Stephen J. Molnar

2.4k total citations
49 papers, 1.7k citations indexed

About

Stephen J. Molnar is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Stephen J. Molnar has authored 49 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Plant Science, 10 papers in Molecular Biology and 9 papers in Genetics. Recurrent topics in Stephen J. Molnar's work include Wheat and Barley Genetics and Pathology (27 papers), Plant Disease Resistance and Genetics (20 papers) and Genetic Mapping and Diversity in Plants and Animals (9 papers). Stephen J. Molnar is often cited by papers focused on Wheat and Barley Genetics and Pathology (27 papers), Plant Disease Resistance and Genetics (20 papers) and Genetic Mapping and Diversity in Plants and Animals (9 papers). Stephen J. Molnar collaborates with scholars based in Canada, United States and Australia. Stephen J. Molnar's co-authors include George Fedak, Elroy R. Cober, Martin Charette, G. A. Penner, Charlene P. Wight, Nicholas A. Tinker, H. D. Voldeng, G. J. Scoles, Louise S. O’Donoughue and Roger P. Wise and has published in prestigious journals such as Bioinformatics, Journal of Agricultural and Food Chemistry and Scientific Reports.

In The Last Decade

Stephen J. Molnar

46 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stephen J. Molnar Canada 21 1.4k 404 337 136 79 49 1.7k
C. Benito Spain 22 1.4k 1.0× 394 1.0× 255 0.8× 63 0.5× 139 1.8× 84 1.7k
T. Lelley Austria 24 1.7k 1.2× 700 1.7× 547 1.6× 173 1.3× 98 1.2× 72 2.0k
G. A. Penner Canada 15 813 0.6× 270 0.7× 203 0.6× 54 0.4× 53 0.7× 24 967
Frédéric Choulet France 22 1.8k 1.2× 565 1.4× 639 1.9× 112 0.8× 50 0.6× 47 2.0k
Catalina Romero Lopes Brazil 22 1.1k 0.8× 355 0.9× 491 1.5× 88 0.6× 73 0.9× 60 1.5k
Leah Clissold United Kingdom 12 852 0.6× 261 0.6× 710 2.1× 68 0.5× 51 0.6× 13 1.3k
Alexandra M. Casa United States 12 836 0.6× 557 1.4× 222 0.7× 342 2.5× 46 0.6× 13 1.1k
T. J. Martin United States 30 2.3k 1.6× 130 0.3× 283 0.8× 338 2.5× 84 1.1× 85 2.4k
S. E. Mitchell United States 10 1.2k 0.9× 761 1.9× 273 0.8× 208 1.5× 118 1.5× 14 1.5k
Steve Wanamaker United States 18 1.6k 1.1× 345 0.9× 723 2.1× 63 0.5× 38 0.5× 24 2.0k

Countries citing papers authored by Stephen J. Molnar

Since Specialization
Citations

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

Fields of papers citing papers by Stephen J. Molnar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen J. Molnar

