Alan R. Gingle

8.8k total citations
22 papers, 497 citations indexed

About

Alan R. Gingle is a scholar working on Molecular Biology, Plant Science and Cellular and Molecular Neuroscience. According to data from OpenAlex, Alan R. Gingle has authored 22 papers receiving a total of 497 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 8 papers in Plant Science and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Alan R. Gingle's work include Plant Virus Research Studies (4 papers), Research in Cotton Cultivation (3 papers) and Neuroscience and Neural Engineering (3 papers). Alan R. Gingle is often cited by papers focused on Plant Virus Research Studies (4 papers), Research in Cotton Cultivation (3 papers) and Neuroscience and Neural Engineering (3 papers). Alan R. Gingle collaborates with scholars based in United States, Canada and France. Alan R. Gingle's co-authors include Anthony Robertson, Joshua A. Udall, Justin T. Page, D. S. Himmelsbach, K. H. Tan, Andrew H. Paterson, Venkata K. Kishore, Judith M. Kolkman, Alexander Kozik and Adam Heesacker and has published in prestigious journals such as Science, Bioinformatics and Development.

In The Last Decade

Alan R. Gingle

22 papers receiving 457 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Alan R. Gingle United States	12	305	158	82	69	52	22	497
Odile Domergue France	12	627 2.1×	208 1.3×	68 0.8×	60 0.9×	12 0.2×	18	825
Vincent Chochois France	13	334 1.1×	253 1.6×	29 0.4×	34 0.5×	39 0.8×	20	614
T. H. H. Chen United States	9	591 1.9×	235 1.5×	123 1.5×	29 0.4×	14 0.3×	9	688
Keith Jech United States	7	124 0.4×	135 0.9×	116 1.4×	85 1.2×	31 0.6×	7	378
Daniela Seelenfreund Chile	13	162 0.5×	97 0.6×	60 0.7×	9 0.1×	84 1.6×	32	373
Julia Walter Germany	11	83 0.3×	209 1.3×	31 0.4×	14 0.2×	22 0.4×	16	366
Erika Lindquist United States	7	169 0.6×	156 1.0×	22 0.3×	79 1.1×	32 0.6×	8	392
Klaus Pistrick Germany	13	571 1.9×	224 1.4×	103 1.3×	20 0.3×	17 0.3×	45	788
Jen Sloan United Kingdom	14	873 2.9×	369 2.3×	41 0.5×	34 0.5×	16 0.3×	21	1.0k
M. G. Eversmeyer United States	13	436 1.4×	134 0.8×	19 0.2×	94 1.4×	10 0.2×	32	558

Countries citing papers authored by Alan R. Gingle

Since Specialization

Citations

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

Fields of papers citing papers by Alan R. Gingle

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alan R. Gingle. 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 Alan R. Gingle. The network helps show where Alan R. Gingle may publish in the future.

Co-authorship network of co-authors of Alan R. Gingle

This figure shows the co-authorship network connecting the top 25 collaborators of Alan R. Gingle. A scholar is included among the top collaborators of Alan R. Gingle 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 Alan R. Gingle. Alan R. Gingle 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

Page, Justin T., Alan R. Gingle, & Joshua A. Udall. (2013). PolyCat: A Resource for Genome Categorization of Sequencing Reads From Allopolyploid Organisms. G3 Genes Genomes Genetics. 3(3). 517–525. 74 indexed citations

Heesacker, Adam, Venkata K. Kishore, Wenxiang Gao, et al.. (2008). SSRs and INDELs mined from the sunflower EST database: abundance, polymorphisms, and cross-taxa utility. Theoretical and Applied Genetics. 117(7). 1021–1029. 100 indexed citations

Udall, Joshua A., Lex Flagel, Foo Cheung, et al.. (2007). Spotted cotton oligonucleotide microarrays for gene expression analysis. BMC Genomics. 8(1). 81–81. 38 indexed citations

Gingle, Alan R., Hongyu Yang, Peng W. Chee, et al.. (2006). An Integrated Web Resource for Cotton. Crop Science. 46(5). 1998–2007. 18 indexed citations

Yang, Hongyu & Alan R. Gingle. (2005). OxfordGrid: a web interface for pairwise comparative map views. Bioinformatics. 21(23). 4307–4308. 1 indexed citations

Pratt, Lee H., Chun Liang, Manish A. Shah, et al.. (2005). Sorghum Expressed Sequence Tags Identify Signature Genes for Drought, Pathogenesis, and Skotomorphogenesis from a Milestone Set of 16,801 Unique Transcripts. PLANT PHYSIOLOGY. 139(2). 869–884. 44 indexed citations

Yang, Hongyu, Hong Wang, & Alan R. Gingle. (2005). IntegratedMap: a Web interface for integrating genetic map data. Computer applications in the biosciences. 21(9). 2126–2127. 1 indexed citations

Gingle, Alan R., et al.. (2004). ESTminer: a Web interface for mining EST contig and cluster databases. Bioinformatics. 21(5). 669–670. 2 indexed citations

Paterson, Andrew H., Steven M. Brown, Peng W. Chee, et al.. (2004). Reducing the Genetic Vulnerability of Cotton. Crop Science. 44(6). 1900–1901. 43 indexed citations

10.

Tan, K. H., et al.. (1991). Chemical and spectral differences in humic matter from swamps, streams and soils in the southeastern United States. Geoderma. 49(3-4). 241–254. 11 indexed citations

11.

Tan, K. H., et al.. (1990). The geochemistry of black water in selected coastal streams of the Southeastern United States. Communications in Soil Science and Plant Analysis. 21(17-18). 1999–2016. 3 indexed citations

12.

Tan, K. H., et al.. (1989). Humic matter isolated from soils and water by the XAD‐8 resin and conventional NaOH methods. Communications in Soil Science and Plant Analysis. 20(13-14). 1453–1477. 13 indexed citations

13.

Gingle, Alan R.. (1985). Acetylcholine and carnitine sensitive growth in a Drosophila cell line. Comparative Biochemistry and Physiology Part C Comparative Pharmacology. 82(1). 235–241. 3 indexed citations

14.

Gingle, Alan R. & Anthony Robertson. (1979). Responses of the early chick embryo to external cAMP sources. Development. 53(1). 353–365. 9 indexed citations

15.

Robertson, Anthony, James F. Grutsch, & Alan R. Gingle. (1978). Cyclic Adenosine Monophosphate Production by Embryonic Chick Cells. Science. 199(4332). 990–991. 11 indexed citations

16.

Gingle, Alan R. & Anthony Robertson. (1977). Morphologies of Cells from 1-Day Chick Embryos. Science. 196(4285). 59–60. 5 indexed citations

17.

Robertson, Anthony & Alan R. Gingle. (1977). Axial Bending in the Early Chick Embryo by a Cyclic Adenosine Monophosphate Source. Science. 197(4308). 1078–1079. 12 indexed citations

18.

Gingle, Alan R. & Anthony Robertson. (1976). The Development of the Relaying Competence in Dictyostelium Discoideum. Journal of Cell Science. 20(1). 21–27. 28 indexed citations

19.

Gingle, Alan R.. (1976). Critical density for relaying in Dictyostelium discoideum and its relation to phosphodiesterase secretion into the extracellular medium. Journal of Cell Science. 20(1). 1–20. 33 indexed citations

20.

Gingle, Alan R. & T.M. Knasel. (1975). Undergraduate laboratory investigation of the dielectric constant of ice. American Journal of Physics. 43(2). 161–167. 3 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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