Richard Shippy

4.9k total citations
9 papers, 589 citations indexed

About

Richard Shippy is a scholar working on Molecular Biology, Ecology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Richard Shippy has authored 9 papers receiving a total of 589 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Ecology and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Richard Shippy's work include Bacteriophages and microbial interactions (3 papers), Molecular Biology Techniques and Applications (3 papers) and RNA and protein synthesis mechanisms (3 papers). Richard Shippy is often cited by papers focused on Bacteriophages and microbial interactions (3 papers), Molecular Biology Techniques and Applications (3 papers) and RNA and protein synthesis mechanisms (3 papers). Richard Shippy collaborates with scholars based in United States, China and Spain. Richard Shippy's co-authors include Arnold Hampel, Andrew Siwkowski, Weida Tong, Yongming Sun, Leming Shi, Lei Guo, Stephen Harris, Tao Chen, Xutao Deng and Charles Wang and has published in prestigious journals such as Nature Biotechnology, Biochemistry and BMC Genomics.

In The Last Decade

Richard Shippy

9 papers receiving 566 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Richard Shippy United States	6	454	61	53	28	27	9	589
Damir Herman United States	7	380 0.8×	49 0.8×	56 1.1×	12 0.4×	35 1.3×	12	587
Rasmus Borup Hansen Denmark	6	345 0.8×	53 0.9×	59 1.1×	25 0.9×	54 2.0×	8	535
Sophie Virot France	7	623 1.4×	39 0.6×	27 0.5×	14 0.5×	15 0.6×	7	738
Tony Sawford United Kingdom	8	513 1.1×	69 1.1×	64 1.2×	30 1.1×	59 2.2×	10	644
Craig Wallin United States	4	437 1.0×	66 1.1×	80 1.5×	23 0.8×	69 2.6×	7	620
Dana T. Minnick United States	10	484 1.1×	102 1.7×	88 1.7×	21 0.8×	13 0.5×	11	640
Stephanie Fulmer-Smentek United States	4	405 0.9×	147 2.4×	74 1.4×	11 0.4×	23 0.9×	5	542
Kahn Rhrissorrakrai United States	11	226 0.5×	49 0.8×	66 1.2×	8 0.3×	59 2.2×	28	428
S. Sahu India	10	274 0.6×	32 0.5×	53 1.0×	12 0.4×	18 0.7×	25	425
Tomi Suomi Finland	12	582 1.3×	63 1.0×	62 1.2×	37 1.3×	9 0.3×	33	817

Countries citing papers authored by Richard Shippy

Since Specialization

Citations

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

Fields of papers citing papers by Richard Shippy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richard Shippy

This figure shows the co-authorship network connecting the top 25 collaborators of Richard Shippy. A scholar is included among the top collaborators of Richard Shippy 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 Richard Shippy. Richard Shippy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

1.

Shippy, Richard, et al.. (2010). Microarray analysis of an unbalanced t(4;13) translocation narrows down the trisomy 13 associated polydactyly to a 7 Mb region. American Journal of Medical Genetics Part A. 152A(11). 2906–2907. 1 indexed citations

2.

Tong, Weida, Anne Bergstrom Lucas, Richard Shippy, et al.. (2006). Evaluation of external RNA controls for the assessment of microarray performance. Nature Biotechnology. 24(9). 1132–1139. 69 indexed citations

3.

Guo, Lei, Edward K. Lobenhofer, Charles Wang, et al.. (2006). Rat toxicogenomic study reveals analytical consistency across microarray platforms. Nature Biotechnology. 24(9). 1162–1169. 308 indexed citations

4.

Adak, S., et al.. (2006). Considerations in Making Microarray Cross-Platform Correlations. 83. 101–102. 2 indexed citations

5.

Shippy, Richard, Timothy J. Sendera, Chockalingam Palaniappan, et al.. (2004). Performance evaluation of commercial short-oligonucleotide microarrays and the impact of noise in making cross-platform correlations. BMC Genomics. 5(1). 61–61. 111 indexed citations

6.

Richardson, Max W., Richard Shippy, Andrew Siwkowski, et al.. (2004). Design, Targeting, and Initial Screening of sTRSV- Derived Hairpin Ribozymes for Optimum Helix 1 Length and Catalytic Efficiency In Vitro. Humana Press eBooks. 339–358. 1 indexed citations

7.

Shippy, Richard, et al.. (1999). The Hairpin Ribozyme: Discovery, Mechanism, and Development for Gene Therapy. Molecular Biotechnology. 12(1). 117–130. 28 indexed citations

8.

Shippy, Richard, Andrew Siwkowski, & Arnold Hampel. (1998). Mutational Analysis of Loops 1 and 5 of the Hairpin Ribozyme. Biochemistry. 37(2). 564–570. 33 indexed citations

9.

Siwkowski, Andrew, Richard Shippy, & Arnold Hampel. (1997). Analysis of Hairpin Ribozyme Base Mutations in Loops 2 and 4 and Their Effects on cis-Cleavage in Vitro. Biochemistry. 36(13). 3930–3940. 36 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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