Adam M. Whaley

1.4k total citations
8 papers, 365 citations indexed

About

Adam M. Whaley is a scholar working on Plant Science, Molecular Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Adam M. Whaley has authored 8 papers receiving a total of 365 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Plant Science, 2 papers in Molecular Biology and 1 paper in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Adam M. Whaley's work include Soybean genetics and cultivation (4 papers), Legume Nitrogen Fixing Symbiosis (4 papers) and Plant Genetic and Mutation Studies (3 papers). Adam M. Whaley is often cited by papers focused on Soybean genetics and cultivation (4 papers), Legume Nitrogen Fixing Symbiosis (4 papers) and Plant Genetic and Mutation Studies (3 papers). Adam M. Whaley collaborates with scholars based in United States, India and Mexico. Adam M. Whaley's co-authors include Jessica A. Schlueter, Douglas R. Cook, R. Varma Penmetsa, Rajeev K. Varshney, Andrew Farmer, Ashish Kumar, Noelia Carrasquilla‐Garcia, Hari D. Upadhyaya, Pooran M. Gaur and Trushar Shah and has published in prestigious journals such as PLANT PHYSIOLOGY, BMC Genomics and Plant Biotechnology Journal.

In The Last Decade

Adam M. Whaley

8 papers receiving 358 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Adam M. Whaley United States 7 328 92 61 34 7 8 365
J. Gai China 9 361 1.1× 125 1.4× 101 1.7× 23 0.7× 13 1.9× 15 420
Ghana S. Challa United States 7 235 0.7× 88 1.0× 42 0.7× 21 0.6× 14 2.0× 10 276
Cris L. Wijnen Netherlands 5 233 0.7× 115 1.3× 50 0.8× 19 0.6× 8 1.1× 7 266
K. Mori Japan 9 295 0.9× 261 2.8× 112 1.8× 17 0.5× 7 1.0× 18 399
Luyuan Dai China 8 221 0.7× 55 0.6× 159 2.6× 19 0.6× 4 0.6× 35 260
Karen Chamusco United States 7 272 0.8× 208 2.3× 27 0.4× 27 0.8× 20 2.9× 10 318
Yingbin Nie China 6 247 0.8× 96 1.0× 39 0.6× 9 0.3× 10 1.4× 16 285
Noor Liyana Sukiran Malaysia 6 283 0.9× 174 1.9× 24 0.4× 30 0.9× 7 1.0× 14 320
K. Rosenfeld Israel 5 296 0.9× 180 2.0× 31 0.5× 91 2.7× 12 1.7× 7 355
Huili Wen China 5 309 0.9× 105 1.1× 31 0.5× 10 0.3× 15 2.1× 6 329

Countries citing papers authored by Adam M. Whaley

Since Specialization
Citations

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

Fields of papers citing papers by Adam M. Whaley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adam M. Whaley

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

All Works

8 of 8 papers shown
1.
Lambirth, Kevin, Adam M. Whaley, Jessica A. Schlueter, Kenneth J. Piller, & Kenneth L. Bost. (2016). Transcript Polymorphism Rates in Soybean Seed Tissue Are Increased in a Single Transformant ofGlycine max. PubMed. 2016. 1–12. 2 indexed citations
2.
Lambirth, Kevin, Adam M. Whaley, Ivory Blakley, et al.. (2015). A Comparison of transgenic and wild type soybean seeds: analysis of transcriptome profiles using RNA-Seq. BMC Biotechnology. 15(1). 89–89. 19 indexed citations
3.
Whaley, Adam M., et al.. (2015). RNA-seq analysis reveals genetic response and tolerance mechanisms to ozone exposure in soybean. BMC Genomics. 16(1). 426–426. 20 indexed citations
4.
Lambirth, Kevin, Adam M. Whaley, Jessica A. Schlueter, Kenneth L. Bost, & Kenneth J. Piller. (2015). CONTRAILS: A tool for rapid identification of transgene integration sites in complex, repetitive genomes using low-coverage paired-end sequencing. Genomics Data. 6. 175–181. 12 indexed citations
5.
Saxena, Rachit K., R. Varma Penmetsa, Hari D. Upadhyaya, et al.. (2012). Large-Scale Development of Cost-Effective Single-Nucleotide Polymorphism Marker Assays for Genetic Mapping in Pigeonpea and Comparative Mapping in Legumes. DNA Research. 19(6). 449–461. 76 indexed citations
6.
Kumar, Ashish, R. Varma Penmetsa, Andrew Farmer, et al.. (2012). Large‐scale development of cost‐effective SNP marker assays for diversity assessment and genetic mapping in chickpea and comparative mapping in legumes. Plant Biotechnology Journal. 10(6). 716–732. 177 indexed citations
7.
Curtin, Shaun J., et al.. (2012). Co-expression of soybean Dicer-like genes in response to stress and development. Functional & Integrative Genomics. 12(4). 671–682. 13 indexed citations
8.
Coate, Jeremy E., Jessica A. Schlueter, Adam M. Whaley, & Jeff J. Doyle. (2011). Comparative Evolution of Photosynthetic Genes in Response to Polyploid and Nonpolyploid Duplication   . PLANT PHYSIOLOGY. 155(4). 2081–2095. 46 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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