David B. Langston

1.9k total citations
93 papers, 1.3k citations indexed

About

David B. Langston is a scholar working on Plant Science, Cell Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, David B. Langston has authored 93 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Plant Science, 33 papers in Cell Biology and 12 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in David B. Langston's work include Plant Pathogens and Fungal Diseases (33 papers), Plant Disease Management Techniques (28 papers) and Plant Pathogenic Bacteria Studies (22 papers). David B. Langston is often cited by papers focused on Plant Pathogens and Fungal Diseases (33 papers), Plant Disease Management Techniques (28 papers) and Plant Pathogenic Bacteria Studies (22 papers). David B. Langston collaborates with scholars based in United States, Czechia and India. David B. Langston's co-authors include Ronald D. Gitaitis, R. R. Walcott, Bhabesh Dutta, Katherine L. Stevenson, F. H. Sanders, R. D. Gitaitis, Karen Stevenson, Pingsheng Ji, Richard F. Davis and Kathryne L. Everts and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Applied and Environmental Microbiology.

In The Last Decade

David B. Langston

92 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David B. Langston United States 22 1.2k 504 226 129 81 93 1.3k
D. E. Hershman United States 17 1.7k 1.4× 1.0k 2.1× 177 0.8× 119 0.9× 164 2.0× 28 1.8k
Mohamed F. R. Khan United States 18 900 0.7× 416 0.8× 260 1.2× 43 0.3× 84 1.0× 88 1.0k
Kiersten Wise United States 25 1.6k 1.3× 733 1.5× 256 1.1× 104 0.8× 168 2.1× 82 1.8k
Sofie Landschoot Belgium 20 1.1k 0.9× 429 0.9× 192 0.8× 59 0.5× 135 1.7× 65 1.3k
Analía Perelló Argentina 22 1.3k 1.0× 734 1.5× 194 0.9× 80 0.6× 197 2.4× 74 1.4k
Sebastián A. Stenglein Argentina 22 1.2k 1.0× 649 1.3× 202 0.9× 195 1.5× 237 2.9× 90 1.4k
Olga E. Scholten Netherlands 21 1.2k 1.0× 254 0.5× 72 0.3× 85 0.7× 197 2.4× 50 1.3k
Ilenia Siciliano Italy 18 929 0.8× 302 0.6× 131 0.6× 53 0.4× 170 2.1× 26 1.1k
Pervaiz A. Abbasi Canada 23 1.3k 1.0× 508 1.0× 74 0.3× 80 0.6× 146 1.8× 52 1.4k
G. L. Bateman United Kingdom 21 1.4k 1.1× 712 1.4× 202 0.9× 49 0.4× 74 0.9× 105 1.4k

Countries citing papers authored by David B. Langston

Since Specialization
Citations

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

Fields of papers citing papers by David B. Langston

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David B. Langston. 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 David B. Langston. The network helps show where David B. Langston may publish in the future.

