Samuel G. Markell

2.3k total citations
76 papers, 1.1k citations indexed

About

Samuel G. Markell is a scholar working on Plant Science, Molecular Biology and Cell Biology. According to data from OpenAlex, Samuel G. Markell has authored 76 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Plant Science, 37 papers in Molecular Biology and 28 papers in Cell Biology. Recurrent topics in Samuel G. Markell's work include Yeasts and Rust Fungi Studies (28 papers), Plant Pathogens and Fungal Diseases (28 papers) and Sunflower and Safflower Cultivation (25 papers). Samuel G. Markell is often cited by papers focused on Yeasts and Rust Fungi Studies (28 papers), Plant Pathogens and Fungal Diseases (28 papers) and Sunflower and Safflower Cultivation (25 papers). Samuel G. Markell collaborates with scholars based in United States, Australia and Canada. Samuel G. Markell's co-authors include T. J. Gulya, Febina M. Mathew, E. A. Milus, Lili Qi, L. J. Francl, Carl A. Bradley, Brent S. Hulke, G. J., Rubella S. Goswami and James G. Jordahl and has published in prestigious journals such as Scientific Reports, Frontiers in Plant Science and Annual Review of Phytopathology.

In The Last Decade

Samuel G. Markell

72 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Samuel G. Markell United States	18	1.1k	414	369	80	54	76	1.1k
T. J. Gulya United States	28	1.8k 1.7×	229 0.6×	827 2.2×	127 1.6×	40 0.7×	122	1.9k
J. T. Yorinori Brazil	12	1.1k 1.0×	363 0.9×	472 1.3×	44 0.6×	35 0.6×	37	1.2k
Peigao Luo China	22	1.3k 1.2×	182 0.4×	324 0.9×	157 2.0×	52 1.0×	87	1.4k
Adalberto C. Café‐Filho Brazil	18	803 0.7×	452 1.1×	112 0.3×	38 0.5×	104 1.9×	70	860
C. D. Cruz United States	14	642 0.6×	203 0.5×	86 0.2×	49 0.6×	52 1.0×	61	682
Dietrich Ewald Germany	11	440 0.4×	114 0.3×	310 0.8×	67 0.8×	35 0.6×	39	583
Frank S. Hay United States	17	639 0.6×	457 1.1×	144 0.4×	24 0.3×	165 3.1×	57	712
M. J. Ryley Australia	15	544 0.5×	231 0.6×	103 0.3×	76 0.9×	236 4.4×	67	652
Syama Chatterton Canada	17	736 0.7×	354 0.9×	95 0.3×	59 0.7×	50 0.9×	59	793
M. Variar India	16	802 0.7×	96 0.2×	174 0.5×	41 0.5×	31 0.6×	45	854

Countries citing papers authored by Samuel G. Markell

Since Specialization

Citations

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

Fields of papers citing papers by Samuel G. Markell

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Samuel G. Markell. 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 Samuel G. Markell. The network helps show where Samuel G. Markell may publish in the future.

Co-authorship network of co-authors of Samuel G. Markell

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

All Works

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20 of 20 papers shown

Ryley, M. J., Robert M. Harveson, T. J. Gulya, et al.. (2025). Sunflower Head Rot Diseases: Botrytis Head Rot and Bacterial Head Rot. Plant Health Progress. 26(3). 385–393.

Gillen, Anne M., et al.. (2024). Greenhouse Results Suggest that Disease Severity in Soybean ( Glycine max ), Caused by Diaporthe longicolla as Both a Stem and Seed Pathogen, May Not Be Correlated. Plant Health Progress. 26(1). 12–19.