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen J. Molnar. A scholar is included among the top collaborators of Stephen J. Molnar 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 Stephen J. Molnar. Stephen J. Molnar 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.
Charette, Martin, Malcolm J. Morrison, Kangfu Yu, et al.. (2022). Novel QTL for Low Seed Cadmium Accumulation in Soybean. Plants. 11(9). 1146–1146. 3 indexed citations
2.
Dick, Kevin, Bahram Samanfar, Elroy R. Cober, et al.. (2020). PIPE4: Fast PPI Predictor for Comprehensive Inter- and Cross-Species Interactomes. Scientific Reports. 10(1). 1390–1390. 20 indexed citations
3.
Samanfar, Bahram, Elroy R. Cober, Martin Charette, et al.. (2019). Genetic Analysis of High Protein Content in ‘AC Proteus’ Related Soybean Populations Using SSR, SNP, DArT and DArTseq Markers. Scientific Reports. 9(1). 19657–19657. 7 indexed citations
4.
Samanfar, Bahram, Stephen J. Molnar, Martin Charette, et al.. (2016). Mapping and identification of a potential candidate gene for a novel maturity locus, E10, in soybean. Theoretical and Applied Genetics. 130(2). 377–390. 126 indexed citations
5.
Pająk, Agnieszka, Stephen J. Molnar, Elroy R. Cober, et al.. (2012). Relationship between asparagine metabolism and protein concentration in soybean seed. Journal of Experimental Botany. 63(8). 3173–3184. 63 indexed citations
6.
Steffenson, Brian J., et al.. (2012). Novel Septoria Speckled Leaf Blotch Resistance Loci in a Barley Doubled-Haploid Population. Phytopathology. 102(7). 683–691. 7 indexed citations
7.
Molnar, Stephen J., et al.. (2012). Comparative mapping of the oat Dw6/dw6 dwarfing locus using NILs and association with vacuolar proton ATPase subunit H. Theoretical and Applied Genetics. 124(6). 1115–1125. 3 indexed citations
8.
Molnar, Stephen J., Roger Wheatcroft, & George Fedak. (2008). RFLP analysis of Hordeum species relationships1. Hereditas. 116. 87–91. 2 indexed citations
9.
Orr, Winson & Stephen J. Molnar. (2007). Development and Mapping of PCR‐Based SCAR and CAPS Markers Linked to Oil QTLs in Oat. Crop Science. 47(2). 848–850. 10 indexed citations
10.
Wight, Charlene P., et al.. (2005). Identification of molecular markers for aluminium tolerance in diploid oat through comparative mapping and QTL analysis. Theoretical and Applied Genetics. 112(2). 222–231. 20 indexed citations
11.
Tinker, Nicholas A., et al.. (2004). EC_oligos: automated and whole-genome primer design for exons within one or between two genomes. Bioinformatics. 20(18). 3668–3669. 4 indexed citations
12.
Molnar, Stephen J., et al.. (2003). Simple sequence repeat (SSR) markers linked toE1,E3,E4, andE7maturity genes in soybean. Genome. 46(6). 1024–1036. 83 indexed citations
13.
Wight, Charlene P., Nicholas A. Tinker, Shahryar F. Kianian, et al.. (2003). A molecular marker map in 'Kanota' × 'Ogle' hexaploid oat (Avenaspp.) enhanced by additional markers and a robust framework. Genome. 46(1). 28–47. 87 indexed citations
14.
Tinker, Nicholas A., et al.. (2002). Genetic and physical mapping ofLrk10-like receptor kinase sequences in hexaploid oat (Avena sativaL.). Genome. 45(1). 100–109. 22 indexed citations
15.
Molnar, Stephen J., et al.. (1995). Restriction fragment analysis of hordein genes in western Canadian two-rowed barleys. Canadian Journal of Plant Science. 75(1). 191–193. 3 indexed citations
16.
Penner, G. A., Amy Bush, Roger P. Wise, et al.. (1993). Reproducibility of random amplified polymorphic DNA (RAPD) analysis among laboratories.. Genome Research. 2(4). 341–345. 302 indexed citations
17.
Penner, G. A., et al.. (1993). Identification of a RAPD marker linked to the oat stem rust gene Pg3. Theoretical and Applied Genetics. 85-85(6-7). 702–705. 59 indexed citations
18.
Molnar, Stephen J., P. K. Gupta, George Fedak, & Roger Wheatcroft. (1989). Ribosomal DNA repeat unit polymorphism in 25 Hordeum species. Theoretical and Applied Genetics. 78(3). 387–392. 59 indexed citations
19.
Molnar, Stephen J., et al.. (1986). Size and quality properties of robinia wood as reflected in its industrial use.. 36(12). 373–379.
20.
Molnar, Stephen J., et al.. (1980). Initiation of totipotent tissue cultures from undeveloped axillary and secondary ears.. 52–53. 1 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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