Co-authorship network of co-authors of David B. Langston

This figure shows the co-authorship network connecting the top 25 collaborators of David B. Langston. A scholar is included among the top collaborators of David B. Langston 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 David B. Langston. David B. Langston 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.
Langston, David B., et al.. (2024). New Fungicide Options for Managing Sclerotinia Blight of Peanut. Plant Health Progress. 26(2). 130–135. 1 indexed citations
2.
Culbreath, A. K., et al.. (2023). Phenotypic Fungicide Resistance and Cross-Resistance Among Nothopassalora personata Populations. SHILAP Revista de lepidopterología. 4(3). 404–415. 2 indexed citations
3.
Chandel, Abhilash K., et al.. (2023). Pre-Harvest Corn Grain Moisture Estimation Using Aerial Multispectral Imagery and Machine Learning Techniques. Land. 12(12). 2188–2188. 4 indexed citations
4.
Jordan, David L., et al.. (2023). Survey of herbicide and fungicide use in peanut in North Carolina and Virginia in the United States. Crop Forage & Turfgrass Management. 10(1). 1 indexed citations
5.
Koch, Rachel A., Christine D. Smart, David B. Langston, et al.. (2022). Species Identification and Fungicide Sensitivity of Fungi Causing Alternaria Leaf Blight and Head Rot in Cole Crops in the Eastern United States. Plant Disease. 107(5). 1310–1315. 8 indexed citations
6.
Wei, Xing, et al.. (2021). Detection of Soilborne Disease Utilizing Sensor Technologies: Lessons Learned from Studies on Stem Rot of Peanut. Plant Health Progress. 22(4). 436–444. 3 indexed citations
7.
Dutta, Bhabesh, Ronald D. Gitaitis, Gaurav Agarwal, Teresa A. Coutinho, & David B. Langston. (2018). Pseudomonas coronafaciens sp. nov., a new phytobacterial species diverse from Pseudomonas syringae. PLoS ONE. 13(12). e0208271–e0208271. 21 indexed citations
8.
Keinath, Anthony P., Beth K. Gugino, M. T. McGrath, et al.. (2017). Predicting the risk of cucurbit downy mildew in the eastern United States using an integrated aerobiological model. International Journal of Biometeorology. 62(4). 655–668. 13 indexed citations
9.
Dutta, Bhabesh, Ronald D. Gitaitis, S. Ray Smith, & David B. Langston. (2014). Interactions of Seedborne Bacterial Pathogens with Host and Non-Host Plants in Relation to Seed Infestation and Seedling Transmission. PLoS ONE. 9(6). e99215–e99215. 48 indexed citations
10.
Gitaitis, Ronald D., et al.. (2013). An Epidemic of Downy Mildew caused by Peronospora destructor on Vidalia Sweet Onions in Georgia in 2012. Plant Health Progress. 14(1). 4 indexed citations
11.
Avenot, Hervé F., et al.. (2011). Molecular characterization of boscalid‐ and penthiopyrad‐resistant isolates of Didymella bryoniae and assessment of their sensitivity to fluopyram. Pest Management Science. 68(4). 645–651. 92 indexed citations
12.
Harrison, Kerry A., Paul E. Sumner, David B. Langston, et al.. (2008). Onion production guide. Talanta. 43(7). 1117–24. 36 indexed citations
13.
Woodward, Jason E., et al.. (2006). Lilium lancifolium is Discovered as a New Host of Botryosphaeria parva in Georgia. Plant Health Progress. 7(1). 1 indexed citations
14.
Thies, Judy A., et al.. (2005). Host Resistance and Metam Sodium for Managing Root-knot Nematodes in a Pepper–Cucumber Rotation. HortScience. 40(7). 2080–2082. 7 indexed citations
15.
Langston, David B., et al.. (2004). Georgia extension vegetable news. 1 indexed citations
16.
Davis, Richard F. & David B. Langston. (2003). REPRODUCTION OF MELOIDOGYNE SPECIES ON YELLOW GRANEX ONION AND POTENTIAL YIELD SUPPRESSION. Nematropica. 33(2). 179–188. 2 indexed citations
17.
18.
Mandal, Bikash, et al.. (2001). First Report of Cabbage leaf curl virus (Family Geminiviridae) in Georgia. Plant Disease. 85(5). 561–561. 3 indexed citations
19.
Pappu, S. S., et al.. (2000). Outbreak of Tomato yellow leaf curl virus (Family Geminiviridae) in Georgia. Plant Health Progress. 1(1). 2 indexed citations
20.
Walcott, R. R., David B. Langston, F. H. Sanders, & Ronald D. Gitaitis. (2000). Investigating Intraspecific Variation of Acidovorax avenae subsp. citrulli Using DNA Fingerprinting and Whole Cell Fatty Acid Analysis. Phytopathology. 90(2). 191–196. 71 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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