B. M. Wu

616 total citations
35 papers, 466 citations indexed

About

B. M. Wu is a scholar working on Plant Science, Cell Biology and Agronomy and Crop Science. According to data from OpenAlex, B. M. Wu has authored 35 papers receiving a total of 466 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Plant Science, 9 papers in Cell Biology and 6 papers in Agronomy and Crop Science. Recurrent topics in B. M. Wu's work include Plant pathogens and resistance mechanisms (10 papers), Plant Pathogens and Fungal Diseases (9 papers) and Plant Pathogens and Resistance (7 papers). B. M. Wu is often cited by papers focused on Plant pathogens and resistance mechanisms (10 papers), Plant Pathogens and Fungal Diseases (9 papers) and Plant Pathogens and Resistance (7 papers). B. M. Wu collaborates with scholars based in China, United States and Netherlands. B. M. Wu's co-authors include Krishna V. Subbarao, A.H.C. van Bruggen, Xinglong Chen, Yulin Jia, S. T. Koike, Huiquan Zheng, Binbin Cui, Jun Lin, Zhanhong Ma and H. Scherm and has published in prestigious journals such as Scientific Reports, Chemical Physics Letters and Journal of the Science of Food and Agriculture.

In The Last Decade

B. M. Wu

31 papers receiving 446 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
B. M. Wu China	13	377	119	71	63	50	35	466
Marie‐Odile Bancal France	13	439 1.2×	48 0.4×	119 1.7×	45 0.7×	47 0.9×	21	483
Francisco Xavier Ribeiro do Vale Brazil	16	859 2.3×	139 1.2×	62 0.9×	96 1.5×	26 0.5×	47	912
M. G. Eversmeyer United States	13	436 1.2×	94 0.8×	60 0.8×	134 2.1×	74 1.5×	32	558
Thomas J. Molnar United States	15	390 1.0×	172 1.4×	14 0.2×	97 1.5×	36 0.7×	57	526
Christina H. Hagerty United States	12	445 1.2×	108 0.9×	38 0.5×	83 1.3×	42 0.8×	27	536
Natacha Motisi France	10	250 0.7×	39 0.3×	78 1.1×	34 0.5×	51 1.0×	14	360
Milica Mihajlović Serbia	12	417 1.1×	182 1.5×	131 1.8×	35 0.6×	138 2.8×	46	516
R. Whitbread United Kingdom	13	496 1.3×	69 0.6×	43 0.6×	91 1.4×	69 1.4×	33	538
T. R. Cary United States	12	462 1.2×	27 0.2×	78 1.1×	56 0.9×	23 0.5×	24	496

Countries citing papers authored by B. M. Wu

Since Specialization

Citations

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

Fields of papers citing papers by B. M. Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of B. M. Wu

This figure shows the co-authorship network connecting the top 25 collaborators of B. M. Wu. A scholar is included among the top collaborators of B. M. Wu 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 B. M. Wu. B. M. Wu 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

He, Xiang, Hong Li, Yilun Liu, et al.. (2025). A Quantitative Monitoring Study of Environmental Factors Activating Caihua and Wooden Heritage Cracks in the Palace Museum, Beijing, China. Buildings. 15(5). 827–827.

Guo, Fangfang, Ruihui Wang, Ning Wang, et al.. (2024). Effects of Protection Time on Infection of Rice Panicle Blast. Plant Disease. 108(6). 1842–1850.

Sheng, Lianxi, H. Ren, Youjin Yuan, et al.. (2023). Ion-optical updates and performance analysis of High energy FRagment Separator (HFRS) at HIAF. Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms. 547. 165214–165214. 8 indexed citations

Liu, Wancai, et al.. (2022). Development of Two Early Forecasting Models for Predicting Incidence of Rice Panicle Blast in China. Phytopathology. 113(3). 448–459.

Wang, Cuicui, et al.. (2019). Population genetic structure of Puccinia striiformis f. sp. tritici at the junction of Gansu, Sichuan and Shaanxi Provinces in China. Phytopathology Research. 1(1). 9 indexed citations

Lu, Xiaohong, et al.. (2018). First Report of Common Bean (Phaseolus vulgaris) Stem Rot Caused by Colletotrichum spaethianum in China. Plant Disease. 103(1). 151–151. 1 indexed citations

Lu, Xiaohong, et al.. (2018). First Report of Common Bean (Phaseolus vulgaris) Root Rot Caused by Plectosphaerella cucumerina in China. Plant Disease. 102(9). 1849–1849. 4 indexed citations

Chen, Xinglong, Yulin Jia, Melissa H. Jia, et al.. (2018). Functional Interactions Between Major Rice Blast Resistance Genes, Pi-ta and Pi-b, and Minor Blast Resistance Quantitative Trait Loci. Phytopathology. 108(9). 1095–1103. 10 indexed citations

Chen, Xinglong, Yulin Jia, & B. M. Wu. (2018). Evaluation of Rice Responses to the Blast Fungus Magnaporthe oryzae at Different Growth Stages. Plant Disease. 103(1). 132–136. 18 indexed citations

10.

Zheng, Huiquan, Jun Lin, Binbin Cui, et al.. (2017). Genetic Characterization of Chinese fir from Six Provinces in Southern China and Construction of a Core Collection. Scientific Reports. 7(1). 13814–13814. 42 indexed citations

11.

Ma, Zhanhong, et al.. (2015). Multiple displacement amplification of whole genomic DNA from urediospores of Puccinia striiformis f. sp. tritici. Current Genetics. 61(2). 221–230. 8 indexed citations

12.

Uppala, Sai Sree, B. M. Wu, & Todd N. Temple. (2012). First Report of Fusarium solani on Utah Sweetvetch in the United States. Plant Disease. 97(3). 423–423. 3 indexed citations

13.

Wu, B. M., S. T. Koike, & Krishna V. Subbarao. (2010). Impact of Consumer-Driven Changes to Crop Production Practices on Lettuce Drop Caused bySclerotinia sclerotiorumandS. minor. Phytopathology. 101(3). 340–348. 5 indexed citations

14.

Wu, B. M., et al.. (2008). Nonlinear colony extension ofSclerotinia minorandS. sclerotiorum. Mycologia. 100(6). 902–910. 8 indexed citations

15.

Wu, B. M., et al.. (2008). Comparative Survival of Sclerotia of Sclerotinia minor and S. sclerotiorum. Phytopathology. 98(6). 659–665. 19 indexed citations

16.

Wu, B. M. & Krishna V. Subbarao. (2008). Effects of Soil Temperature, Moisture, and Burial Depths on Carpogenic Germination ofSclerotinia sclerotiorumandS. minor. Phytopathology. 98(10). 1144–1152. 64 indexed citations

17.

Wu, B. M., et al.. (2007). Incubation of excised apothecia enhances ascus maturation of Sclerotinia sclerotiorum. Mycologia. 99(1). 33–41. 6 indexed citations

18.

Wu, B. M., Krishna V. Subbarao, & A.H.C. van Bruggen. (2005). Analyses of the Relationships Between Lettuce Downy Mildew and Weather Variables Using Geographic Information System Techniques. Plant Disease. 89(1). 90–96. 12 indexed citations

19.

Wu, B. M., et al.. (2001). Validation of weather and leaf wetness forecasts for a lettuce downy mildew warning system. Canadian Journal of Plant Pathology. 23(4). 371–383. 4 indexed citations

20.

Wu, B. M., Krishna V. Subbarao, A.H.C. van Bruggen, & S. T. Koike. (2001). Comparison of Three Fungicide Spray Advisories for Lettuce Downy Mildew. Plant Disease. 85(8). 895–900. 7 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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