Stephen Beebe

8.4k total citations · 1 hit paper
128 papers, 5.9k citations indexed

About

Stephen Beebe is a scholar working on Plant Science, Agronomy and Crop Science and Food Science. According to data from OpenAlex, Stephen Beebe has authored 128 papers receiving a total of 5.9k indexed citations (citations by other indexed papers that have themselves been cited), including 118 papers in Plant Science, 38 papers in Agronomy and Crop Science and 12 papers in Food Science. Recurrent topics in Stephen Beebe's work include Plant pathogens and resistance mechanisms (92 papers), Agronomic Practices and Intercropping Systems (38 papers) and Legume Nitrogen Fixing Symbiosis (34 papers). Stephen Beebe is often cited by papers focused on Plant pathogens and resistance mechanisms (92 papers), Agronomic Practices and Intercropping Systems (38 papers) and Legume Nitrogen Fixing Symbiosis (34 papers). Stephen Beebe collaborates with scholars based in Colombia, United States and Australia. Stephen Beebe's co-authors include Idupulapati M. Rao, Matthew W. Blair, Jonathan P. Lynch, Joe Tohmé, José Polanía, César Cajiao, Judith Rengifo, Fabio Pedraza, Xiaolong Yan and M. C. Duque and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Agricultural and Food Chemistry.

In The Last Decade

Stephen Beebe

124 papers receiving 5.6k citations

Hit Papers

Phenotyping common beans for adaptation to drought 2013 2026 2017 2021 2013 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stephen Beebe Colombia 44 5.5k 1.3k 287 258 241 128 5.9k
M. J. Gooding United Kingdom 37 3.5k 0.6× 2.3k 1.7× 509 1.8× 74 0.3× 218 0.9× 126 3.9k
Gyanendra Pratap Singh India 34 3.3k 0.6× 791 0.6× 329 1.1× 108 0.4× 640 2.7× 320 3.9k
Alexey Morgounov Türkiye 27 2.7k 0.5× 908 0.7× 231 0.8× 81 0.3× 517 2.1× 140 3.0k
S. Rajaram Mexico 36 5.0k 0.9× 2.0k 1.5× 346 1.2× 109 0.4× 910 3.8× 110 5.3k
Enrico Francia Italy 32 3.7k 0.7× 762 0.6× 359 1.3× 144 0.6× 823 3.4× 91 4.5k
D. L. McNeil New Zealand 32 2.9k 0.5× 615 0.5× 187 0.7× 245 0.9× 186 0.8× 124 3.7k
Arun Kumar Joshi India 46 5.8k 1.1× 1.3k 1.0× 681 2.4× 128 0.5× 996 4.1× 198 6.3k
Fanjun Chen China 47 4.8k 0.9× 2.2k 1.6× 844 2.9× 156 0.6× 535 2.2× 143 5.4k
Pooran M. Gaur India 51 7.9k 1.4× 805 0.6× 150 0.5× 334 1.3× 681 2.8× 187 8.4k
Patrick F. Byrne United States 32 3.1k 0.6× 614 0.5× 284 1.0× 119 0.5× 848 3.5× 93 3.7k

Countries citing papers authored by Stephen Beebe

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Beebe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen Beebe

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen Beebe. A scholar is included among the top collaborators of Stephen Beebe 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 Beebe. Stephen Beebe 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
2.
Izquierdo, Paulo, James D. Kelly, Stephen Beebe, & Karen A. Cichy. (2023). Combination of meta‐analysis of QTL and GWAS to uncover the genetic architecture of seed yield and seed yield components in common bean. The Plant Genome. 16(2). e20328–e20328. 7 indexed citations
4.
Suárez, Juan Carlos, et al.. (2022). Impact of Web Blight on Photosynthetic Performance of an Elite Common Bean Line in the Western Amazon Region of Colombia. Plants. 11(23). 3238–3238. 1 indexed citations
5.
7.
Sanz‐Sáez, Álvaro, Michael J.W. Maw, José Polanía, et al.. (2019). Using Carbon Isotope Discrimination to Assess Genotypic Differences in Drought Resistance of Parental Lines of Common Bean. Crop Science. 59(5). 2153–2166. 16 indexed citations
8.
Finkelstein, Julia L., Saurabh Mehta, Salvador Villalpando, et al.. (2019). A Randomized Feeding Trial of Iron-Biofortified Beans in School Children in Mexico. Nutrients. 11(2). 381–381. 14 indexed citations
9.
Polanía, José, Charlotte Poschenrieder, Stephen Beebe, & Idupulapati M. Rao. (2016). Effective Use of Water and Increased Dry Matter Partitioned to Grain Contribute to Yield of Common Bean Improved for Drought Resistance. Frontiers in Plant Science. 7. 660–660. 121 indexed citations
10.
Haas, Jere D., Sarah Luna, Mercy Lung’aho, et al.. (2016). Consuming Iron Biofortified Beans Increases Iron Status in Rwandan Women after 128 Days in a Randomized Controlled Feeding Trial. Journal of Nutrition. 146(8). 1586–1592. 139 indexed citations
11.
Polanía, José, et al.. (2012). Caracteristicas morfo-fisiológicas de frijol común (Phaseolus vulgaris L.) relacionadas con la adaptación a sequía. SHILAP Revista de lepidopterología. 13 indexed citations
12.
Rao, Idupulapati M., Peter Wenzl, John W. Miles, et al.. (2008). Advances in developing screening methods and improving aluminum resistance in common bean and Brachiaria. Current Agricultural Science and Technology. 14(4). 569–576. 5 indexed citations
13.
Beebe, Stephen, Idupulapati M. Rao, Jorge Polónia, Miguel Grajales, & César Cajiao. (2008). Improved harvest index in drought resistant common beans and possible effects on combining ability. CGSPace A Repository of Agricultural Research Outputs (Consultative Group for International Agricultural Research). 51. 8–9. 2 indexed citations
14.
Blair, Matthew W., Gloria Iriarte, & Stephen Beebe. (2006). QTL analysis of yield traits in an advanced backcross population derived from a cultivated Andean × wild common bean (Phaseolus vulgaris L.) cross. Theoretical and Applied Genetics. 112(6). 1149–1163. 161 indexed citations
15.
Blair, Matthew W., et al.. (2003). Development of a genome-wide anchored microsatellite map for common bean (Phaseolus vulgaris L.). CGSPace A Repository of Agricultural Research Outputs (Consultative Group for International Agricultural Research). 1 indexed citations
16.
Villegas, Victoria, et al.. (2000). Caracterización molecular de materiales Dura. Revista Palmas. 21. 35–40. 1 indexed citations
17.
Beebe, Stephen, et al.. (1998). A genetic map of common bean combining RFLP, RAPD, SCAR and AFLP markers. CGSPace A Repository of Agricultural Research Outputs (Consultative Group for International Agricultural Research). 41. 95–96. 10 indexed citations
18.
Beebe, Stephen, et al.. (1993). Fast and reliable one- and two-dimensional electrophoretic parameters for phaseolin type identification.. Annual Report of the Bean Improvement Cooperative. Bean Improvement Cooperative. 36. 8–9. 7 indexed citations
19.
Beebe, Stephen, et al.. (1993). Adoption of a "mini-prep" DNA extraction method for RAPD marker analysis in common bean (Phaseolus vulgaris L.).. Annual Report of the Bean Improvement Cooperative. Bean Improvement Cooperative. 36. 10–11. 61 indexed citations
20.
Beebe, Stephen. (1987). Programa de mejoramiento 1981-1986. CGSPace A Repository of Agricultural Research Outputs (Consultative Group for International Agricultural Research).

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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