinhour, et al.. (2000). Mapping and genome organization of microsatellite sequences in rice (Oryza sativa L.). Theoretical and Applied Genetics. 100(5). 697–712. 790 indexed citations breakdown →

12.

Cartinhour, Sam, et al.. (1998). JADE: An approach for interconnecting bioinformatics databases. PubMed. 209(1-2). 39–43. 5 indexed citations

13.

Stein, Lincoln, Sam Cartinhour, Danielle Thierry‐Mieg, & Jean Thierry‐Mieg. (1998). JADE: An approach for interconnecting bioinformatics databases. Gene. 209(1-2). GC39–GC43. 5 indexed citations

14.

Hauge, Brian M., Susan Hanley, Sam Cartinhour, et al.. (1993). An integrated genetic/RFLP map of the Arabidopsis thaliana genome. The Plant Journal. 3(5). 745–754. 7 indexed citations

15.

Hauge, Brian M., Susan Hanley, Sam Cartinhour, et al.. (1993). An integrated genetic/RFLP map of the Arabidopsis thaliana genome. The Plant Journal. 3(5). 745–754. 122 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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