Yan, Guiping, et al.. (2021). Characterization of Virulence Phenotypes of Soybean Cyst Nematode (Heterodera glycines) Populations in North Dakota. Phytopathology. 111(11). 2100–2109. 12 indexed citations

Ryley, M. J., T. J. Gulya, Febina M. Mathew, et al.. (2021). Sunflower Wilt Diseases: Charcoal Rot, Phialophora Yellows, and Verticillium Wilt. Plant Health Progress. 22(1). 75–85. 2 indexed citations

Underwood, William, Charles Block, T. J. Gulya, et al.. (2020). A Greenhouse Method to Evaluate Sunflower Quantitative Resistance to Basal Stalk Rot Caused by Sclerotinia sclerotiorum. Plant Disease. 105(2). 464–472. 12 indexed citations

Gulya, T. J., et al.. (2020). Determination of Virulence Phenotypes of Plasmopara halstedii in the United States. Plant Disease. 104(11). 2823–2831. 13 indexed citations

Nelson, Berlin D., et al.. (2019). First Report of Sudden Death Syndrome of Soybean Caused by Fusarium virguliforme in North Dakota. Plant Disease. 104(2). 581–581. 2 indexed citations

J., G., Qijian Song, Samuel G. Markell, & Lili Qi. (2018). High-throughput genotyping-by-sequencing facilitates molecular tagging of a novel rust resistance gene, R 15 , in sunflower (Helianthus annuus L.). Theoretical and Applied Genetics. 131(7). 1423–1432. 18 indexed citations

Mathew, Febina M., Lisa A. Castlebury, Kholoud M. Alananbeh, et al.. (2015). Identification of Diaporthe longicolla on Dry Edible Pea, Dry Edible Bean, and Soybean in North Dakota. Plant Health Progress. 16(2). 71–72. 8 indexed citations

10.

Harveson, Robert M., et al.. (2014). First Report of Bacterial Pustule on Soybeans in North Dakota. Plant Health Progress. 15(4). 155–156. 6 indexed citations

11.

Gulya, T. J., Hans Kandel, Marcia McMullen, et al.. (2013). Prevalence and Incidence of Sunflower Downy Mildew in North Dakota Between 2001 and 2011. Plant Health Progress. 14(1). 8 indexed citations

12.

Gong, Lu, Brent S. Hulke, T. J. Gulya, Samuel G. Markell, & Lili Qi. (2012). Molecular tagging of a novel rust resistance gene R 12 in sunflower (Helianthus annuus L.). Theoretical and Applied Genetics. 126(1). 93–99. 28 indexed citations

13.

Mathew, Febina M., et al.. (2011). Reevaluation of Phomopsis species affecting sunflowers in the United States. Phytopathology. 101(6). 115–116. 4 indexed citations

14.

Harveson, Robert M., Samuel G. Markell, Rubella S. Goswami, et al.. (2011). Ascochyta Blight of Chickpeas. Plant Health Progress. 12(1).

15.

Harveson, Robert M., Weidong Chen, Frank M. Dugan, et al.. (2011). Ascochyta Blight of Peas. Plant Health Progress. 12(1). 16 indexed citations

16.

Denton, Anne, et al.. (2011). A resource for the in silico identification of fungal polyketide synthases from predicted fungal proteomes. Molecular Plant Pathology. 13(5). 494–507. 1 indexed citations

17.

Gulya, T. J., et al.. (2010). First Report of Charcoal Rot of Sunflower in Minnesota, USA. Plant Health Progress. 11(1). 3 indexed citations

18.

Friskop, Andrew, Samuel G. Markell, & T. J. Gulya. (2009). Downy Mildew of Sunflower. NDSU Repository (North Dakota State University). 23 indexed citations

19.

McMullen, Marcia, Samuel G. Markell, & J. B. Rasmussen. (2008). Rust Diseases of Wheat in North Dakota. NDSU Repository (North Dakota State University). 2 indexed citations

20.

Markell, Samuel G. & E. A. Milus. (2008). Emergence of a Novel Population of Puccinia striiformis f. sp. tritici in Eastern United States. Phytopathology. 98(6). 632–639. 77 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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