Katherine A. Shen

808 total citations
8 papers, 632 citations indexed

About

Katherine A. Shen is a scholar working on Plant Science, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, Katherine A. Shen has authored 8 papers receiving a total of 632 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Plant Science, 2 papers in Molecular Biology and 1 paper in Biomedical Engineering. Recurrent topics in Katherine A. Shen's work include Plant-Microbe Interactions and Immunity (4 papers), Plant Pathogens and Resistance (2 papers) and Plant Disease Resistance and Genetics (2 papers). Katherine A. Shen is often cited by papers focused on Plant-Microbe Interactions and Immunity (4 papers), Plant Pathogens and Resistance (2 papers) and Plant Disease Resistance and Genetics (2 papers). Katherine A. Shen collaborates with scholars based in United States, France and Taiwan. Katherine A. Shen's co-authors include Richard W. Michelmore, Blake C. Meyers, Brandon S. Gaut, Doris B. Chin, Dean Lavelle, Pejman Rohani, Zhen Zhang, S. Sivaramakrishnan, O. Ochoa and Rosa Arroyo-García and has published in prestigious journals such as The Plant Cell, Biotechnology and Bioengineering and Molecular Plant-Microbe Interactions.

In The Last Decade

Katherine A. Shen

8 papers receiving 621 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Katherine A. Shen United States	8	564	187	52	41	38	8	632
Yijian He United States	9	522 0.9×	202 1.1×	47 0.9×	56 1.4×	32 0.8×	12	590
Thierry Liboz France	10	376 0.7×	290 1.6×	54 1.0×	17 0.4×	42 1.1×	14	480
Shane Murray South Africa	11	429 0.8×	245 1.3×	53 1.0×	44 1.1×	26 0.7×	24	504
Álvaro L. Pérez‐Quintero France	18	749 1.3×	227 1.2×	48 0.9×	30 0.7×	15 0.4×	30	842
Hyunggon Mang South Korea	13	783 1.4×	415 2.2×	35 0.7×	22 0.5×	19 0.5×	19	856
Dwight E. Bostwick United States	10	434 0.8×	216 1.2×	13 0.3×	62 1.5×	19 0.5×	11	500
Ji‐Qun Zhao China	16	975 1.7×	353 1.9×	54 1.0×	35 0.9×	16 0.4×	23	1.1k
Akane Matsushita Japan	11	856 1.5×	492 2.6×	69 1.3×	44 1.1×	33 0.9×	12	938
Megan I. Skaggs United States	10	554 1.0×	392 2.1×	13 0.3×	59 1.4×	19 0.5×	10	639
Stein Erik Lid Norway	8	560 1.0×	391 2.1×	62 1.2×	84 2.0×	29 0.8×	8	666

Countries citing papers authored by Katherine A. Shen

Since Specialization

Citations

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

Fields of papers citing papers by Katherine A. Shen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Katherine A. Shen. 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 Katherine A. Shen. The network helps show where Katherine A. Shen may publish in the future.

Co-authorship network of co-authors of Katherine A. Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Katherine A. Shen. A scholar is included among the top collaborators of Katherine A. Shen 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 Katherine A. Shen. Katherine A. Shen 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.

Wagschal, Kurt, Charles C. Lee, Que Kong, et al.. (2008). The construction and characterization of two xylan‐degrading chimeric enzymes. Biotechnology and Bioengineering. 102(3). 684–692. 38 indexed citations

2.

Pattanaik, Sitakanta, Claire H. Xie, Que Kong, Katherine A. Shen, & Ling Yuan. (2006). Directed evolution of plant basic helix–loop–helix transcription factors for the improvement of transactivational properties. Biochimica et Biophysica Acta (BBA) - Gene Structure and Expression. 1759(6). 308–318. 17 indexed citations

3.

Shen, Katherine A., Doris B. Chin, Rosa Arroyo-García, et al.. (2002). Dm3Is One Member of a Large Constitutively Expressed Family of Nucleotide Binding Site—Leucine-Rich Repeat Encoding Genes. Molecular Plant-Microbe Interactions. 15(3). 251–261. 67 indexed citations

4.

Meyers, Blake C., Doris B. Chin, Katherine A. Shen, et al.. (1998). The Major Resistance Gene Cluster in Lettuce Is Highly Duplicated and Spans Several Megabases. The Plant Cell. 10(11). 1817–1832. 243 indexed citations

5.

Meyers, Blake C., et al.. (1998). Receptor-Like Genes in the Major Resistance Locus of Lettuce Are Subject to Divergent Selection. The Plant Cell. 10(11). 1833–1833. 8 indexed citations

6.

Meyers, Blake C., Katherine A. Shen, Pejman Rohani, Brandon S. Gaut, & Richard W. Michelmore. (1998). Receptor-like Genes in the Major Resistance Locus of Lettuce Are Subject to Divergent Selection. The Plant Cell. 10(11). 1833–1846. 225 indexed citations

7.

Meyers, Blake C., Doris B. Chin, Katherine A. Shen, et al.. (1998). The Major Resistance Gene Cluster in Lettuce Is Highly Duplicated and Spans Several Megabases. The Plant Cell. 10(11). 1817–1817. 18 indexed citations

8.

Okubara, Patricia A., Rosa Arroyo-García, Katherine A. Shen, et al.. (1997). A Transgenic Mutant ofLactuca sativa(Lettuce) with a T-DNA Tightly Linked to Loss of Downy Mildew Resistance. Molecular Plant-Microbe Interactions. 10(8). 970–977. 16 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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