Scott S. Figdore

575 total citations
8 papers, 381 citations indexed

About

Scott S. Figdore is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Scott S. Figdore has authored 8 papers receiving a total of 381 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Plant Science, 2 papers in Molecular Biology and 1 paper in Genetics. Recurrent topics in Scott S. Figdore's work include Plant Disease Resistance and Genetics (4 papers), Plant Stress Responses and Tolerance (3 papers) and Plant Micronutrient Interactions and Effects (2 papers). Scott S. Figdore is often cited by papers focused on Plant Disease Resistance and Genetics (4 papers), Plant Stress Responses and Tolerance (3 papers) and Plant Micronutrient Interactions and Effects (2 papers). Scott S. Figdore collaborates with scholars based in United States. Scott S. Figdore's co-authors include M. K. Slocum, W. C. Kennard, T. C. Osborn, Jon Y. Suzuki, Keming Song, M. E. Ferreira, Paul H. Williams, W. H. Gabelman, G. C. Gerloff and Gretchen King and has published in prestigious journals such as Plant and Soil, Theoretical and Applied Genetics and Euphytica.

In The Last Decade

Scott S. Figdore

8 papers receiving 339 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Scott S. Figdore United States	6	351	150	112	14	13	8	381
J. Gai China	9	361 1.0×	125 0.8×	101 0.9×	8 0.6×	10 0.8×	15	420
Iulian Gabur Germany	8	245 0.7×	139 0.9×	111 1.0×	3 0.2×	13 1.0×	14	292
Ghulam Wassan China	8	320 0.9×	147 1.0×	81 0.7×	24 1.7×	13 1.0×	13	366
Livia Moura Souza Brazil	9	134 0.4×	129 0.9×	115 1.0×	5 0.4×	5 0.4×	11	245
Luhuan Ye China	10	363 1.0×	196 1.3×	82 0.7×	3 0.2×	7 0.5×	16	406
Guangzhi Mao China	9	261 0.7×	90 0.6×	37 0.3×	55 3.9×	6 0.5×	15	299
Erica Jewell Australia	8	157 0.4×	113 0.8×	72 0.6×	2 0.1×	5 0.4×	8	201
Rajeev Ranjan India	8	321 0.9×	121 0.8×	54 0.5×	5 0.4×	11 0.8×	16	355
Zhengrui Qin China	8	361 1.0×	222 1.5×	36 0.3×	5 0.4×	5 0.4×	11	385
Yili Zhuang China	7	318 0.9×	166 1.1×	80 0.7×	3 0.2×	6 0.5×	11	353

Countries citing papers authored by Scott S. Figdore

Since Specialization

Citations

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

Fields of papers citing papers by Scott S. Figdore

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Scott S. Figdore. 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 Scott S. Figdore. The network helps show where Scott S. Figdore may publish in the future.

Co-authorship network of co-authors of Scott S. Figdore

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

All Works

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8 of 8 papers shown

1.

Kennard, W. C., M. K. Slocum, Scott S. Figdore, & T. C. Osborn. (1994). Genetic analysis of morphological variation in Brassica oleracea using molecular markers. Theoretical and Applied Genetics. 87(6). 721–732. 46 indexed citations

2.

Figdore, Scott S., M. E. Ferreira, M. K. Slocum, & Paul H. Williams. (1993). Association of RFLP markers with trait loci affecting clubroot resistance and morphological characters in Brassica oleracea L.. Euphytica. 69(1-2). 33–44. 51 indexed citations

3.

Slocum, M. K., Scott S. Figdore, W. C. Kennard, Jon Y. Suzuki, & T. C. Osborn. (1990). Linkage arrangement of restriction fragment length polymorphism loci in Brassica oleracea. Theoretical and Applied Genetics. 80(1). 57–64. 159 indexed citations

4.

King, Gretchen, Scott S. Figdore, T. Helentjaris, et al.. (1990). Applications of restriction fragment length polymorphisms (RFLPs) to plant improvement.. 31. 277–284. 1 indexed citations

5.

Figdore, Scott S., W. H. Gabelman, & G. C. Gerloff. (1989). Inheritance of Potassium Efficiency, Sodium Substitution Capacity, and Sodium Accumulation in Tomatoes Grown Under Low-potassium Stress. Journal of the American Society for Horticultural Science. 114(2). 322–327. 19 indexed citations

6.

Figdore, Scott S., G. C. Gerloff, & W. H. Gabelman. (1989). The effect of increasing NaCl levels on the potassium utilization efficiency of tomatoes grown under low-K stress. Plant and Soil. 119(2). 295–303. 4 indexed citations

7.

Figdore, Scott S., W. C. Kennard, Keming Song, M. K. Slocum, & T. C. Osborn. (1988). Assessment of the degree of restriction fragment length polymorphism in Brassica. Theoretical and Applied Genetics. 75(6). 833–840. 87 indexed citations

8.

Figdore, Scott S., W. H. Gabelman, & G. C. Gerloff. (1987). The accumulation and distribution of sodium in tomato strains differing in potassium efficiency when grown under low-K stress. Plant and Soil. 99(1). 85–92. 14 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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