Steve Beebe

4.5k total citations
50 papers, 2.9k citations indexed

About

Steve Beebe is a scholar working on Plant Science, Agronomy and Crop Science and General Agricultural and Biological Sciences. According to data from OpenAlex, Steve Beebe has authored 50 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Plant Science, 14 papers in Agronomy and Crop Science and 4 papers in General Agricultural and Biological Sciences. Recurrent topics in Steve Beebe's work include Plant pathogens and resistance mechanisms (32 papers), Agronomic Practices and Intercropping Systems (14 papers) and Legume Nitrogen Fixing Symbiosis (14 papers). Steve Beebe is often cited by papers focused on Plant pathogens and resistance mechanisms (32 papers), Agronomic Practices and Intercropping Systems (14 papers) and Legume Nitrogen Fixing Symbiosis (14 papers). Steve Beebe collaborates with scholars based in Colombia, United States and Australia. Steve Beebe's co-authors include Matthew W. Blair, Phillip N. Miklas, James D. Kelly, Jonathan P. Lynch, Xiaolong Yan, Joe Tohmé, Hong Liao, Idupulapati M. Rao, Myriam C. Duque and Elad Tako and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and PLANT PHYSIOLOGY.

In The Last Decade

Steve Beebe

46 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Steve Beebe Colombia 25 2.5k 484 166 162 136 50 2.9k
Frederick E. Below United States 35 3.1k 1.3× 1.8k 3.8× 140 0.8× 375 2.3× 104 0.8× 100 3.9k
Matthias Wissuwa Japan 43 5.8k 2.4× 537 1.1× 698 4.2× 419 2.6× 156 1.1× 123 6.2k
Zhiqiang Cheng United States 24 1.0k 0.4× 56 0.1× 26 0.2× 140 0.9× 184 1.4× 84 1.6k
Shuo Jiao China 31 1.2k 0.5× 154 0.3× 177 1.1× 892 5.5× 39 0.3× 97 3.1k
A. Pattanayak India 23 1.2k 0.5× 166 0.3× 164 1.0× 347 2.1× 178 1.3× 110 1.9k
Wu United Kingdom 24 1.3k 0.5× 157 0.3× 119 0.7× 431 2.7× 68 0.5× 363 2.4k
Madan Pal India 30 2.4k 1.0× 311 0.6× 143 0.9× 355 2.2× 83 0.6× 152 2.8k
Kai Sonder Mexico 29 1.9k 0.8× 764 1.6× 322 1.9× 263 1.6× 66 0.5× 80 3.1k
Guodao Liu China 21 1.0k 0.4× 189 0.4× 118 0.7× 247 1.5× 23 0.2× 103 1.5k
Folkard Asch Germany 28 3.1k 1.3× 386 0.8× 193 1.2× 316 2.0× 86 0.6× 115 3.8k

Countries citing papers authored by Steve Beebe

Since Specialization
Citations

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

Fields of papers citing papers by Steve Beebe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steve Beebe

This figure shows the co-authorship network connecting the top 25 collaborators of Steve Beebe. A scholar is included among the top collaborators of Steve 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 Steve Beebe. Steve 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
1.
2.
Terán, Jorge C. Berny Mier y, et al.. (2024). Identification of drought and heat tolerant tepary beans in a multi‐environment trial study. Crop Science. 64(6). 3399–3416.
3.
Lowe, C. C., Milan O. Urban, Héctor Fabio Buendía, et al.. (2023). High Temperature Tolerance in a Novel, High-Quality Phaseolus vulgaris Breeding Line Is Due to Maintenance of Pollen Viability and Successful Germination on the Stigma. Plants. 12(13). 2491–2491. 3 indexed citations
4.
5.
Lobaton, Juan David, et al.. (2019). Fine-mapping of angular leaf spot resistance gene Phg-2 in common bean and development of molecular breeding tools. Theoretical and Applied Genetics. 132(7). 2003–2016. 14 indexed citations
6.
Brychkova, Galina, Julián Ramírez-Villegas, Peter C. McKeown, et al.. (2018). Reduction in nutritional quality and growing area suitability of common bean under climate change induced drought stress in Africa. Scientific Reports. 8(1). 16187–16187. 76 indexed citations
7.
Sivasankar, Shoba, et al.. (2018). Achieving sustainable cultivation of grain legumes Volume 2. 2 indexed citations
8.
Lobaton, Juan David, Tamara Miller, Daniel Ariza-Suárez, et al.. (2018). Resequencing of Common Bean Identifies Regions of Inter–Gene Pool Introgression and Provides Comprehensive Resources for Molecular Breeding. The Plant Genome. 11(2). 56 indexed citations
9.
Glahn, Raymond P., Elad Tako, Jonathan J. Hart, et al.. (2017). Iron Bioavailability Studies of the First Generation of Iron-Biofortified Beans Released in Rwanda. Nutrients. 9(7). 787–787. 31 indexed citations
10.
11.
Tako, Elad, Steve Beebe, Spenser Reed, Erick Boy, & Raymond P. Glahn. (2013). Biofortified Black Beans (Phaseolus vulgaris L.) in a Maize and Bean Diet Provide More Bioavailable Iron to Chickens (Gallus gallus) Than Standard Black Beans. The FASEB Journal. 27(S1). 1 indexed citations
12.
Katungi, Enid, et al.. (2011). Relative importance of common bean attributes and variety demand in the drought areas of Kenya. Journal of Development and Agricultural Economics. 3(8). 411–422. 21 indexed citations
13.
Drevon, J. J., Nora Alkama, Adelson Paulo Araújo, et al.. (2011). Nodular diagnosis for ecological engineering of the symbiotic nitrogen fixation with legumes. Procedia Environmental Sciences. 9. 40–46. 298 indexed citations
14.
Tako, Elad, José Moisés Laparra, Raymond P. Glahn, et al.. (2008). Biofortified Black Beans in a Maize and Bean Diet Provide More Bioavailable Iron to Piglets Than Standard Black Beans. Journal of Nutrition. 139(2). 305–309. 34 indexed citations
15.
Fairweather‐Tait, Susan J., Sean Lynch, Christine Hotz, et al.. (2005). The Usefulness of in vitro Models to Predict the Bioavailability of Iron and Zinc: A Consensus Statement From the HarvestPlus Expert Consultation. International Journal for Vitamin and Nutrition Research. 75(6). 371–374. 87 indexed citations
16.
Remans, Roseline, Anja Croonenborghs, Ellen Luyten, et al.. (2004). Chlorophyll meter as a tool to evaluate symbiosis in common bean (Phaseolus vulgaris L.) under low and high P conditions. 1 indexed citations
17.
Blair, Matthew W., et al.. (2004). Genotypic Variation in Climbing Ability Traits in a Common Bean RIL Population. 2 indexed citations
18.
López, Camilo, Iván F. Acosta, Carlos Jara‐Gutiérrez, et al.. (2003). Identifying Resistance Gene Analogs Associated With Resistances to Different Pathogens in Common Bean. Phytopathology. 93(1). 88–95. 99 indexed citations
19.
Yan, Xiaolong, et al.. (2001). Induction of a Major Leaf Acid Phosphatase Does Not Confer Adaptation to Low Phosphorus Availability in Common Bean. PLANT PHYSIOLOGY. 125(4). 1901–1911. 94 indexed citations
20.
Beebe, Steve & Fabio Pedraza. (1989). Perspectivas para el uso de marcadores moleculares en el mejoramiento del frijol. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 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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